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October 10.2026
4 Minutes Read

Unlocking AI Potential: Choose Between MCP Servers and Skills for Your LLMs

AI policy and governance for Africa workshop concept with digital diagrams

Adding Value to Your Language Models with MCP and Skills

In today's tech-driven world, businesses are increasingly leveraging Language Learning Models (LLMs) for various applications, from customer service to data analysis. However, a common challenge arises: while these models are incredibly knowledgeable, they can lack the specificity needed for certain tasks. This is where Model Context Protocol (MCP) servers and skills come into play. These two powerful tools can enhance the function and utility of LLMs by providing customized data and context, making them pivotal for any entrepreneur looking to integrate advanced AI into their operations.

In 'MCP vs Skills: Which Is Right for Your AI Agent and LLMs?', the discussion dives into the role of MCP and Skills in enhancing language models, inspiring a deeper analysis of their impact on African businesses.

The Power of Context in AI

For business owners and tech enthusiasts, context is everything. LLMs, described as 'crystal ball prediction machines,' generate answers based on the vast array of information they've been trained on. Yet, to ensure that these models deliver accurate and relevant results, they need the right context. This is where context engineering comes in—an approach that involves supplementing the model with tailored data to enhance its accuracy and relevance.

For instance, if you want your LLM to retrieve customer data from a Customer Relationship Management system (CRM), simply feeding it the API documentation may not yield the best results. Instead, using MCP allows you to standardize how your AI communicates with this information, translating complex requests into simple, actionable queries. This is essential for ensuring your AI can access and manipulate real-time data seamlessly.

What Are Skills and How Do They Enhance AI Functionality?

Furthermore, while MCP serves as the bridge to data sources, Skills are the reinforcement that enables your AI to execute specific tasks proficiently. Consider Skills as modular add-ons that package instructions tailored for specific tasks—such as debugging code or validating database entries. These Skills are lightweight and can be auto-loaded into the LLM's context window when needed, providing a streamlined approach to task execution.

Imagine needing to analyze investment data in a uniform manner every time—this is where Skills shine, ensuring that results are consistent and reliable. In essence, both MCP and Skills contribute to significantly enhancing the capabilities of AI agents, allowing for tailored responses that align with user expectations.

Choosing Between MCP and Skills: A Strategic Decision

Now, the big question: which is more appropriate for your AI implementation, MCP or Skills? The decision largely depends on your business needs. Business owners looking for strict data access to customer information while maintaining control should lean towards MCP servers. On the other hand, if your goal is to incorporate repetitive and reusable processes into your AI, Skills will be your best friend.

Both MCP and Skills are open-source, widely adopted in today’s AI tools, and can be implemented locally on your machine, making them accessible for businesses at any stage of sophistication. The beauty of leveraging these tools lies in their ability to work in tandem, providing both the robust data connection and learned capabilities that sophisticated AI deployments demand.

Implications for African Business Owners

As African business owners venture into the realm of AI, understanding these tools becomes crucial. In an environment where AI policy and governance are still taking shape, the choice between MCP and Skills can significantly influence how businesses implement AI in ways that adhere to best practices and industry standards.

Both MCP and Skills contribute to the broader conversation about AI ethics and governance in Africa. They allow businesses to harness the power of AI while maintaining transparency and control over their data practices. This aligns with the global push towards responsible AI usage, a discussion that should resonate deeply with policy makers and educators in the region.

Conclusion and Your Next Steps

The landscape of AI is ever-evolving, filled with opportunities for those willing to adapt and learn. By exploring the capabilities of MCP servers and Skills, African business owners can not only enhance their operational efficiency but also contribute to the ongoing discourse on AI governance. Start implementing these tools in your business and position yourself at the forefront of the AI revolution.

Ready to take your AI applications to the next level? Don’t hesitate to engage with these technologies, and share your thoughts about your own experiences with MCP servers and Skills—let's build a stronger AI ecosystem together!

