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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2703 servers · Page 15 of 226

HEYM

## What is Heym? Heym is a self-hosted, source-available AI workflow automation platform built around LLMs, agents, and intelligent tooling. Wire together AI agents…

Dmap Ai Mcp Server

# DMAP-AI MCP Server DMAP-AI MCP Server is a remote Model Context Protocol server for drought monitoring and SPI drought analysis from AgriMetSoft LLC.…

Everalice Ai

Everalice Ai is a hosted streamable-http MCP server designed for Etsy sellers, digital product creators, and print-on-demand shops.

Dealboard

# Dealboard MCP Server Dealboard is the simple deal tracker for salespeople, BD teams, founders, and small teams who want to track every deal…

Graph Context

# Graph Context **MCP server for intelligent code context — 87%+ token savings, zero resource overhead.** An MCP context engine built on AST call…

GMGN Skills

## GMGN Agent Skills With GMGN Agent Skills, you can use AI agents to query real-time trending token rankings across multiple chains, token fundamentals…

Ghl Command

# GHL Command — Feedback & Requests This is the public feedback tracker for **GHL Command** ([`@elitedcs/ghl-mcp`](https://www.npmjs.com/package/@elitedcs/ghl-mcp)), the GoHighLevel MCP server for Claude. Product…

Hatchet MCP

MCP server for Hatchet — let AI agents observe and operate your workflows: runs, logs, workers, metrics, plus trigger/cancel/replay. Single-token setup, npx-installable.

Mailtani

# Mailtani MCP Server > Manage your email marketing directly from Claude, Cursor, or any MCP-compatible AI agent. The Mailtani MCP server exposes your…

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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.