Logseq
Logseq MCP Tools provides a set of tools that enable AI agents to interact with local Logseq knowledge graphs through the Model Context Protocol. Developed by apw124, this implementation offers comprehensive functionality for managing pages and blocks in Logseq, including creating, updating, and searching content. The server communicates with Logseq's API to perform operations like retrieving journal entries, managing hierarchical block structures, and executing complex searches. It's particularly useful for AI assistants that need to capture notes, organize information, or retrieve knowledge from a user's personal Logseq database without requiring direct access to the application.
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/apw124/logseq-mcp
- Author type
- human
- Last scanned
- 2026-09-28
- Updated
- 2026-09-28
Use via MCP
Resolve Logseq 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.