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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Mnemom

# Mnemom — Trust Ratings for AI Agents (MCP server) Canonical home for the **Mnemom** Model Context Protocol (MCP) server — trust infrastructure for…

Easy Predict

easy-predict is an MCP server that gives your AI agent two tools: predict_timeseries — forecast the next value in any numeric series using automatic…

Human Design (gethumandesign)

# Human Design MCP Server A remote MCP server by [GetHumanDesign.com](https://www.gethumandesign.com) that lets AI assistants calculate Human Design bodygraph charts, explore your type, profile…

Remnus

## Remnus Remnus is an MCP-native, open-source Notion alternative: a workspace of pages and customizable databases (table, kanban, and calendar views) with a remote…

Gp Intel

# GP Intel MCP Server **Verified European private equity ownership data, queryable from any AI assistant.** Ask Claude, ChatGPT or Cursor who owns a…

Stackql

## StackQL MCP Server StackQL is an open-source, SQL-native query and provisioning engine for cloud and SaaS infrastructure. The MCP server exposes StackQL's provider…

Wundervault MCP

Security Model Zero-knowledge: The encryption key lives only in the MCP server process. The Wundervault server never sees it. Burn-after-reading: Plaintext secrets are never…

flatten-mcp

# flatten-mcp > Resume the **exact same conversation** at a lower token cost — without compacting it into a lossy summary. **flatten-mcp** is a…

Channel3 Product Search

## Channel3 Product Search Give your AI agent real-time product search across 100M+ products from thousands of retailers. Channel3 returns live offers with current…

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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.