Minima (Local RAG)
This MCP server, developed by dmayboroda, enables AI assistants like Claude to perform RAG (Retrieval-Augmented Generation) on local files. Built in Python and leveraging the uv package manager, it integrates seamlessly with MCP clients through a simple configuration file. The server allows the client to search and retrieve context from the user's local documents, enhancing its ability to provide relevant and personalized responses. By granting access to private or offline information sources, this implementation extends the client's knowledge base beyond its training data, making it particularly useful for tasks involving confidential documents, personal notes, or frequently updated local resources.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- ai-ml
- Source
- PulseMCP
- Author type
- human
- Updated
- 2026-05-26
Use via MCP
Resolve Minima (Local RAG) from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.