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Discover How Responsible AI Africa Is Shaping the Future Now

Imagine a bustling innovation hub in Lagos: developers craft smart health apps powered by AI, while community leaders host digital privacy workshops, guiding neighbours on how to protect their personal data online. This scenario captures a growing reality—the rise of Responsible AI Africa is changing how digital information and privacy awareness are woven into African societies. Not only is AI adoption surging across the continent, but a unique African perspective on ethics and privacy is taking a central role in global conversations about the future of artificial intelligence. A New Frontier: Responsible AI Africa and Digital Information Privacy Awareness As responsible AI Africa rapidly shapes the region’s digital future, questions of digital information privacy and awareness are moving front and centre. The continent is embracing artificial intelligence technologies with remarkable speed, yet doing so with a strong emphasis on information privacy, trust, and ethical AI development. In this article, we’ll explore how AI adoption, privacy awareness, and forward-thinking governance are empowering African innovation—making the region not just a consumer, but a leader in the responsible AI movement. How responsible AI Africa is influencing AI adoption and governance The intersection of privacy awareness and digital information in Africa Ethical challenges in information privacy awareness in AI Opportunities for Africa to lead global responsible AI conversations The State of AI Adoption in Africa: Is the Continent Ready for AI? Africa is at a pivotal moment in its digital transformation story. The question is no longer if the continent is ready for AI, but how it can leapfrog traditional challenges and build solutions that respect local values. AI adoption is visible across the continent, from smart agriculture in Kenya and Nigeria to automated health diagnostics in South Africa. Governments are outlining governance frameworks that prioritise both responsible AI and digital information privacy to ensure these technologies empower, rather than exploit, African citizens. Unlike many regions, Africa embraces an approach that marries innovation with privacy awareness, using these frameworks as a foundation for sustainable digital growth. Despite challenges such as limited digital infrastructure and varied levels of information privacy awareness, the continent is steadily positioning itself as a leader. National strategies and the African Union’s digital agenda increasingly focus on securing digital information and nurturing grassroots privacy awareness and AI adoption. This approach is setting the pace for responsible AI governance not just within Africa, but as a model for the global south and countries around the world. As African nations continue to develop robust frameworks for responsible AI and digital privacy, practical applications are emerging across various sectors. For example, leveraging AI to streamline website creation is becoming more accessible, and you can see how these innovations are simplifying processes in real-world scenarios by exploring how AI can simplify your WordPress site creation process. Learn more about AI-powered website building in Africa. Africa Ready for AI: Opportunities and Barriers The continent’s AI readiness is defined by both surging opportunities and persistent barriers. On one hand, there’s a groundswell of AI use in sectors like fintech, healthcare, and education, fuelled by the creativity of African entrepreneurs. Initiatives such as continent-wide coding bootcamps and tech hubs enable young innovators to experiment with artificial intelligence in safe and ethical ways. On the other hand, digital literacy gaps and uneven access to reliable internet pose real challenges to AI event participation and information privacy awareness. To fully unlock the potential of responsible AI Africa, policymakers must address these barriers with well-designed governance frameworks and inclusive education programmes—putting trust and safety at the core of the continent’s next digital leap. Positive momentum is visible: increasing numbers of African countries are now part of the global index on responsible AI, setting standards that reflect the unique ethics and priorities of African societies. This proactive approach signals that Africa is not only ready for AI but is redefining how it can best serve and protect its people. Awareness and AI Adoption: Bridging the Knowledge Gap The journey toward widescale AI adoption is closely bound to the level of privacy awareness and digital literacy among citizens. In many African countries, rapid urbanisation and digital expansion mean millions of people come online for the first time each year. Yet, much of the population remains unfamiliar with terms like digital information privacy awareness or the implications of their online actions. This is where awareness and AI play a crucial role: governments, non-profits, and private companies work together to bridge the knowledge gap through digital literacy and privacy training programmes. Success in awareness and AI adoption means every citizen, regardless of education level, can make informed decisions about their digital information and engage confidently in the continent’s digital