Logseq Knowledge Graph
Logseq MCP Tools provides AI assistants with structured access to Logseq knowledge graphs through a comprehensive set of tools for retrieving, analyzing, and manipulating data. Built with TypeScript using the Model Context Protocol SDK, it enables capabilities like retrieving page content, generating journal summaries, analyzing graph connections, identifying knowledge gaps, and suggesting potential connections between concepts. The implementation includes sophisticated natural language date parsing, DataScript query capabilities, and detailed content analysis features. It's particularly valuable for users who want to leverage AI assistants to explore, organize, and gain insights from their personal knowledge bases without leaving their conversational interface.
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 2026-09-02.
Scan details: Circle-IR · 2026-09-02 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- other
- Source
- PulseMCP
- Repository
- github.com/joelhooks/logseq-mcp-tools
- Author type
- human
- Last scanned
- 2026-09-02
- Updated
- 2026-09-02
Use via MCP
Resolve Logseq Knowledge Graph 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.