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The Wellx Design System MCP enables AI agents to access the single source of truth for Wellx design, including tokens, component specs, rules, and search, ensuring consistent design implementation across surfaces.

Arithmetic consistency checks for supplied financial statement data.

Enables AI agents to access real-time Binance cryptocurrency market data including prices, order books, candlestick charts, trading history, and 24-hour statistics through natural language queries.

Enables retrieving Bilibili video metadata, part lists, and timestamped official/AI subtitle transcripts through MCP tools, without downloading videos.

Enables programmatic creation of Whimsical diagrams from Mermaid markup generated by AI models like Claude through the Model Context Protocol.

Enables AI assistants to securely access Zebpay's spot and futures APIs for market data, trading, and account management through the Model Context Protocol, supporting clients like Cursor and Claude Desktop.

MCP server for the AssemblyAI API, providing tools for transcription, subtitles, speaker turns, word search, and LeMUR-based queries.

Enables AI assistants to manage tasks and projects in TickTick through the TickTick Open API, supporting CRUD operations on tasks and projects.

MCP server for accessing Gramax documentation portal. Enables searching articles, getting content, and navigation through natural language.

Connects AI clients like Claude, Cursor, and VS Code to a Gealo workspace's tasks, projects, meetings, documents, and chat with OAuth authentication and tenant isolation.

Enables developers to read project context, create documentation drafts, update reports, and retrieve tenant-scoped metrics through the Andiora platform APIs.

MCP server for npm package management, security analysis, and compatibility checking

Wraps Yandex Cloud Search API v2 for web search, returns compact JSON results.

A local gateway that exposes ServiceNow REST APIs as MCP tools, enabling natural language interaction with ServiceNow incidents, changes, CMDB, and scripts via Claude and other MCP clients.

Converts OpenAPI 3.x specifications into callable tools, enabling interaction with any REST API that has an API definition. Supports API key, Bearer, Basic, and OAuth2/OpenID Connect authentication methods. Includes a security policy engine with tool allowlists and denylists, host restrictions, and method filtering. Provides runtime response validation through Zod and AJV schema checking, Prometheus metrics for observability, and multiple transport options including stdio, streamable-http, and SSE.

Enables creation of secure-by-default MCP servers with 5-layer validation to protect against injection, path traversal, and other attack vectors.

A reference MCP server scaffold with per-user auth passthrough, read-only defaults, dry-run mode, and rate/spend capping, enabling developers to build secure MCP integrations with structured audit logging.

A comprehensive task management MCP server built with FastMCP, featuring full CRUD operations, intelligent filtering, and productivity-focused prompts.

This MCP server, developed by Hannes Rudolph, enables AI assistants to augment their responses with relevant documentation context through vector-based search and retrieval. Built as a fork of qpd-v's original implementation, it integrates with OpenAI for embeddings generation and Qdrant for vector storage. The server provides tools for adding documentation from URLs, performing semantic searches, extracting links, and managing a processing queue. By connecting AI capabilities with efficient vector search of documentation, this implementation allows AI systems to enhance their knowledge with domain-specific information in real-time. It is particularly useful for building documentation-aware AI assistants, implementing semantic documentation search, and creating context-aware developer tools that require access to up-to-date technical information.

Provides an instant MongoDB MCP server that can be used from any AI agent without local installation.