Semantic search over raw Claude Code session transcripts to retrieve detailed past context and decisions.
Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β or use 1-click editor setup below.
The install command below didn't complete successfully in our automated test.
bunx claude-find/bin/bash: line 1: bunx: command not found
This is an experimental automated check and can have false negatives β missing environment variables, a slow cold install, etc. It doesnβt necessarily mean somethingβs wrong. Last checked 1mo ago.
π‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.
Inspect callable tools, capabilities, and parameters exposed to AI agents by Claude Find.
Pull deep memory from across your Claude Code sessions β when you need it.

Semantic search over all your past Claude Code sessions. Finds context by meaning and keywords. Searches the raw conversation transcripts, not compressed summaries, so Claude gets the full picture: reasoning, constraints, failed approaches, and decisions.
setup starts Ollama, pulls the embedding model, sets session retention to permanent, and registers the MCP server with Claude Code. Sessions are indexed in the background on startup. Searches work immediately and return progressively more complete results as indexing continues.
Install Bun and Ollama, then run bunx claude-find setup. It detects your platform and guides you through anything missing.
In any Claude Code session:
Claude searches your past sessions semantically, finds the relevant conversations, and synthesizes the context: what was tried, what failed, what constraints you set, and what decisions were made.
~/.claude/projects/After upgrading, run bunx claude-find index to rebuild the index with the latest improvements.
MIT
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