Enables SaaS applications to manage feature flags using TypeScript SDKs across React, Vue, browser, and Node.js environments, with CLI utilities and OpenFeature providers.

Enables seamless discovery, management, and codification of cloud and SaaS resources via Model Context Protocol, providing secure authentication and easy integration with tools like Claude and Cursor.

Translates tool calls from MCP‑compatible clients into authenticated HTTPS requests to Landing AI’s VisionAgent REST APIs, streaming back JSON responses and visual outputs such as bounding‑box overlays, masks, or depth maps.

mcp-yfinance-server is a real-time stock API built with Python, designed for seamless integration with MCP (Multi-Agent Control Protocol). It provides real-time and historical stock data, powering dashboards, AI agents, and research tools with financial insights.

Exposes Fabric patterns as tools for AI coding agents and assistants, enabling pattern execution directly within AI‑driven tasks and augmenting their capabilities.

MCP server for kintone, enabling AI tools like Claude Desktop to interact with kintone data.

BrowserLoop is a Model Context Protocol (MCP) server that automates web interactions by capturing high-quality screenshots and reading console logs from web pages. It enables AI agents to perform debugging, testing, and development tasks efficiently.

MCP-Servers is a Model Context Protocol (MCP) server that provides AI assistants with access to Microsoft OneNote, enabling AI models to read from and write to OneNote notebooks, sections, and pages.

Vectara-MCP provides any agentic application with access to fast, reliable RAG with reduced hallucination, powered by Vectara's Trusted RAG platform, through the MCP protocol.

Provides a scalable platform for dynamic tool registration and execution via API definitions, integrating services such as Claude.ai and Cursor.ai.

Provides access to Consul's functionality through a standardized MCP interface, enabling service management, health checks, KV store operations, sessions, events, prepared queries, status queries, and agent information.

Provides AI agents access to Liveblocks REST API functions, enabling creation, modification, and deletion of rooms, threads, comments, notifications, and read access to Storage and Yjs data.

Wraps the Riza API to present code‑interpreter capabilities as discrete MCP tools for LLMs.

Provides comprehensive cryptocurrency market data, trading signals, price predictions, and advanced analytics via function calls for AI assistants and agents.

Video Still Capture MCP is a Python implementation of the Model Context Protocol (MCP) that provides AI assistants with the ability to access and control webcams and video sources through OpenCV.

MCP GraphQL is a Model Context Protocol (MCP) server that bridges GraphQL APIs, automatically exposing each GraphQL query as a separate MCP tool. It simplifies the integration of GraphQL services with MCP-compatible clients, enabling seamless communication and consumption of GraphQL APIs.

An MCP server for advanced PDF text extraction, search, and analysis.

The KubeSphere MCP Server integrates KubeSphere APIs to provide resource access, divided into four modules: Workspace Management, Cluster Management, User and Roles, and Extensions Center.

Provides a standardized API to manage multiple Kubernetes clusters simultaneously using multiple kubeconfig files.

mcp-google-sheets is a TypeScript-based Model Context Protocol (MCP) server that enables AI agents to securely interact with Google Sheets. It provides a comprehensive toolset for programmatic access and manipulation of Google Sheets data, supporting various use cases like automated data entry, reporting, and workflow automation.

A Model Context Protocol (MCP) server implementation that provides AI models with access to Typesense search capabilities, enabling LLMs to discover, search, and analyze data stored in Typesense collections.

Provides a searchable registry of MCP servers, enabling AI assistants to locate and provision tools on demand.

Provides an MCP server that enables scraping of web pages via the ScrAPI service, returning the content as HTML or Markdown for downstream processing.

Extracts YouTube video metadata and transcripts via an MCP server with comprehensive logging and robust error handling.

Generate CAD parts and assemblies from natural language prompts via the gNucleus API.

Provides a Model Context Protocol server for managing Put.io transfers, enabling listing, adding, canceling, and retrieving links for torrent and magnet downloads.

Expose Root Signals evaluators as MCP tools for AI assistants and agents, enabling automated quality assessment of model outputs.

congress_gov_mcp is an unofficial Model Context Protocol (MCP) server that provides real-time access to legislative data from the official Congress.gov API. Its main purpose is to enable developers and researchers to programmatically access and analyze comprehensive U.S. congressional information.

ms-fabric-mcp is a Python-based server that implements the Model Context Protocol (MCP) to facilitate interaction with Microsoft Fabric APIs. It integrates Large Language Models (LLMs) to enhance PySpark notebook development, testing, and optimization within the Microsoft Fabric environment.

mcp-prefect is a Model Context Protocol (MCP) server implementation for Prefect, enabling AI assistants to interact with Prefect through natural language.

A Model Context Protocol (MCP) server implementation that integrates with Unleash Feature Toggle system, providing a bridge between LLM applications and Unleash feature flags.

Email MCP Server is a simple Model Context Protocol (MCP) server that enables AI agents to send emails and attach files through SMTP, acting as a bridge for AI assistants to interact with email services.