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maintenanceA no-server MCP toolkit that organizes project wikis from Feishu documents, messages, and more, enabling AI clients to answer questions with cited evidence to prevent hallucinations.
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MIT
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tools.run.pdf-api-mcp--mahiuddinalkamal
"Document Generation Tools (PDF, TXT, Word, Excel)" matching MCP servers:
- Flicense-qualityDmaintenanceEnables writing text content to Markdown files with folder organization and overwrite control, and listing recent Markdown files.
- FlicenseAqualityCmaintenanceA local AI document assistant MCP server that enables listing, reading, and editing documents via tools, resources, and prompts, allowing LLMs to manage document workflows through natural language.3
- Alicense-qualityCmaintenanceEnables semantic search of the KJV Bible and personal knowledge graph for scripture study, notes, prayers, and memory verses, all running locally with no cloud dependencies.MIT
- Flicense-qualityDmaintenanceEnables AI agents to extract PDF text, search with PDF++ citations, access vault files, manage tags, and run Dataview queries in Obsidian via MCP.1
- FlicenseAqualityDmaintenanceMCP server for personal knowledge management providing AI-powered tools for semantic search, audio transcription, image generation, and PPT creation.7
- Alicense-qualityBmaintenanceEnables searching, reading, and appending change notes in an Obsidian vault through local MCP tools.1BSD Zero Clause
- Flicense-qualityDmaintenanceConverts Markdown to styled PDFs using VS Code's markdown styling and Python's ReportLab, providing a simple note storage system with custom URI scheme.15
- Flicense-qualityDmaintenanceEnables safe interaction with PDFs, including listing files, extracting highlights with exact text, reading annotations and page text, and viewing metadata, all restricted to configured directories.2
- Flicense-qualityDmaintenanceA Model Context Protocol server for managing text notes, with resources (note:// URIs), tools (create_note), and prompts (summarize_notes).
- Flicense-qualityDmaintenanceEnables natural language interaction with Obsidian vaults through an MCP server, providing hybrid search, file management, and AI-powered analysis.2
- FlicenseAqualityDmaintenanceEnables comprehensive management of Obsidian vaults with full CRUD operations, advanced search, link/tag extraction, backlinks discovery, frontmatter editing, and template-based note creation through natural language.16
- AlicenseBqualityDmaintenanceA MongoDB Atlas-based Notion-style knowledge base management MCP server that supports user workspaces, project management, page CRUD with tree structure, and text search.3021MIT
- Alicense-qualityDmaintenanceA read-only toolkit for searching and analyzing Markdown note directories and Obsidian vaults through AI clients. It enables metadata extraction, full-text search, and natural language querying of note content, tags, and backlinks.134AGPL 3.0
- Alicense-qualityFmaintenanceA local MCP server that enables AI applications like Claude Desktop to securely access and work with Obsidian vaults, providing capabilities for reading notes, executing templates, and performing semantic searches.833MIT
- Flicense-qualityDmaintenanceProvides tools for indexing documents, creating notes, searching content, and extracting metadata to enable document processing and knowledge management.
- 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
- AlicenseBqualityDmaintenanceA simple server implementing the Model Context Protocol (MCP) that exposes personal tools like note-taking for compatible MCP clients or agents.22,504MIT
- Alicense-qualityCmaintenanceA minimal MCP server exposing four trivial tools: arithmetic calculation, current time lookup, and in-memory note storage. It serves as a teaching example to demonstrate the complete MCP request/response cycle with a Gemini agent.MIT