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A Python MCP server for the Fireflies.ai meeting intelligence platform, providing 12 tools to list and search meetings, retrieve transcripts and summaries, access analytics, and manage user information. Uses the Fireflies GraphQL API with modular tool organization for meeting data access.

This MCP server provides access to San Antonio Spurs basketball news and information by scraping and parsing content from the Pounding The Rock blog. Built with Python 3.13 and the FastMCP framework, it offers tools to retrieve latest articles, search for specific content, extract game results, and get player information with recent mentions. The implementation features efficient caching to reduce redundant requests and includes structured data models for articles, game results, and player information. It enables AI assistants to deliver up-to-date Spurs content without direct web access, making it valuable for sports fans seeking team news, game analyses, and player updates.

This LangChain.js client for Model Context Protocol, developed by Isaac Wasserman, provides a TypeScript port of the original Python implementation. It enables seamless integration of MCP tools with LangChain.js workflows, allowing developers to leverage MCP's capabilities within JavaScript and TypeScript environments. The client initializes an MCP toolkit, extracts LangChain-compatible tools, and facilitates their use with LangChain agents. By bridging MCP and LangChain.js, this implementation expands the ecosystem of AI tools available to JavaScript developers, enabling the creation of more powerful and flexible AI applications. It is particularly useful for building chatbots, question-answering systems, and other AI-powered applications that require access to external tools and APIs within a JavaScript runtime.

Wraps the local agy CLI into an MCP server to provide a web_search tool that enables Claude Code to perform real internet searches through Gemini/Google.

Enables searching and reading curated health and medicine RSS/Atom feeds, with the ability to fetch any feed URL.

This Jira MCP server, developed by Vurtnec, enables seamless integration between Large Language Models and Jira project management software. Built with TypeScript and leveraging the Jira API, it provides tools for retrieving issue details, with potential for expansion to other Jira operations. The implementation features robust error handling, secure credential management, and easy setup through command-line arguments. It's particularly useful for AI assistants or applications needing to access Jira data programmatically, enabling tasks like project status reporting, issue tracking, or automated workflow management in software development and project management contexts.

Provides real-time weather data from the US National Weather Service API, enabling users to fetch active alerts for any US state and 5-period forecasts for any latitude/longitude location through natural language.

MCP server for the Omie API to list products, consult clients, and create budgets

Enables interaction with ServiceNow CMDB tables through a Model Context Protocol server, allowing users to query any CMDB table with filtering, field selection, and pagination capabilities.

An MCP server that gives AI agents web tools to read, crawl, map, extract, classify, enrich, screenshot, and pull images from live websites using the Synoppy API.

Enables agents to interact with OKF bundles: browse, search, read concepts, and audit trust and freshness.

MCP server for querying official data from São Paulo's DSV Digital. Read-only, works with any MCP client.

Local MCP server for NBP FX rates + gold fixing (Polish accounting-friendly)

Checks username availability and retrieves account information across major social media platforms including YouTube, TikTok, Threads, X (Twitter), and Instagram, perfect for brand name qualification and competitive research.

Connects to the Organizze API v2 to expose financial management tools for AI assistants. Supports listing and creating bank accounts, managing transactions (expenses and income), viewing credit card statements, and working with categories and budgets. Requires Organizze credentials for authentication and runs via stdio or Docker with streamable HTTP transport.

MCP server for running read-only SQL queries across MySQL and PostgreSQL databases with safety guardrails, credentials stored outside source, and support for multiple databases.

Protocols.io MCP server by Hao-Quan Liu that enables AI assistants to interact with the protocols.io platform for scientific protocol management through comprehensive search, retrieval, and editing capabilities. Built with Python using FastMCP and httpx, the implementation provides tools for searching public protocols by keyword, retrieving detailed protocol information and step-by-step procedures, managing personal protocol collections, and performing CRUD operations including protocol creation, title/description updates, and step management (add, delete, replace). The server requires protocols.io API authentication and supports multiple transport protocols (stdio, HTTP, SSE) with Docker deployment options, making it valuable for researchers managing laboratory protocols, scientists collaborating on experimental procedures, and academic institutions integrating protocol databases into AI-assisted research workflows.

Enables AI assistants to access YouTube video data including information retrieval, captions/transcripts, AI-powered summaries, screenshots, comments, and video search through the VidCap API.

MCP server for coding agents (Cursor, Claude Code, Codex) to install and configure the ContinueWith AI handoff widget on any website.

OEIS (On-Line Encyclopedia of Integer Sequences) MCP.