conversation-history-mcp
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@conversation-history-mcpsearch for how I set up authentication"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Conversation History MCP Server
A local MCP server that indexes and searches your Claude Code conversation history with both keyword and semantic search.
Features
Keyword Search - Fast full-text search using SQLite FTS5
Semantic Search - Find conceptually similar conversations using local embeddings
Session Listing - Browse recent sessions with summaries
Context Retrieval - Get full context from any past conversation
Fully Private - All data stays local, no external API calls
Related MCP server: RepoChatMCP
Installation
Prerequisites
Python 3.10+
Claude Code CLI
Quick Install
# Clone the repo
git clone https://github.com/SDillon001/conversation-history-mcp.git
cd conversation-history-mcp
# Install dependencies
pip install -r requirements.txt
# Create symlink to Claude's MCP directory
mkdir -p ~/.claude/mcp-servers
ln -s "$(pwd)" ~/.claude/mcp-servers/conversation-history
# Add to Claude Code settings
# See Configuration section belowConfiguration
Add to your ~/.claude.json under the mcpServers key:
{
"mcpServers": {
"conversation-history": {
"type": "stdio",
"command": "python3",
"args": ["server.py"],
"cwd": "/path/to/conversation-history-mcp"
}
}
}Replace /path/to/conversation-history-mcp with the actual path to your installation.
Usage
Once configured, the following tools are available in any Claude Code session:
search_sessions
Keyword search across all conversation history.
"Search for conversations about authentication"
→ Claude calls search_sessions(query="authentication")search_semantic
Semantic search to find conceptually similar conversations.
"Find conversations similar to database optimization"
→ Claude calls search_semantic(query="database optimization")list_sessions
List recent sessions with summaries.
"What did I work on last week?"
→ Claude calls list_sessions(days=7)get_session
Get full context from a specific session.
"Show me the full conversation from session abc123"
→ Claude calls get_session(session_id="abc123")rebuild_index
Force rebuild the search index (usually not needed).
"Rebuild the conversation index"
→ Claude calls rebuild_index()How It Works
Indexing - On startup, the server scans
~/.claude/projects/for JSONL session filesFTS5 - Messages are indexed in SQLite with full-text search
Embeddings - Using
sentence-transformers/all-MiniLM-L6-v2(runs locally)Incremental - Only new sessions are indexed after first run
Data Storage
~/.claude/mcp-servers/conversation-history/
└── data/
├── index.db # SQLite with FTS5 (keyword search)
└── chroma/ # ChromaDB (semantic search embeddings)Your conversation history stays in ~/.claude/projects/ - this server only creates a search index.
Privacy
No external API calls - Embeddings generated locally
No data leaves your machine - Everything stays in
~/.claude/Read-only access - Server only reads session files, never modifies them
Development
# Run server directly for testing
python server.py
# Run tests
pytest tests/License
MIT
This server cannot be installed
Maintenance
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