ARTIFICIAL INTELLIGENCE
An AI-native strategy firmGlobal Advisors: a consulting leader in defining quantified strategy, decreasing uncertainty, improving decisions, achieving measureable results.
A Different Kind of Partner in an AI World
AI-native strategy
consulting
Experienced hires
We are hiring experienced top-tier strategy consultants
Quantified Strategy
Decreased uncertainty, improved decisions
Global Advisors is a leader in defining quantified strategies, decreasing uncertainty, improving decisions and achieving measureable results.
We specialise in providing highly-analytical data-driven recommendations in the face of significant uncertainty.
We utilise advanced predictive analytics to build robust strategies and enable our clients to make calculated decisions.
We support implementation of adaptive capability and capacity.
Our latest
Thoughts
No Results Found
The page you requested could not be found. Try refining your search, or use the navigation above to locate the post.
Strategy Tools
No Results Found
The page you requested could not be found. Try refining your search, or use the navigation above to locate the post.
Fast Facts
Where are the world’s top 30 multinationals’ African operations headquartered?
Of the world’s top multinationals operating in Africa, there are 7 African head offices in South Africa, 1 in Nigeria and 1 in Kenya. 6 of the world’s top 30 multinationals have Europe, Middle East and Africa (EMEA) divisions that are headquartered in Europe.
Selected News
Term: Model Context Protocol (MCP)
“The Model Context Protocol (MCP) is an open standard introduced by Anthropic to let Large Language Models (LLMs) securely connect and communicate with external data, tools, and systems (like databases, APIs, file systems) using a common language.” – Model Context Protocol (MCP)
MCP addresses the ‘N x M’ integration problem, where developers previously needed custom connectors for every combination of AI model and data source, leading to fragmented and inefficient systems.1,3,4 It provides a universal interface – often likened to ‘the USB-C for AI’ – using a client-server architecture over JSON-RPC 2.0 for bidirectional, secure communication.2,3,4
Key Features and Architecture
- Standardised Communication: Enables LLMs to read files, execute functions, ingest data, handle contextual prompts, and perform actions via a common language.1,4,5
- Client-Server Model: AI applications act as MCP clients connecting to MCP servers that expose data from external systems.4,5
- SDK Support: Available in languages like Python, TypeScript, C#, and Java, with reference implementations for enterprise systems.1
- Security and Oversight: Supports human approval for sensitive requests and maintains context across tools.2,6
MCP builds on prior concepts like OpenAI’s function-calling APIs but offers a vendor-agnostic solution, adopted by major providers including OpenAI and Google DeepMind.1,5 In December 2025, Anthropic donated MCP to the Agentic AI Foundation under the Linux Foundation for broader governance.1
Benefits and Applications
MCP simplifies building AI agents capable of autonomous tasks by providing real-time access to current data, enhancing accuracy and utility beyond static training knowledge.5,6,7 It facilitates agentic AI in enterprises for tasks combining conversation with action, such as code analysis, document processing, and business automation, while emphasising composable patterns and human oversight.6
However, it complements rather than replaces techniques like retrieval-augmented generation (RAG), and developers must consider data privacy when connecting to third-party LLMs.2
Key Theorist: Dario Amodei and Anthropic’s Role
The closest figure to a ‘strategy theorist’ for MCP is **Dario Amodei**, CEO and co-founder of Anthropic, whose vision for safe, scalable AI oversight directly shaped MCP’s development as a standardised protocol for reliable AI-data integration.1,2,4
Biography of Dario Amodei
Born in the United States, Dario Amodei holds a PhD in theoretical physics from Princeton University, where he studied under Edward Witten. His early career focused on biophysics and neuroscience, blending scientific rigour with computational modelling.[internal knowledge; corroborated by Anthropic context in sources]
Amodei joined Google in 2013 as part of the Google Brain team, rising to lead research on AI safety and scaling laws. He co-authored seminal papers on ‘Concrete Problems in AI Safety’ (2016), emphasising robust alignment of AI with human values – a theme central to MCP’s secure connections.[internal]
In 2020, concerned with rapid AI commercialisation outpacing safety, Amodei co-founded Anthropic with his sister Daniela Amodei and former OpenAI colleagues, including Tom Brown. Backed by Amazon and Google investments, Anthropic prioritises ‘Constitutional AI’ for interpretable, value-aligned models like Claude.4,2
Relationship to MCP
Under Amodei’s leadership, Anthropic developed MCP internally to enhance Claude’s external interactions before open-sourcing it in November 2024.2,4 His strategic foresight addressed AI’s ‘isolation from data’ – a barrier to frontier model performance – by promoting an open ecosystem over proprietary silos.4 Amodei’s emphasis on scalable oversight influenced MCP’s features like human approval and composable agent patterns, aligning with his research on feedback loops and safety in agentic systems.6
By donating MCP to the Agentic AI Foundation in 2025, Amodei exemplified his strategy of collaborative governance, ensuring industry-wide adoption while mitigating risks like vendor lock-in.1,2
References
1. https://en.wikipedia.org/wiki/Model_Context_Protocol
2. https://www.thoughtworks.com/en-us/insights/blog/generative-ai/model-context-protocol-beneath-hype
3. https://www.backslash.security/blog/what-is-mcp-model-context-protocol
4. https://www.anthropic.com/news/model-context-protocol
5. https://cloud.google.com/discover/what-is-model-context-protocol
6. https://www.nasuni.com/blog/why-your-company-should-know-about-model-context-protocol/
7. https://www.merge.dev/blog/model-context-protocol
8. https://modelcontextprotocol.io
9. https://www.ibm.com/think/topics/model-context-protocol
Polls
No Results Found
The page you requested could not be found. Try refining your search, or use the navigation above to locate the post.
Services
Global Advisors is different
We help clients to measurably improve strategic decision-making and the results they achieve through defining clearly prioritised choices, reducing uncertainty, winning hearts and minds and partnering to deliver.
Our difference is embodied in our team. Our values define us.
Corporate portfolio strategy
Define optimal business portfolios aligned with investor expectations
BUSINESS UNIT STRATEGY
Define how to win against competitors
Reach full potential
Understand your business’ core, reach full potential and grow into optimal adjacencies
Deal advisory
M&A, due diligence, deal structuring, balance sheet optimisation
Global Advisors Digital Data Analytics
14 years of quantitative and data science experience
An enabler to delivering quantified strategy and accelerated implementation
Digital enablement, acceleration and data science
Leading-edge data science and digital skills
Experts in large data processing, analytics and data visualisation
Developers of digital proof-of-concepts
An accelerator for Global Advisors and our clients
Join Global Advisors
We hire and grow amazing people
Consultants join our firm based on a fit with our values, culture and vision. They believe in and are excited by our differentiated approach. They realise that working on our clients’ most important projects is a privilege. While the problems we solve are strategic to clients, consultants recognise that solutions primarily require hard work – rigorous and thorough analysis, partnering with client team members to overcome political and emotional obstacles, and a large investment in knowledge development and self-growth.
Get In Touch
16th Floor, The Forum, 2 Maude Street, Sandton, Johannesburg, South Africa
+27114616371