servers/ ai-agents/ gateco
Gateco icon

Gateco

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Permission-aware retrieval for AI systems: policy-enforced access to organizational knowledge.

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Overview Installation

Overview

Gateco is a Model Context Protocol (MCP) server: Permission-aware retrieval for AI systems: policy-enforced access to organizational knowledge. As an MCP server it plugs straight into AI assistants, exposing its functionality as tools the model can invoke on your behalf.

It runs locally: the Python package gateco (via uvx) speaks MCP over stdio on your machine. Configuration happens through environment variables — you'll need GATECO_API_KEY. The current release is v1.8.1, published under the MIT license, with source at fortisil/gateco-sdk-python on GitHub.

You'll find Gateco in the AI & Agents category here on mcp.site; it connects to Claude Desktop, Claude Code, Cursor, VS Code, Windsurf, Zed, and any other MCP client — see the install snippets below. If you maintain Gateco for gateco.ai, claim this listing to verify ownership, earn the Verified badge, and keep the details current.

PyPI package — gateco · MCP over stdio
Credentials — Requires GATECO_API_KEY
Open source — MIT license · fortisil/gateco-sdk-python

Installation

// claude_desktop_config.json
{
  "mcpServers": {
    "gateco": {
      "command": "uvx",
      "args": [
        "gateco"
      ],
      "env": {
        "GATECO_API_KEY": "<gateco-api-key>"
      }
    }
  }
}

Requires GATECO_API_KEY

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