MCP Servers

Find MCP servers that connect AI assistants to useful tools and data. Explore what each server does, its setup and its documentation.

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Stability AI MCP Server

Stability AI MCP Server Haven't heard about MCP yet? The easiest way to keep up-to-date is to read our [weekly newsletter at PulseMCP](https://www.pulsemcp.com/). ---…

Pepys

Thin stdio MCP connector for the Pepys transcription API. npx pepys-mcp – give Claude, ChatGPT, or Cursor audio/video transcription: diarization… 9 tools, with

deepidv

Deepidv MCP is an MCP server that exposes the deepidv AI-powered verification engine’s operations as structured tools for MCP-compatible clients.

Propzapi Skills

Propzapi is an image and screenshot API for developers and AI agents. Send a template id and your data; it renders your HTML/CSS to…

Engram

Self-hosted MCP server + dashboard giving Claude Code, Cursor & Hermes agents shared long-term memory over a git-backed markdown vault.

Wigolo

The go-to web for your AI coding agent — local-first search, fetch, crawl & research over MCP. No API keys, no cloud, $0/query. Public…

MCP Discovery

# MCP Discovery A command-line tool written in Rust for discovering and documenting MCP Server capabilities. It supports outputting the results in the terminal…

Django Orm Lens

Live sidebar, ER diagrams, CLI, and MCP server for Django models. VS Code + PyPI + MCP Registry + Glama. Zero-dep parser, no DB…

Fahali

Read-only market-intelligence tools over the Model Context Protocol — market verdict, portfolio risk, contagion map, capital flow.

duckduckgo-search MCP Server

# duckduckgo-search MCP Server English | [中文](README_zh.md) A Model Context Protocol server for DuckDuckGo Search This is a TypeScript-based MCP server that provides DuckDuckGo…

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MCP Servers FAQ

What is an MCP server?

An MCP server exposes tools or data through the Model Context Protocol so a compatible AI client can use them. Each project has its own installation, authentication and permission requirements.

How do I install an MCP server?

Open a server’s page for its getting-started notes, compatibility and sources, then follow the original project’s documentation for your AI client.

What should I check before installing one?

Entries link to the original documentation. Check access requirements, costs and maintenance there before installing, and grant a server only the access it needs.