future. Closing this gap is vital not only for the trustworthiness of AI deployments but also for ensuring that African voices are central in shaping responsible technologies, both across the continent and as part of wider global conversations. Responsible AI Africa and Information Privacy Awareness: A Critical Intersection The relationship between responsible AI Africa and information privacy awareness is both urgent and nuanced. In an age where data can so easily be exploited, Africa’s deliberate focus on digital information privacy provides a powerful example to other regions. This approach doesn’t just address ethical AI on a technical level: it ties in community values and prioritises respect for individual rights. At the heart of this movement, leaders, educators, and technologists emphasise that protecting digital information is not just a regulatory box-ticking exercise, but the cornerstone of trustworthy, sustainable AI. By spotlighting privacy awareness and the need for clear, robust ai governance structures, responsible AI Africa is leading international conversations and setting new standards in technology ethics. Digital Information and Privacy Awareness in African Contexts Privacy is deeply contextual. In Africa, digital information privacy awareness is shaped by social structures, communal values, and rapid digital change. Social scientists and technology advocates point out that, in many African settings, understanding how personal data is collected and used is just emerging as a public concern. Community workshops, radio programmes, and school initiatives play a significant role in nurturing information privacy awareness—reaching rural and urban audiences alike. As more Africans participate in the digital economy, protecting their digital information becomes both a challenge and an opportunity. AI development and use are guided by ethical codes that often reflect indigenous traditions and collective responsibility. This locally-rooted perspective strengthens Africa’s position as a model for responsible AI implementation globally. Information Privacy and Responsible AI: Challenges Unique to Africa While opportunities abound, the African context presents unique hurdles. Much of the continent still lacks comprehensive data protection laws, and enforcement can be hampered by resource gaps. Moreover, the rapid pace of AI adoption sometimes outstrips the ability of communities to fully understand or regulate new technologies. The emergence of privacy awareness and AI networks is helping address this gap, but ongoing vigilance is required. Additionally, striking the right balance between innovation and information privacy is an evolving conversation. African innovators must remain agile—designing AI systems that are powerful and beneficial, yet fully transparent and accountable to their users. Ultimately, these challenges drive Africa’s contribution to the global index on responsible AI: offering lessons in how ethical, context-aware solutions can scale across diverse regions. AI Governance: How Responsible AI Africa Is Ensuring Digital Information Privacy At the heart of Africa’s AI journey are robust ai governance initiatives focused on protecting digital information privacy. These frameworks include everything from data protection standards and oversight panels to multi-stakeholder taskforces dedicated to ethical AI. Government agencies, academics, and civil society work together to monitor evolving risks and update governance mechanisms accordingly. Critically, Africa’s approach goes beyond compliance. It emphasises transparency, public participation, and accountability. Several countries have launched dedicated ai governance bodies, while others are integrating information privacy awareness into national curricula and digital literacy campaigns. Through these actions, the continent is building both public trust and international credibility in its digital transformation. Responsible AI Africa: Key Governance Initiatives for Digital Information Privacy Initiative Description National Data Protection Authorities Independent agencies oversee and enforce personal data and privacy regulations, supporting responsible AI use and trust. African Union Digital Policy Agenda Continental framework harmonises AI governance and sets standards for digital information privacy across African countries. Public-Private AI Ethics Partnerships Collaborative initiatives bring together government, tech industry, and social scientists to create sustainable governance frameworks and awareness programmes. African Ethics and Leading the Global Conversation on Responsible AI “African leaders are uniquely poised to shape the global ethic of responsible AI through a keen awareness of digital information privacy.” African approaches to ai governance and responsible AI ethics are diverse and often deeply community-oriented. Unlike some top-down global models, African frameworks tend to integrate local traditions, collective values, and the lived realities of millions. This distinctive perspective has only grown in global relevance, with the continent actively contributing to international standards on digital information privacy and ethical AI. By building on Africa's rich ethical traditions and collaborative governance practices, leaders and innovators contribute not only regionally but on the world stage. African-led