mcp-logseq
Related Servers
Alternatives to mcp-logseq
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityCmaintenanceAn MCP server for interacting with Logseq graphs, enabling AI assistants to read, create, and manipulate Logseq content.MIT

seojeom-mcpofficial
AlicenseNot gradedqualityDmaintenanceLocal-first MCP server that binds to a project opened by the Seojeom desktop app and serves its local wiki and graph data over stdio, enabling project-aware reading, searching, and writing of wiki and graph content.6 npmMIT- AlicenseAqualityBmaintenanceExposes the mindgap knowledge graph as an MCP server over stdio, providing tools to add, link, query, and manage nodes and edges in a local org-roam-style graph.10MIT
- AlicenseAqualityFmaintenanceA Model Context Protocol server that enables AI agents to interact with local Logseq knowledge graphs, supporting operations like creating/editing pages and blocks, searching content, and managing journal entries.1315MIT
- AlicenseAqualityDmaintenanceA Model Context Protocol server that enables AI agents to interact with a local Logseq instance, allowing operations like creating pages, managing blocks, and searching across a knowledge graph.131MIT
- FlicenseAqualityBmaintenanceMCP server for Personal OS API that enables managing tasks, notes, projects, collections, reviews, and more through typed tools over stdio.66-
TDQS
Scored across 64 tools
Most tools have clearly distinct purposes, but there is some overlap between query/search/datascript_query and get_block_properties/get_block_property, which could cause misselection. Overall, descriptions help differentiate.
The naming convention is largely consistent with verb_noun snake_case (e.g., get_block, create_page). However, a few outliers like check_current_is_db_graph, git_exec, and logseq_call deviate from the pattern, causing minor inconsistency.
The 64 tools are excessive for typical MCP servers (usually 3-15). While Logseq has many features, this number may overwhelm agents, leading to poor selection and increased complexity.
The tool set covers nearly all aspects of Logseq: blocks, pages, tags, properties, graphs, configs, Git, assets, queries. There are no obvious gaps; users can perform full CRUD and lifecycle operations.