Logseq
Provides direct integration with local Logseq instances through the Logseq API, enabling AI assistants to read, create, and modify pages and blocks in your personal knowledge graph. The implementation supports both regular pages and journal entries with proper date formatting, hierarchical block structures with parent-child relationships, and advanced operations like block searching, moving, and linked reference tracking. Built for knowledge workers who want to seamlessly integrate AI assistance into their Logseq workflows, it's particularly valuable for automated note-taking, content organization, daily journaling, and cross-referencing information across your personal knowledge base without leaving your AI assistant 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
- search
- Source
- PulseMCP
- Repository
- github.com/mikeysrecipes/logseq-mcp
- Author type
- human
- Last scanned
- 2026-09-02
- Updated
- 2026-09-02
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.