coco-search

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coco-search is an MCP server by VioletCranberry. Local-first hybrid semantic code search tool. Indexes codebases into PostgreSQL with pgvector embeddings via Ollama, combines vector similarity + keyword search with RRF fusion. Supports 30+ languages. Features CLI, MCP server, WEB dashboard and interactive REPL. It has 37 GitHub stars and ranks #630 of 1287 in Memory & Knowledge by stars.

Category
Memory & Knowledge
Author
VioletCranberry
GitHub stars
37
This week
Tracking since 18 Oct 2026
Language
Python
License
MIT (open source)
Last update
2026-10-22 (2 days ago)
Links
Source

How to install coco-search

Install steps differ per project, so follow the README in the coco-search repository. Most MCP servers start with a single command (npx -y <package>, uvx <package> or a Docker image) that you add to your client's config. The install guide shows where that goes in Claude Code, Claude Desktop, Cursor and VS Code.

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Frequently asked questions

What is coco-search?

coco-search is an MCP server by VioletCranberry in the Memory & Knowledge category. Local-first hybrid semantic code search tool. Indexes codebases into PostgreSQL with pgvector embeddings via Ollama, combines vector similarity + keyword search with RRF fusion. Supports 30+ languages. Features CLI, MCP server, WEB dashboard and interactive REPL. It has 37 GitHub stars and ranks #630 of 1287 in Memory & Knowledge by stars.

Is coco-search free and open source?

Yes. coco-search is published under the MIT license, so you can run, modify and self-host it at no cost. If it connects to a paid service, that service's own pricing and API terms still apply. Check the repository for the exact license text before using it commercially.

What are the alternatives to coco-search?

Other Memory & Knowledge projects on MCP Harbor include open-webui, graphify, claude-mem. Each alternative links to its own page with stars, license and recent activity. The Memory & Knowledge category ranks all 1287 by stars, and you can re-sort it by growth this week.

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