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LogSeq

This MCP server, developed by Salih, provides a seamless interface for AI assistants to interact with LogSeq via its API. Built using Python and the MCP library, it offers a range of tools for managing LogSeq graphs, including listing pages, searching content, and creating or updating pages. The server abstracts the complexities of API communication, allowing AI systems to easily integrate with LogSeq for note-taking and knowledge management tasks. It's particularly useful for scenarios requiring automated interaction with LogSeq, such as summarizing meeting notes, updating project statuses, or performing content searches across multiple pages. By bridging AI capabilities with LogSeq's functionality, this implementation enables more efficient and intelligent personal knowledge management workflows.

Cognium trust score

69%

Tier

Scanned

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: productivity
Source: PulseMCP
Repository: github.com/ergut/mcp-logseq
Author type: human
Last scanned: 2026-09-19
Updated: 2026-09-19

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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

Swap --scope user for --scope project to commit it to .mcp.json.

Your client Same endpoint everywhere; only the config key differs. The full list is in the descriptor.

Claude Desktop · Settings → Connectors → Add custom connector

https://api.skillsregistry.net/mcp

Paste the URL as the connector endpoint. No authentication.

ChatGPT · Settings → Connectors → Create (developer mode) → MCP server URL

https://api.skillsregistry.net/mcp

Authentication: none. Works in chat and deep research — the server exposes the connector search and fetch tools.

Codex CLI · ~/.codex/config.toml

[mcp_servers.skillsregistry]
url = "https://api.skillsregistry.net/mcp"