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MCP.tc Directory

One-click MCP server directory for Claude, Cursor & VS Code

2026-10-12

Product Introduction

  1. Overview: MCP.tc is a public directory and discovery platform for Model Context Protocol (MCP) servers. It functions as a centralized registry where developers can find, evaluate, and instantly integrate third-party MCP servers into compatible AI development environments like Anthropic's Claude Desktop, Cursor IDE, and VS Code with the Continue extension.
  2. Value: It eliminates the friction of manually finding, configuring, and connecting to MCP servers by providing standardized, one-click installation links and verified server metadata, dramatically accelerating the setup of AI-assisted development workflows.

Main Features

  1. Predictable, Guessable URLs: Every listed MCP server is accessible via a consistent, human-readable URL pattern (mcp.tc/i/{server-name}), such as mcp.tc/i/github or mcp.tc/i/notion. This simplifies discovery and sharing.
  2. One-Click Client Integration: The core feature is a dedicated connection page for each server that provides a single click or command to add the server directly to supported AI clients (Claude, Cursor, VS Code). This bypasses complex manual configuration of mcp.json files or server endpoints.
  3. Standardized Server Profiles: Each directory entry provides a clear, consistent overview of the server's purpose, its available tools (e.g., "3 tools"), authentication requirements (No sign-in, Sign-in, Local), verification status, and the maintaining entity, allowing for quick evaluation before integration.

Problems Solved

  1. Challenge: The fragmented and technical process of discovering and configuring MCP servers hinders adoption. Developers must search for servers, understand their endpoints, manage authentication, and correctly format client configuration files.
  2. Audience: AI developers, software engineers, and technical teams using AI coding assistants (Claude, Cursor) who want to extend their assistant's capabilities with tools for GitHub, databases, documentation, and other services.
  3. Scenario: A developer working in Cursor wants their AI assistant to interact with their Supabase project. Instead of searching for a Supabase MCP server, cloning a repo, and figuring out the config, they visit mcp.tc/i/supabase, see the tools and auth method, and click a button to connect it directly.

Unique Advantages

  1. Strengths & Limitations:
    • Pros: Drastically reduces setup time to seconds; provides a clean, trusted discovery layer; supports major AI clients; clarifies authentication models upfront; no account needed to browse.
    • Cons/Trade-offs: Directory dependent on community submissions; primarily a connector, not a host (for local/remote servers); limited to servers whose maintainers have submitted them.
  2. Alternatives & Differentiation:
    • vs. Manual GitHub/GitLab Search: MCP.tc provides structured, vetted metadata and direct client integration links, whereas searching code repositories yields unstructured results requiring manual configuration.
    • vs. Client-Specific Marketplaces: It is client-agnostic, serving Claude, Cursor, and VS Code from a single source, unlike platforms tied to one ecosystem.
    • Technical Edge: Its focus on the standardized mcp.tc/i/ address creates a memorable, shareable namespace for the MCP ecosystem, akin to a package registry for AI tools.

Frequently Asked Questions (FAQ)

  1. What is an MCP server? An MCP (Model Context Protocol) server is a standalone service that provides tools and data to AI assistants like Claude, allowing them to perform actions like querying a database, searching documentation, or managing cloud infrastructure through a standardized API.
  2. Is MCP.tc safe to use for servers requiring login? Yes. MCP.tc acts only as a directory and connection facilitator. For servers requiring OAuth or API keys (like GitHub), authentication happens directly between you and the service provider (e.g., api.githubcopilot.com); your credentials never pass through MCP.tc.
  3. How do I add a server from MCP.tc to my AI client? Navigate to the server's page (e.g., mcp.tc/i/github) and click the provided integration button for your specific client (Claude, Cursor, or VS Code). This will trigger your client to add the server configuration automatically.

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