initiatives spearhead dialogue at high-impact conferences, and cross-border partnerships set new benchmarks for responsible AI—ensuring trust and safety in AI systems both at home and abroad. Diverse ethical frameworks in African AI strategies Collaboration on international AI governance standards Examples of African-led AI ethics initiatives Privacy Awareness and AI: Voices from Across Africa Voices from across the continent highlight the grassroots momentum driving privacy awareness and AI. Community leaders and activists organise workshops and digital literacy events, reaching vulnerable groups and amplifying the importance of information privacy awareness at every level of society. These efforts are often supported by academic researchers and tech professionals, who lend credibility and expertise to the cause. Across the continent, case studies reveal the transformative impact of targeted digital information privacy awareness campaigns. For instance, rural outreach programmes in East Africa combine traditional public meetings with modern technology to educate citizens about their rights regarding digital information. Meanwhile, leading African researchers provide new insights into how responsible AI can coexist with strong privacy frameworks, influencing both policy and practical deployments. Grassroots movements raising privacy awareness Case study: Digital information privacy awareness campaigns Leading researchers and their perspectives Lists: Actions to Support Responsible AI Africa and Strengthen Digital Information Privacy Awareness Promote broad-based privacy awareness campaigns Encourage community participation in AI policy-making Integrate information privacy education in schools These steps can empower every community to take an active role in shaping a digital future that respects African values and protects personal rights. Video Insight: Responsible AI Africa in Action Watch: Panel Discussion on Adoption on the Continent and Digital Information Privacy People Also Ask What is responsible AI and why does it matter in the African context? Answer: Responsible AI in Africa refers to developing and implementing artificial intelligence systems with a strong focus on ethics, transparency, and community values. In the African context, it is crucial because it ensures that AI adoption benefits all citizens equally, respects data privacy, and upholds public trust—key to sustainable digital growth across the continent. By promoting privacy awareness and ai governance, Africa sets an example for other regions on the importance of aligning innovation with people’s rights and local realities. FAQs on Responsible AI Africa, Privacy Awareness, and AI Governance What is responsible AI Africa and why is it important? Responsible AI Africa is an ongoing movement and set of practices that focus on developing artificial intelligence in ways that respect ethical guidelines, local values, and data privacy. It is important because it ensures that AI is used for positive social impact, safeguards digital information privacy, and amplifies Africa's voice in global AI conversations. How is information privacy ensured in African AI deployments? Information privacy in African AI projects is protected through a mix of national legislation, independent regulatory bodies, community education, and multi-stakeholder governance frameworks. Best practices include transparent data management, informed consent, and strong oversight to foster trust and safety. What are the challenges and successes in digital information privacy awareness across the continent? Challenges include digital literacy gaps, uneven regulatory enforcement, and differences in privacy awareness across regions. Successes are seen in widespread community outreach, integration of privacy education in schools, and international recognition of African-led AI ethics initiatives. Key Takeaways: The Impact of Responsible AI Africa on Digital Information Privacy Responsible AI Africa fosters ethical innovation rooted in local values Information privacy awareness is essential for trustworthy AI adoption in Africa African ethics can shape responsible AI conversations globally Looking Ahead: Join the Movement for Responsible AI Africa Engage with Responsible AI Africa initiatives to ensure digital information privacy and ethical AI adoption across the continent. Be part of the change—share knowledge, support privacy awareness campaigns, and help build Africa's secure digital future. As Africa continues to lead with its unique approach to responsible AI and digital privacy, the opportunities for innovation are only expanding. If you’re interested in how these advancements translate into practical tools for individuals and businesses, consider exploring the broader landscape of AI-driven solutions. Discover how AI website builders are simplifying site creation and empowering more Africans to participate in the digital economy by visiting this in-depth guide to AI-powered WordPress site creation. By staying informed and embracing these technologies, you can play an active role in shaping a future where ethical AI and digital empowerment go hand in hand. Sources Nigeria Ranks First in Africa in 2026 Global Responsible AI ...Global Center on AI GovernancePrioritizing Responsible AI in AfricaEvents & EducationIs Africa Ready for AI? Digital Information Privacy ...

