1,983 published MCP servers in this category · page 1 of 34 · all categories
AI-service MCP integrations make a supported model or AI application available through an MCP tool interface. They may connect speech, image, text or other generation workflows, depending on the server documentation.
Check which model or provider the server calls and which input and output types it supports. The MCP wrapper does not make a text-only endpoint accept an image or turn generated text into speech. Review provider credentials and billing separately from the MCP client connection.
Use a representative input and inspect the returned artifact in its destination format. For a multi-stage job, track each stage, retries and missing outputs. Browse the model directory when you need to compare the underlying model rather than the connector around it.
Compare vendor-maintained integrations, inspect hosted servers or return to all MCP categories.
The original Chromium automation reference server — simple, screenshot-driven browser control.
Build a programmable telecommunications stack for connecting telephony services with the Internet via a cloud-based utility.
Automates browsers and APIs, enabling Large Language Models (LLMs) to interact with web pages for tasks like screenshot capture and JavaScript
Workers, KV, R2 and D1 by conversation — Cloudflare's official remote servers for building and observability.
Search built for AI, not humans — semantic web search that returns model-ready content, plus code context.
Answers, not links — delegate questions to Perplexity's search-grounded models and get cited responses back.
Give your assistant a voice — text-to-speech, voice cloning and audio tools from the ElevenLabs API.
Official Redis server — search keys, inspect data structures and manage caches in natural language.
Give your assistant a real code sandbox — isolated cloud VMs for actually running the code it writes.
The ML hub in your context window — search models, datasets, papers and run Spaces from the official server.
Connects AI models to an Obsidian knowledge base for direct access and manipulation of notes and folders.
Thousands of open models on tap — run image, video and audio generation through Replicate's hosted API.
Enables Large Language Models to interact with Anki flashcard software through AnkiConnect using the Model Context Protocol.
Simplifies the process of integrating Anthropic's Model Context Protocol (MCP) into Claude Desktop and Cursor for enhanced functionality.
Demonstrates building an AI agent using the Model Context Protocol (MCP) with open LLMs like Meta Llama 3, OpenAI, or Google Gemini, and a SQLite
Exposes REST APIs defined by OpenAPI specifications as Model Context Protocol (MCP) tools, facilitating seamless integration into MCP-based workflows.
Generates images from text prompts using the Replicate API, designed for use with MCP clients like Cursor.
Enables Language Models to interact with Notion workspaces through standardized tools for managing pages and databases.
Enables enhanced web research capabilities for large language models through intelligent search queuing and advanced content extraction.
Generates MP3 files from text using the Kokoro-TTS model and optionally uploads them to S3.
Demonstrates building an MCP server in Node.js with custom tools for seamless integration with AI-assisted environments.
Integrates Ollama's local large language models into Model Context Protocol-powered applications.
Enables seamless access to OpenAI models directly within the Claude Desktop application.
Augments AI responses with relevant documentation context through vector search.
Automates resume updates by analyzing coding projects using AI.
Demonstrates implementation and usage of Anthropic's Model Context Protocol (MCP) with AWS Bedrock.
Integrates Feishu APIs to enable AI models to interact with Feishu services.
Automates browser interactions and enables Large Language Models (LLMs) to interact with web pages through Playwright and Chrome DevTools Protocol
Provides a command-line and API-based coding assistant utilizing OpenAI APIs, function calling, and streaming.
This community Workers MCP demo exposes image generation, page screenshots and image extraction through a local client adapter and Cloudflare backend.
Augment AI responses with context by retrieving and processing documentation through vector search.
Automates local development environment management using Large Language Models (LLMs).
Dynamically selects the most relevant tools for each query, providing access to unlimited LLM tools without context window limitations.
Enables AI models to understand and analyze codebases through natural language conversations.
Integrates Flux's image generation capabilities into AI coding assistants, enabling image generation, manipulation, and control directly within IDEs.
Exposes the entire Notion API as a collection of tools that Large Language Models (LLMs) can use to interact with Notion seamlessly.
Enables language models to access and query athlete activity data from the Strava API.
Integrates Google's OR-Tools constraint programming solver with Large Language Models using the Model Context Protocol for AI models.
Automates Unity workflows and manipulates assets using local large language models via Ollama.
Generates images from text prompts using the Together AI platform through a Model Context Protocol (MCP) server.
Edit images with simple text commands using AI.
Enables web searches using DuckDuckGo and integrates with Model Context Protocol (MCP) for advanced result exploration.
Enables Large Language Models to interact with and query Microsoft SQL Server databases.
Provides access to IETF RFC documents for Large Language Models via the Model Context Protocol.
Enables AI models to interact with PostgreSQL databases through a standardized Model Context Protocol interface.
Analyzes open-source projects and assists with codebase integration using Claude's AI capabilities.
Enables semantic analysis of chat conversations through vector embeddings and knowledge graphs.
Enables Large Language Models to interact with Dify AI's chat completion capabilities through a standardized protocol.
Enables AI models and applications to interact directly with the Twitter/X platform.
Generates both vector and raster images using EverArt's AI models, providing flexible storage and format conversion.
Integrates Vercel AI SDK with an MCP server to support OpenAI and Mistral LLM providers.
Provides LLM coding agents with vector search capabilities for software projects via the Message Control Protocol (MCP).
Enables Claude, and other Model Context Protocol (MCP) clients, to manage and access memories stored in a simple text file for enhanced context
Enables semantic search in Qdrant vector databases using OpenAI embeddings.
Enables large language models to interact with and utilize REST APIs by providing configured REST APIs as context.
Downloads websites and their assets for use with Retrieval-Augmented Generation (RAG) systems.
Enables querying and analysis of CloudZero cloud cost data within Large Language Models via the Model Context Protocol (MCP).
Demonstrates the MCP Server capabilities of GenAIScript, enabling communication with AI models using the Model Context Protocol.
Provides text-to-speech and speech-to-text capabilities using Windows' built-in speech services.
Facilitates a trivia game where AI models generate content and manage gameplay through the Model Context Protocol.