WeChat Summarizer
This MCP server, developed by idoubi, enables AI assistants to query and summarize chat messages stored in a local database. Built in TypeScript, it integrates with Claude Desktop and provides a standardized interface for retrieving conversation history. The implementation stands out by offering flexible querying options and the ability to generate summaries based on custom prompts. By bridging AI models with chat logs, this server allows AI systems to analyze conversation patterns, extract insights, and provide context-aware responses. It is particularly useful for personal knowledge management, conversation analysis, and building more contextually-aware AI assistants that can reference and learn from past interactions.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-28.
Scan details: Circle-IR · 2026-09-28 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- database
- Source
- PulseMCP
- Repository
- github.com/chatmcp/mcp-server-chatsum
- Author type
- human
- Last scanned
- 2026-09-28
- Updated
- 2026-09-28
Use via MCP
Resolve WeChat Summarizer from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.