916 reviewed MCP servers in this category · page 1 of 16 · all categories
AI-service MCP servers chain other models into your assistant: text-to-speech, image and video generation, and access to thousands of hosted models. They turn a chat assistant into a small production pipeline — write the script, generate the voiceover, produce the artwork — without leaving the conversation.
Build a programmable telecommunications stack for connecting telephony services with the Internet via a cloud-based utility.
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.
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.
Thousands of open models on tap — run image, video and audio generation through Replicate's hosted API.
Enables AI agents and LLMs to interact with the web and extract information from web pages via the RAG Web Browser Actor.
Simplifies the process of integrating Anthropic's Model Context Protocol (MCP) into Claude Desktop and Cursor for enhanced functionality.
Generates images from text prompts using the Replicate API, designed for use with MCP clients like Cursor.
Enables seamless access to OpenAI models directly within the Claude Desktop application.
Enables natural language querying of PostgreSQL databases using Ollama's LLM and the Model Context Protocol.
Automates resume updates by analyzing coding projects using AI.
Demonstrates implementation and usage of Anthropic's Model Context Protocol (MCP) with AWS Bedrock.
Provides a command-line and API-based coding assistant utilizing OpenAI APIs, function calling, and streaming.
Augment AI responses with context by retrieving and processing documentation through vector search.
Integrates Flux's image generation capabilities into AI coding assistants, enabling image generation, manipulation, and control directly within IDEs.
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.
Analyzes open-source projects and assists with codebase integration using Claude's AI capabilities.
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.
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 seamless integration between local Ollama LLM instances and MCP-compatible applications for advanced task management.
Downloads websites and their assets for use with Retrieval-Augmented Generation (RAG) systems.
Provides text-to-speech and speech-to-text capabilities using Windows' built-in speech services.
Enables Claude or any LLM to fetch content from URLs.
Enables data visualization within LLM workflows using Vega-Lite specifications.
Enables interaction with the Freepik API for accessing stock photos, vectors, PSDs, and Mystic AI image generation.
Facilitates interaction with OpenAI, Anthropic, and EnrichB2B services using the Model Context Protocol.
Generates images from text prompts using the Black Forest Lab's FLUX model.
Enables AI assistants to generate images through the OpenAI DALL-E API with fine-grained control.
MCP server for 4o-image API integration - Generate images using text prompts and edit existing images
A2ABench is an agent-native developer Q&A service: a StackOverflow-style API with MCP tooling and A2A runtime endpoints for deep research and
appbuilder-sdk, 千帆AppBuilder-SDK帮助开发者灵活、快速的搭建AI原生应用
A [Model Context Protocol (MCP)](https://www.anthropic.com/news/model-context-protocol) server that enables searching and retrieving academic paper
A Model Context Protocol (MCP) server that exposes the [APLCart](https://aplcart.info) idiom collection with semantic search capabilities. APLCart is
ADB Friend is a tiny cli tool, which helps you to manage your Android device via ADB. Its features were mostly designed for developers, but it can be
This MCP server enables natural language control of anaerobic digestion modeling through the internationally recognized Anaerobic Digestion Model No.
Advanced TTS MCP Server - High-quality neural voice synthesis with enhanced features and streaming capabilities
Elite Obsidian RAG System - Second Brain with Claude Code Integration
afya-mcp
🤖 Build powerful AI agents with TypeScript. Agenite makes it easy to create, compose, and control AI agents with first-class support for tools
Validate and verify data from other agents before acting on it. Zero LLM costs.
The WAF for agents. Pattern-based + heuristic firewall scans prompts, RAG documents, tool argume...
Agent configuration loader and normalizer for AI/LLM applications
Security scanner for AI agent tooling — MCP servers, tool definitions, and agentic pipelines
Structured-output enforcer: extract and validate JSON from messy LLM text.
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Workspace-scoped **MCP tools** for building Cursor-style agents: **read_file**, **write_file**, **edit_file**, **run_command**, **list_files**.
Character-consistent UGC video, images, and captions from any MCP client, via the AgentHook API.
This project is a chat assistant application that integrates MCP client (MCP host) with an LLM (Large Language Model) and external tools (MCP
MCP server that wraps OpenAI Codex CLI and exposes MCP API
A standalone agent runner that executes tasks using MCP (Model Context Protocol) tools via Anthropic Claude, AWS BedRock and OpenAI APIs. It enables
Giving AI assistants like **Claude, Cursor, and Windsurf** access to your codebase and the web is a superpower. But passing sensitive enterprise data
Connect to any function, any language, across network boundaries using AgentRPC.
The OpenAI Agents SDK is a lightweight yet powerful framework for building multi-agent workflows.
LLM-ready web search + instant answers + URL-to-clean-text fetch for agents and RAG.