AI Conversation Logger
AI Conversation Logger MCP server that automatically captures and organizes AI interactions across multiple platforms including Claude Desktop and Cursor, storing conversations in structured markdown format with project-based organization and automatic tagging. The implementation features intelligent project detection through common indicators like package.json or .git directories, creates daily log files with conversation metadata, and includes hook-based automation that triggers logging when conversations end. Built with TypeScript and designed for developers who want persistent conversation history without manual logging, it supports both local project-based storage and global home directory fallbacks, making it valuable for maintaining context across development sessions and tracking AI-assisted coding workflows over time.
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 2026-09-19.
Scan details: Circle-IR · 2026-09-19 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- monitoring
- Source
- PulseMCP
- Author type
- human
- Last scanned
- 2026-09-19
- Updated
- 2026-09-19
Use via MCP
Resolve AI Conversation Logger 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.