Understanding AI Policy and Governance: Safeguards in a Rapidly Evolving Landscape

Update The Evolving Landscape of AI Safeguards: A New Era of Responsibility Artificial intelligence is evolving at an unprecedented pace, with newcomers like Anthropic's Fable 5 and OpenAI's GPT-5.6 hitting the scene recently. These releases have triggered an urgent conversation about the importance of safeguards in AI development. In the past, discussions around AI often centered on capabilities and potential; however, this latest wave of AI models has brought safeguards to the forefront like never before.In 'Fable 5, GPT-5.6 and the high stakes of AI safeguards,' the discussion dives into the intricate challenges of AI safety and the rapid advancements in technology. We’re breaking down key insights that reveal the larger implications for stakeholders across Africa. The Importance of Safeguards in AI Development With the rapid improvement of AI capabilities comes a heightened risk of misuse. The introduction of guardrails is now critical as developers strive to balance innovation with ethical considerations. Models like Fable and Mythos 5 showcase a commitment to implementing safeguards—yet concerns remain about the efficacy of these measures. As AI systems grow more advanced, so do the tactics of malicious actors, making the task of safeguarding these technologies increasingly complex. Classifiers and the Quest for Balance in AI Security One noteworthy strategy involves using classifiers: smaller AI systems designed to analyze user interactions in real time, throttling harmful outputs before they can wreak havoc. However, this approach raises questions. As Jeff Crume posited, overly strict classifiers could impede legitimate uses of AI, creating friction for those trying to innovate while simultaneously providing safeguards. This presents a paradox in AI evolution—how do we create enough checks without stifling progress? A Paradigm Shift: Open-Source Models in the Security Debate The emergence of open-source models, exemplified by Zhipu AI's GLM 5.2, complicates the safeguarding landscape. Unlike closed models that require selective access, many open models democratize AI access, creating a scenario where potentially harmful capabilities are depressingly within reach of anyone. Sophie Cunningham pointed out that while open-source accessibility serves as a double-edged sword, it also necessitates a community-focused approach to establish safety standards that can be universally adopted. The Ongoing Battle Against Agentic Ransomware In a similar vein, a new AI-driven threat has emerged—an agentic ransomware dubbed JADEPUFFER. This ransomware has sparked debate among cybersecurity experts regarding its sophistication and implications. Is this a significant leap in ransomware technology, or just another chapter in the evolving story of cyber threats? Analysts suggest that whether agentic or not, the threat landscape is evolving rapidly, calling for robust defenses against automated threats that operate with chilling speed. ClickFix: A New Level of Social Engineering Shifting focus, the rising ClickFix social engineering technique leverages user interactions to facilitate malicious activities. As attackers guide unwitting users to execute harmful commands through persuasive social engineering tactics, awareness and training programs will have to advance to combat this trend effectively. This highlights the need for a proactive approach in safeguarding not just the technology but also the users interacting with it. What the Future Holds: Predictions for AI Safeguards The conversation around AI security is far from over, and it's clear that while innovations are rapidly unfolding, vulnerabilities remain. The interplay of advancements in AI and cybersecurity will likely reveal new trends—some comforting, others concerning. Moving forward, focused collaboration between technology developers, cybersecurity experts, and policymakers will be critical to navigating what lies ahead. As the African continent embraces AI innovation, understanding the implications of AI policy and governance for Africa has never been more crucial. Engaging in meaningful dialogue around these subjects will empower business owners, educators, and community members alike—positioning Africa not just as consumers of technology but as active participants in shaping its future.

