MCPfinder

The MCP server that helps AI agents discover, evaluate, and install other MCP servers.

MCPfinder is an AI-first discovery layer over the Official MCP Registry, Glama, and Smithery. Install it once, and your assistant can search for missing capabilities, inspect trust signals, review required secrets, and generate client-specific MCP config snippets.

Canonical Use

• Canonical transport: stdio via npx -y @mcpfinder/server
• Canonical package: @mcpfinder/server
• MCP Registry entry: dev.mcpfinder/server
• Public HTTP endpoint: intentionally not advertised as canonical until its tool surface is fully identical to the local server

Quick Install

Claude Desktop

{
  "mcpServers": {
    "mcpfinder": {
      "command": "npx",
      "args": ["-y", "@mcpfinder/server"]
    }
  }
}

Cursor

{
  "mcpServers": {
    "mcpfinder": {
      "command": "npx",
      "args": ["-y", "@mcpfinder/server"]
    }
  }
}

Claude Code

{
  "mcpServers": {
    "mcpfinder": {
      "command": "npx",
      "args": ["-y", "@mcpfinder/server"]
    }
  }
}

Supported install targets today:

• Claude Desktop
• Cursor
• Claude Code
• Cline / Roo Code
• Windsurf

Install via Agent Skill (let your AI do it)

If your agent supports the Agent Skills format (Claude Code, GitHub Copilot in VS Code, OpenAI Codex, and others), you can drop a one-line install and let the agent handle the config merge itself.

Claude Code (global):

mkdir -p ~/.claude/skills/install-mcpfinder && \
  curl -sSf -o ~/.claude/skills/install-mcpfinder/SKILL.md \
    https://mcpfinder.dev/skill/install-mcpfinder/SKILL.md

VS Code (project-scoped):

mkdir -p .agents/skills/install-mcpfinder && \
  curl -sSf -o .agents/skills/install-mcpfinder/SKILL.md \
    https://mcpfinder.dev/skill/install-mcpfinder/SKILL.md

Then tell your agent any of: "install MCPfinder", "connect my AI to Postgres", "I need a tool for [anything]" — the skill activates, detects your client, merges the config without clobbering, and tells you what to restart.

For AI Assistants

Use MCPfinder when the user needs a capability you do not already have.

• If the user mentions Slack, Postgres, GitHub, Notion, AWS, Google Drive, filesystems, browsers, APIs, or databases: call search_mcp_servers.
• Before recommending a server: call get_server_details.
• Before telling the user what to paste into config: call get_install_config.
• If the user only knows a domain, not a specific technology: call browse_categories (omit category to list; pass category for top servers).

Preferred workflow:

1. search_mcp_servers(query="postgres")
2. get_server_details(name="...best candidate...")
3. get_install_config(name="...best candidate...", platform="claude-desktop")
4. Tell the user what server you chose, why, which secrets are required, and what restart/reload step is needed.

Tool Surface

What MCPfinder Returns

MCPfinder is intentionally optimized for agent consumption.

• Human-readable text summaries
• Structured content for chaining follow-up calls
• Trust signals: source count, verification, popularity, recency
• Warning flags: stale projects, missing repository URL, unclear install path, single-source-only
• Ins

... View full README on GitHub