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The Brains

Founders and investors as MCP servers, every answer cited

2026-10-21

Product Introduction

  1. Definition: The Brains is an open-source collection of Model Context Protocol (MCP) servers. Each server is a specialized knowledge base that indexes and makes searchable the publicly available content—talks, essays, interviews, and posts—of a specific founder, CEO, or investor.
  2. Core Value Proposition: It exists to provide AI assistants like Claude, Cursor, ChatGPT, and Codex with direct, cited access to the curated wisdom and specific advice of top business leaders. This solves the problem of AI hallucinations on expert topics by grounding every response in a verifiable, quoted source from the individual's own body of work.

Main Features

  1. Searchable Individual Knowledge Bases: Each "brain" is an independent MCP server built by scraping, processing, and embedding content from a specific individual's public footprint. The technology stack involves web scraping tools, text embedding models (like those from OpenAI or Cohere), and a vector database for semantic search, all packaged into a standardized MCP server interface.
  2. Source-Attributed AI Responses: When a user queries an AI integrated with a Brain, the MCP server performs a semantic search on its vector database to find the most relevant content snippets. The AI then uses this context to formulate an answer, which is required to include direct quotes and a link back to the original source material (e.g., a specific blog post or YouTube interview timestamp).
  3. Flexible Integration & Curation: The service offers two primary access methods: a single URL to access all available brains or individual URLs for specific people. It features a public directory sorted by installation count, source volume, and update date. The project is community-driven, allowing users to request new brains and individuals to claim and verify their own knowledge base.

Problems Solved

  1. Pain Point: Information overload and source verification. Founders and operators spend excessive time sifting through hours of podcasts and lengthy essays to find a specific piece of advice. Furthermore, AI chatbots often provide generic or unverified business advice without attribution.
  2. Target Audience: Primary users are startup founders, entrepreneurs, product managers, and investors who use AI coding assistants (like Cursor) or general AI chat (like Claude) for strategic decision-making, brainstorming, and operational guidance.
  3. Use Cases: A founder can ask, "How should I price my SaaS product?" and get cited answers from Pieter Levels, Patrick Campbell, and others. A VC associate can query, "What does Paul Graham look for in a pre-seed investment?" within their workflow. A product manager can research "Ryan Hoover's launch tactics for Product Hunt" while planning a go-to-market strategy.

Unique Advantages

  1. Strengths & Limitations (Pros & Cons):

    • Pros: (1) Unparalleled Source Integrity: Every answer is grounded in a primary source, drastically reducing AI hallucination on expert topics. (2) Workflow Integration: Functions directly inside popular developer and AI tools via the emerging MCP standard. (3) Cost & Access: Completely free and open-source (MIT license), with transparent community-driven development. (4) Focused Expertise: Provides deep, narrow expertise from specific individuals, unlike a general web search.
    • Cons: (1) Knowledge Latency: Brains are only as current as their last update; they cannot provide real-time opinions or insights on recent events. (2) Scope Limitation: Confined to an individual's public content, potentially missing broader context or private experiences. (3) Technical Barrier: Requires user knowledge of MCP server setup and configuration within their chosen AI tool. (4) Unofficial Status: Not affiliated with the individuals represented, which may lead to incomplete or misinterpreted context.
  2. Key Alternatives & Differentiation:

    • General Web Search (Google/Perplexity): While these can find the same articles, The Brains integrates directly into the AI chat interface, providing synthesized, cited answers without the user needing to open multiple browser tabs and read through full documents. It's a tool for synthesis, not just discovery.
    • Custom AI Chatbots (using GPTs or Custom Instructions): Users could manually create a knowledge base. The Brains differentiates by providing pre-built, meticulously sourced, and community-verified servers for high-profile individuals, saving dozens of hours of curation and technical setup.
    • Paid Expert Networks (e.g., GLG): These offer direct, live consultations with experts. The Brains is a static, asynchronous knowledge product. The key difference is cost (free vs. thousands of dollars) and format (searchable database vs. live call), making The Brains a preliminary research tool rather than a substitute for deep consultation.

Frequently Asked Questions (FAQ)

  1. Is The Brains MCP service free to use? Yes, The Brains is completely free and open-source software released under the permissive MIT license, allowing for both personal and commercial use without cost.
  2. How do I add a founder's brain to Claude Desktop or Cursor IDE? You need to configure the MCP server by adding the brain's server URL (either a specific individual or the aggregated server) to your AI client's configuration file (claude_desktop_config.json for Claude), which requires basic technical knowledge of the Model Context Protocol setup.
  3. How accurate and up-to-date are the answers from The Brains? Accuracy is high for verifiable quotes, as answers are directly extracted from sourced content. However, the information is only as current as the latest public talk or essay indexed for that individual, and it does not include private or real-time knowledge.
  4. Can I request a new brain or correct information in my own brain? Yes, the project is community-driven. You can request a new founder, CEO, or investor to be added, and individuals can claim their own brain to verify its contents, correct errors, and suggest additional source materials.
  5. What is the Model Context Protocol (MCP) used by The Brains? MCP is an open protocol developed by Anthropic that allows AI applications to connect securely to external data sources, tools, and services. The Brains uses MCP to serve its vector databases of founder knowledge as a standardized resource for compatible AI assistants.

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