ericbrown/project-context-mcp
by Various
Give Claude Code instant access to your project's institutional knowledge. Drop docs in .context/, mention them with @, and watch Claude become an expert on your codebase.
MCP
ericbrown/project-context-mcp
Added 1 June 2026
Overview
An MCP server that lets Claude Code read project documentation stored in a .context/ directory. Developers reference specific docs with @ mentions, giving Claude immediate access to institutional knowledge and codebase conventions.
Best for
Best for
Teams using Claude Code who want to maintain a shared, discoverable project knowledge base.
Use cases
- Onboard new developers to a codebase by linking architectural decisions
- Provide Claude with up-to-date style guides and API conventions during code reviews
- Document project-specific patterns and best practices for consistent AI assistance
How to use
Install
pip install project-context-mcp Tools exposed
uvx
Tested with
Claude Code
Notes
An MCP server that lets Claude Code read project documentation stored in a .context/ directory. Developers reference specific docs with @ mentions, giving Claude immediate access to institutional knowledge and codebase conventions.
4 stars on GitHub. Last updated 2026-01-14. Licensed MIT.
Use cases
- Onboard new developers to a codebase by linking architectural decisions
- Provide Claude with up-to-date style guides and API conventions during code reviews
- Document project-specific patterns and best practices for consistent AI assistance
Pros
- Ties documentation directly to Claude’s context with minimal setup
- Open source and easy to self-host
- Encourages living documentation that stays close to the code
Cons
- Requires manual upkeep of the .context/ docs to stay accurate
- Only works with Claude Code, not other AI assistants
- Relies on MCP infrastructure which adds an extra integration step
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Ties documentation directly to Claude's context with minimal setup
- Open source and easy to self-host
- Encourages living documentation that stays close to the code
Cons
- Requires manual upkeep of the .context/ docs to stay accurate
- Only works with Claude Code, not other AI assistants
- Relies on MCP infrastructure which adds an extra integration step
Open-source & AI alternatives
Swap-in tools that solve the same job. Weigh the trade-offs before you commit.
upstash/context7
Various
Context7 Platform -- Up-to-date code documentation for LLMs and AI code editors
repowise-dev/repowise
Various
Codebase intelligence for AI and humans: code health scores, auto-generated docs, git analytics, dead code detection, and architectural decisions via MCP.
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