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"Using Logseq data as context for chat applications" matching MCP servers:
- Flicense-quality-maintenanceEnables AI to automatically search, retrieve, and organize your Cursor chat history across sessions. Supports tagging, nicknames, project-scoped search, and full-text search to maintain context between conversations.
- AlicenseCqualityCmaintenancePython stdio MCP server that interfaces with the Logseq local HTTP API, enabling tools to manage pages, blocks, queries, and graph configurations in Logseq.642MIT
- Alicense-qualityDmaintenanceAn MCP server for interacting with Logseq graphs, enabling AI assistants to read, create, and manipulate Logseq content.MIT
- Alicense-qualityDmaintenanceConnects MCP-compatible AI assistants to Logseq graphs, enabling block-first operations, block references, and context graph building.MIT
- 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
- AlicenseAqualityDmaintenanceA 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
- AlicenseBqualityBmaintenanceEnables AI assistants like Claude to directly read, write, search, and navigate your local Logseq knowledge graph, including managing journals, pages, backlinks, and page relationships without manual copy-pasting.11136MIT
- Alicense-qualityDmaintenanceA NestJS-based server that enables AI agents to interact with Logseq graphs through its HTTP API for managing notes, journals, and blocks. It features specialized tools for project development tracking, including progress logs, technical decisions, and workflow prompts.32MIT
- Alicense-qualityDmaintenanceConnects AI assistants to Logseq knowledge graphs to read, write, and search pages, blocks, and journals via the Model Context Protocol. It features 17 tools for full graph management, including CRUD operations, batch block insertion, and full-text search.37Apache 2.0
- Flicense-qualityFmaintenanceA Model Context Protocol server that provides AI assistants with structured access to your Logseq knowledge graph, enabling retrieval, searching, analysis, and creation of content within your personal knowledge base.70
- AlicenseAqualityDmaintenanceRun DeepSeek as a real sub-agent inside Claude Code / Codex CLI — not just a single LLM call. DeepSeek gets its own 7-tool agent loop (Read/Write/Edit/Bash/Glob/Grep/NotebookEdit) inside a sandboxed workspace.223MIT
- AlicenseAqualityCmaintenanceEnables interaction with your Logseq personal knowledge management system via MCP, allowing retrieval of tagged notes and todo lists through Logseq's HTTP API.39MIT
- AlicenseBqualityDmaintenanceMaps shell commands to standard MCP tools using single-file YAML specs.491MIT
- Alicense-qualityCmaintenanceA Windows-optimized server providing universal data analytics for JSON and CSV files through over 32 tools including schema discovery and interactive visualizations. It is specifically designed for seamless integration with Claude Desktop on Windows.1MIT
- Alicense-qualityBmaintenanceAI assistant integration with Logseq knowledge graph: 21 tools to read, write, query, and search notes, enabling seamless interaction with your notes.30MIT
- Alicense-qualityDmaintenanceEnables AI assistants to interact with your local Logseq knowledge base through advanced search, content creation, template management, and knowledge organization with privacy-first, local-only operations.377MIT
- Flicense-qualityBmaintenanceEnables fetching weather forecasts for the USA via NWS API and for Israel via browser automation using Playwright.
- Flicense-qualityDmaintenanceConverts REST APIs into MCP tools using Gradio, demonstrated with a local IBM Granite model via Ollama. Enables LLM clients to interact with any REST API endpoint through the MCP protocol.
- Flicense-qualityBmaintenanceA conversational chat interface that uses RAG over a synthetic test corpus and a domain-knowledge corpus, exposing retrieval via MCP.