AI Code Refactoring: Revolutionizing Software Development in Africa

Update Navigating the Future of Code: The Promise of AI Code Refactoring In an era where technology increasingly dictates the pace and efficiency of business operations, AI code refactoring emerges as an innovative tool reshaping how we approach programming. Traditional code refactoring involves changing a program’s internal structure while maintaining its external behavior. This helps to keep code clean, understandable, and manageable. However, as complex software systems grow, so does the challenge of maintaining their quality and functionality. This is where AI steps in, offering both solutions and questions about safety and oversight.In 'What Is AI Code Refactoring? Agentic AI & Safe Code Changes', the discussion dives into the complexities of AI-assisted programming, exploring key insights that sparked deeper analysis on our end. Understanding AI Code Refactoring AI code refactoring capitalizes on the pattern recognition capabilities of machine learning models to improve existing code efficiently. Unlike conventional methods that require manual oversight, AI refactors code autonomously by adhering to specified goals. For instance, a developer can command, "Upgrade this library to the latest version," and the AI takes the reins. This approach bifurcates into two methods: inline refactoring and agentic refactoring. Inline refactoring provides suggestions alongside developers in real-time, offering recommendations like renaming variables or consolidating duplicate code blocks. On the other hand, agentic refactoring allows the AI to autonomously navigate the entire codebase and implement changes based on overarching objectives. Benefits of AI in Code Maintenance The integration of AI in code maintenance holds significant potential, particularly in combatting technical debt—the cost of additional rework caused by choosing an easy and limited solution instead of a better approach. AI can simplify complex tasks, streamline updates, and potentially enhance the overall quality of the software development lifecycle. For instance, by automatically identifying and consolidating duplicated logic, AI reduces redundancy, minimizes the potential for bugs, and improves the readability of the code. By streamlining processes, developers can spend more time on creative solutions and less on debugging issues caused by outdated code. This capability could revolutionize productivity for African business owners and tech enthusiasts, driving innovation on the continent. Guardrails for AI-Driven Refactoring Despite its advantages, the deployment of autonomous AI in code modification raises paramount concerns regarding safety and reliability. The fear is that an AI might inadvertently remove crucial segments of code, such as a function that handles leap years, due to a lack of human oversight. To address this, AI-driven refactoring employs a systematic loop that integrates human feedback at various stages. After reporting its findings, the human developer has the final say on which suggested changes to implement. This human-in-the-loop approach ensures that potentially harmful alterations are caught before they affect production code. By mapping changes against a prior snapshot of the codebase, teams can roll back changes if any issues arise—a critical feature for maintaining stability. Aligning AI with Africa’s Technological Landscape As African nations increasingly adopt technological solutions, understanding AI policy and governance becomes crucial. The implications of AI in software engineering, such as code refactoring, highlight the need for policies that govern how AI is integrated within organizations. By establishing clear guidelines and promoting best practices, African nations can ensure that technology serves as a tool for empowerment rather than a source of unaddressed risk. It is essential for educators, policymakers, and community members to engage in conversations about the varied applications of AI. This will not only prepare future generations to harness these technologies effectively but also help establish a framework for ethical AI usage in business. By addressing these issues now, Africa can pave the way for sustainable technological growth that is both innovative and responsible. Conclusion: Ensuring a Safe and Effective Transition into AI AI code refactoring represents a significant leap toward improving software quality while managing development costs. However, the technology must be implemented with a strong foundation of policy oversight and human feedback loops to mitigate risks. As the technology evolves, so too must our understanding and governance of it. This is a moment for African nations to take charge, shaping an inclusive approach to AI that reflects local values and priorities. For business owners and community leaders, embracing the potential of AI in coding practices is essential to fostering a competitive edge in today’s digital economy. Explore how AI refactoring can streamline your software development processes today.

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{"company":"AI AFRICA NEWS MEDIA SOLUTIONS","address":"6749 S. Westnedge Avenue","city":"Portage","state":"MI","zip":"49002","email":"majesticmediasolution@gmail.com","tos":"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","privacy":"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