Serves markdown instructions as tools to provide LLMs with team playbooks, coding standards, domain knowledge, and personal workflows through version-controlled files.
Enables AI agents to fetch, search, and retrieve markdown content from remote Git repositories. Supports both public and private repositories with authentication, allowing AI assistants to access documentation and notes stored in Git.
Provides direct access to local documentation files through simple search and overview tools, enabling LLMs to query project-specific markdown documentation without requiring vector databases or RAG pipelines.
Provides access to markdown documentation for local NPM, Go, and PyPi packages as MCP resources or tools. It enables informed code generation by surfacing documentation directly from a project's working directory.