mcp-md-vector-search
@noriaki
About mcp-md-vector-search
A lightweight MCP server implementation that leverages PGLite and pgvector to perform efficient similarity searches on local Markdown documents using the Model Context Protocol (MCP).
Basic information
Config
No standard config provided
This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.
RepositoryTools
No tools detected
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
Overview
What is mcp-md-vector-search?
It is a lightweight MCP server that uses PGLite and pgvector to perform efficient similarity searches on local Markdown documents via the Model Context Protocol (MCP).
How to use mcp-md-vector-search?
—
Key features of mcp-md-vector-search
- Lightweight MCP server implementation.
- Uses PGLite for database management.
- Leverages pgvector for vector similarity search.
- Performs efficient similarity searches on local Markdown documents.
- Integrates with the Model Context Protocol (MCP).
Use cases of mcp-md-vector-search
—
FAQ from mcp-md-vector-search
—
More Memory & Knowledge MCP servers
MemoryMesh
CheMiguel23A knowledge graph server that uses the Model Context Protocol (MCP) to provide structured memory persistence for AI models.
Mcp Knowledge Graph
shanehollomanMCP server enabling persistent memory for Claude through a local knowledge graph - fork focused on local development
Notion MCP Integration
danhilseA simple MCP integration that allows Claude to read and manage a personal Notion todo list
Obsidian MCP Server
cyanheadsRead, write, search, and surgically edit Obsidian vault notes, tags, and frontmatter via MCP. STDIO or Streamable HTTP.
Notion MCP Server
awkoyNotion MCP server for Claude, Cursor, ChatGPT & Claude Desktop. Connect AI agents to Notion via Model Context Protocol — pages, databases, blocks, comments, files.
Comments