LibreAI / AI Agents / mcp-gateway-registry
// agents · agentic-community/mcp-gateway-registry

mcp-gateway-registry

An enterprise MCP gateway: governed, auditable tool access for agents.

★ 964 stars⑂ 243 forksApache-2.0updated 2026-10
▦ visual — this project's README ships no embeddable screenshot,
so here's a placeholder. The guide below is complete regardless.
// project facts

Project facts

mcp-gateway-registry is an open-source ai agents project by agentic-community (agentic-community/mcp-gateway-registry on GitHub). It has 964 GitHub stars and 243 forks, is released under the Apache-2.0 license, and was last updated on GitHub on 6 October 2026.

GitHub stars
964
Forks
243
License
Apache-2.0
Last updated on GitHub
6 October 2026
Category
AI Agents
Listing
Full install guide
Official site
Official site
// how it works

How it works

  1. Pick a use case

    Choose one concrete task — narrow beats ambitious for a first run.

  2. Clone and explore

    Fetch the source and skim the docs folder.

  3. Configure credentials

    Set the environment variables or keys the project needs.

  4. Launch your first run

    Execute the example workflow and watch what happens.

// features

Why people love it

Centralized registry

One catalog for every MCP server.

OAuth security

Authenticated tool access by default.

Dynamic discovery

Agents find tools without hardcoding.

Keycloak/Entra SSO

Enterprise identity, integrated.

Audit trails

Know who used what, when.

Unified agent access

One front door for agents and assistants.

Advertisement
// run it

Run it yourself

  1. Step 1 — Clone the repo

    Download the source and move into the project folder.

    git clone https://github.com/agentic-community/mcp-gateway-registry.git
    cd mcp-gateway-registry
  2. Step 2 — Create a venv and install

    Isolate dependencies, then install requirements.

    python -m venv .venv && source .venv/bin/activate
    pip install -r requirements.txt
  3. Step 3 — Run it

    Launch using the entry point shown in the README.

    python -m mcp_gateway_registry  # check README for the exact command
// use cases

What you can build

Advertisement
// faq

Questions, answered

Who maintains mcp-gateway-registry?

It is an open-source project at agentic-community/mcp-gateway-registry with 243 forks. Check the contributors tab and recent commits to judge how active maintenance is.

Is mcp-gateway-registry free to use?

Yes — Apache 2.0 allows commercial use and modification. Keep the license and notice files, and note it includes a patent grant.

Why a gateway for MCP?

MCP servers multiply fast; a gateway centralizes discovery, auth, and audit so tool access stays governed.

Which identity providers?

Keycloak and Entra ID are named; the docs cover the full list.

How do I get started?

Clone the repo and follow the README quickstart — the docs at https://agentic-community.github.io/mcp-gateway-registry/ walk through setup.

// keep exploring

Similar tools

AI Agents

open-connector

An open-source auth gateway connecting 1,500+ SaaS providers to AI agents via SDK, CLI, MCP and HTTP.

★ 6.0k starsApache-2.0
View guide →
AI Agents

mcp-toolbox

Google's MCP Toolbox for Databases - give agents safe, structured access to your data

★ 16.6k starsApache-2.0
View guide →
AI Agents

archestra

Archestra: the enterprise AI platform — chat UI, LLM gateway, and MCP gateway with guardrails

★ 4.4k starsNOASSERTION
View guide →
AI Agents

bifrost

A blazing-fast enterprise AI gateway: 1000+ models, sub-100µs overhead.

★ 8.6k starsApache-2.0
View guide →
AI Agents

metamcp

MCP aggregator, orchestrator, middleware and gateway in one Docker — compose many servers into one endpoint

★ 2.7k starsMIT
View guide →
AI Agents

iwe

A markdown knowledge graph with LSP for editors and MCP for agents.

★ 1.7k starsApache-2.0
View guide →
// alternatives

Alternatives in AI Agents

The most-starred other AI Agents projects in the LibreAI catalogue — the realistic shortlist if mcp-gateway-registry is not the right fit.

Get mcp-gateway-registry

Free and open — grab the source, star the repo, and start creating.