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Enables intelligent search through FastMCP documentation using TF-IDF indexing, along with utility tools for arithmetic operations, text hashing, and web page content extraction via Jina Reader.

Enables interaction with Google Docs through a FastMCP server, allowing users to list, read, and create documents. It leverages the Google Docs and Drive APIs to provide seamless document management via Gemini-CLI.

Validates Mermaid diagrams with comprehensive grammar parsing supporting 28+ diagram types. Processes markdown files, ZIP archives, and direct input with detailed error reporting and enterprise-grade performance capabilities.

Provides access to Canadian federal parliamentary data (debates, bills, MPs, votes, Hansard transcripts) and legal information (case law and legislation through CanLII) for research and analysis.

Enables querying and analysis of FedRAMP documentation, compliance requirements, and security controls through structured tools that search markdown guidance, analyze FRMR datasets, and track regulatory changes.

Enables AI to read Feishu documents, send messages, and manage calendars with a focus on Chinese users and security.

Enables AI tools to extract Feishu documents (Docx/Wiki) via Feishu Open API and convert them to Markdown format with local image downloading and authentication.

MCP server for fffinstill — A Research Lab for Your Investment Ideas

An MCP server for managing RingCentral's Feature Flag Service (FFS) that enables searching for flags and retrieving user account information. It allows users to check and update feature flag statuses for specific accounts or extensions through natural language interfaces.

Enables progressive discovery and management of FHIR healthcare resources through intent-based grouping, with support for creating/validating resources, converting between formats, and transforming medical PDFs to FHIR DocumentReference resources.

Provides local-first memory storage and retrieval with automatic embedding, vector search, and knowledge graph capabilities. Enables agents to store memories locally and retrieve relevant context through hybrid search with optional Neo4j graph traversal.

Provides AI assistants with structured access to complete Figma developer documentation, including Plugin, Widget, and REST APIs. It enables users to search and read over 600 documentation pages to facilitate Figma-related development tasks.

A Python-based MCP server that enables users to view, search, and edit Figma files and Notion documents through natural language commands. It features specialized tools for automated Figma design generation from text descriptions and integrated project tracking across Figma, Notion, and Asana.

Converts Figma to Markdown. Strips out visual noise to drastically reduce LLM token consumption.

An MCP server that provides multiple file conversion tools for AI agents, supporting various document and image format conversions including DOCX to PDF, PDF to DOCX, image conversions, Excel to CSV, HTML to PDF, and Markdown to PDF.

Enables searching for files by name fragments via JSON-RPC or an HTTP REST API, with options for direct use or integration with other tools like VS Code.

File Format Converter (Pandoc) MCP

全面解析File Format Converter (Pandoc)MCP Server的核心功能、安装配置和实用案例。作为顶级Model Context Protocol服务器，File Format Converter (Pandoc)能让AI助手访问实时数据、执行操作，为您提供更智能的工作体验和自动化解决方案。

Enables intelligent file searching in local directories using natural language queries. Supports searching by file type, filename patterns, and content across multiple formats including PDF, Word, Excel, and text files with AI-powered relevance scoring.

A TypeScript-based MCP server that implements a simple notes system, allowing users to create, access, and generate summaries of text notes via URIs and tools.

Enables comprehensive filesystem operations including reading/writing files, directory management, file searching, editing with diff preview, compression, hashing, and merging with dynamic directory access control.