Gateco MCP Server

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

Local serverstdio

What is the Gateco MCP Server?

Gateco is an MCP integration. Permission-aware retrieval for AI systems: policy-enforced access to organizational knowledge.

Packages and local setup

The published pypi package is gateco, version 1.13.0. Its declared MCP transport is stdio.

The package declares GATECO_API_KEY (required): Gateco API key WITH THE retrieve SCOPE (Settings > API Keys > Create, tick retrieve). Every plan. Six of seven tools run on it; gateco_check_access needs gateco login.; GATECO_BASE_URL: Gateco API base URL. Defaults to https://api.gateco.ai; set only for self-hosted or staging deployments..

This package has launch arguments in its registry record. Use the maintainer’s configuration for those arguments rather than launching it with only the package name.

Before connecting

Check the maintainer’s instructions for account access, authentication and the supported client configuration. Once connected, inspect the tools your client receives and try a small task that matches the server’s stated purpose. The registry description does not include a verified, complete tool list.

Project and source

View the publisher’s registry entry · Project repository · Project website. This profile uses version 1.13.0 from the registry. Registration identifies the publisher namespace; it does not establish that this is a first-party integration for every service it connects.

Browse related other integrations MCP servers for tools that cover the same kind of work.

Configuration

VariableDescriptionRequired
GATECO_API_KEYGateco API key WITH THE retrieve SCOPE (Settings > API Keys > Create, tick retrieve). Every plan. Six of seven tools run on it; gateco_check_access needs gateco login.Yes
GATECO_BASE_URLGateco API base URL. Defaults to https://api.gateco.ai; set only for self-hosted or staging deployments.Optional