mhalder/qdrant-mcp-server

MCP server for semantic search using local Qdrant vector database and OpenAI embeddings

58
/ 100
Established

This tool helps software developers quickly find relevant code snippets, past changes, or project documentation by allowing them to ask questions in natural language. You feed it your codebase and Git history, and it produces highly relevant code, commits, or documents based on your queries, acting like a smart search engine for your development artifacts. It's designed for individual developers, team leads, or anyone needing to deeply understand or navigate large code repositories.

Available on npm.

Use this if you frequently struggle to find specific code functions, recall why certain changes were made, or locate relevant information across large or unfamiliar codebases and Git histories.

Not ideal if your primary need is general text search across unstructured documents outside of code or Git history, or if you require a simple keyword search without semantic understanding.

code-search developer-productivity git-history-analysis codebase-navigation software-engineering
Maintenance 10 / 25
Adoption 6 / 25
Maturity 24 / 25
Community 18 / 25

How are scores calculated?

Stars

21

Forks

13

Language

TypeScript

License

MIT

Last pushed

Feb 09, 2026

Commits (30d)

0

Dependencies

18

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