Agenlify MCP

The Agenlify MCP server provides read-only access to a public catalog of AI tools and task guides. It allows AI assistants to search for products by task or name, retrieve detailed product information including setup steps and pricing, and discover supported task IDs. The server is stateless, does not require authentication, and serves as a discovery layer for finding and comparing AI agents.

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Endpoint and access

No sign-in to connect and list tools. Individual tools may still need a vendor account, credentials, or permissions; check the documented prerequisites.

No sign-inEndpoint checked 2026-10-26Operated by Agenlify

You need:No Agenlify account or API key is required.Add a remote MCP server in a client that supports Streamable HTTP.

MCP endpoint (Streamable HTTP)

https://agenlify.ai/mcp

Vendor documentation

What you can do with it

Find AI tools by task or product name
Retrieve product setup steps and pricing context
Discover supported task IDs and checklists

Tools advertised by the last live check:

search_agents
get_agent
list_tasks

Connect from your client

Each snippet registers the same endpoint; pick the client you use.

This server is operated by the named third party. Listing and endpoint checks are not an endorsement or a security audit. Review the operator's permissions, terms, and data handling before connecting. How listings are checked and corrected.

Claude Code

Run this once in a terminal. It registers a Streamable HTTP server. Use --scope project to write .mcp.json for the repo.

Claude Code configuration

claude mcp add --transport http agenlify-mcp https://agenlify.ai/mcp

Codex

Run this once. Codex stores MCP servers in ~/.codex/config.toml (or .codex/config.toml in a trusted project).

Codex configuration

codex mcp add agenlify-mcp --url https://agenlify.ai/mcp

Cursor

Merge this server into .cursor/mcp.json in your project, then enable agenlify-mcp in your MCP settings.

Cursor configuration

{
  "mcpServers": {
    "agenlify-mcp": {
      "url": "https://agenlify.ai/mcp"
    }
  }
}

Cline

Merge this into cline_mcp_settings.json (Cline → MCP Servers → Configure). The type must be streamableHttp for a remote HTTP server.

Cline configuration

{
  "mcpServers": {
    "agenlify-mcp": {
      "type": "streamableHttp",
      "url": "https://agenlify.ai/mcp",
      "disabled": false
    }
  }
}

VS Code

Merge this server into .vscode/mcp.json. Use MCP: List Servers to start agenlify-mcp and inspect its tools.

VS Code configuration

{
  "servers": {
    "agenlify-mcp": {
      "type": "http",
      "url": "https://agenlify.ai/mcp"
    }
  }
}

Gemini CLI

Run this once. It writes .gemini/settings.json in the current project; pass --scope user for ~/.gemini/settings.json.

Gemini CLI configuration

gemini mcp add --transport http agenlify-mcp https://agenlify.ai/mcp

Claude Desktop

Merge this into claude_desktop_config.json (macOS: ~/Library/Application Support/Claude/, Windows: %APPDATA%\Claude\), then restart Claude Desktop.

Claude Desktop configuration

{
  "mcpServers": {
    "agenlify-mcp": {
      "url": "https://agenlify.ai/mcp"
    }
  }
}

Windsurf

Merge this into ~/.codeium/windsurf/mcp_config.json, then refresh MCP in Cascade. Windsurf remote servers use serverUrl, not url.

Windsurf configuration

{
  "mcpServers": {
    "agenlify-mcp": {
      "serverUrl": "https://agenlify.ai/mcp"
    }
  }
}

Let your agent find its tools

Find servers like Agenlify MCP from your agent. Add Koskamo once to search the index for endpoints, access requirements, and client setup. Public discovery needs no key.

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