MCP Server ChatSum
Provides an MCP tool to query and summarize chat messages stored in a local SQLite database populated by a companion chatbot application. Exposes a single `query_chat_messages` tool for retrieval and AI-driven summarization.
Score Breakdown
⚙ Agent Friendliness
🔒 Security
Community/specialized tool. Apply standard security practices for category. Review documentation for specific security requirements.
⚡ Reliability
Best When
You are running the chatmcp chatbot locally and want an LLM to query or summarize your accumulated chat history through Claude Desktop or a similar MCP client.
Avoid When
Your chat data lives in a cloud service or a database schema other than the one produced by the chatmcp chatbot; the tight coupling makes it impractical for other setups.
Use Cases
- • Summarize recent chat conversations on demand from an AI assistant
- • Query specific chat history by parameters (date range, sender, etc.)
- • Build personal chat analytics on top of locally stored message data
Not For
- • Live chat platforms (Slack, Teams, Discord) without a separate data pipeline
- • Cloud-hosted or multi-user chat deployments
- • Users who do not also run the companion chatbot that populates the database
Interface
Authentication
No external auth; only requires CHAT_DB_PATH env var pointing to the local SQLite database.
Pricing
MIT-style open source; self-hosted only.
Agent Metadata
Known Gotchas
- ⚠ Requires the companion chatmcp chatbot to be running and populating the database first.
- ⚠ Only one tool exposed (query_chat_messages); limited surface area for complex agentic workflows.
- ⚠ Database path must be configured manually via .env; misconfiguration silently fails.
Alternatives
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Scores are editorial opinions as of 2026-03-07.