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agentic-community/mcp-gateway-registry

MCP gateway and registry with OAuth

Before you install: no copy-paste command · no license recorded · site blocks automated checks

First step: git clone https://github.com/agentic-community/mcp-gateway-registry.git

View on GitHub ↗Link checked 2026-11-12 · automated check blocked (HTTP 429), status unconfirmed

We have neither an install command nor a public remote endpoint from this repository, so we do not print a config. A made-up one is worse than none. How each client wires MCP up →

Source
collected from the abordage/awesome-mcp list · type: MCP server
Harvest history
first seen 2026-11-05 · last seen 2026-11-14 · seen 10× · listed by 10 sources
Score
score 1,003 · 10 sources · mcp
FAQ (answers come from our records)
Who is it for?
We filed it under these tags: MCP 服务. The tags come from the entry itself, not a taxonomy we imposed.
Who maintains it?
first catalogued 2026-11-05;last seen 2026-11-14。There is no official certification or quality rating here — we record sources and dates only.

docs/overview/feature-release-highlights.md (top 3 mirrored here). Structure rat

以下摘录自该仓库的 README(片段) · 在 GitHub 读完整 README →

Unified Agent & MCP Server Registry – Gateway for AI Development Tools
Get Running Now | Docs | Executive Brief | Slide Deck | Demo Videos | AWS Workshop | Community
The MCP Gateway & Registry is a single, governed control plane for every AI asset in your organization, from MCP servers and AI agents to skills and any custom asset your teams build. It is open source, licensed under Apache 2.0, and runs on Kubernetes (Amazon EKS), fully managed serverless (Amazon ECS), or Docker Compose (Amazon EC2).
It began as a gateway and registry for the Model Context Protocol (MCP): one secure entry point to many MCP servers, with centralized discovery and governance. As teams started registering agents, skills, and other assets alongside their servers, it grew into a general-purpose AI asset registry on the same gateway, access-control, and audit model it started with.
## Why we built this
Without a control plane, every team wires its own MCP servers and agents by hand: separate credentials in every dotfile, no shared inventory, no audit trail, and no way to discover or govern what exists. Agents can't find other agents; servers and agents live in separate registries that can't share policy.
This platform replaces that with one governed entry point for every AI asset. Register a server, agent, skill, or custom entity once; discover it by natural-language search; reach it through a single authenticated gateway that enforces access and records every call. One control plane, one access model, one audit trail, across all asset types.
Onboard third-party OAuth MCP servers, the enterprise way. Because the gateway provides per-user egress authentication, you can connect OAuth-protected SaaS MCP servers such as Slack, Atlassian, and GitHub without every user setting up network access to those services or storing credentials on their laptop. Each user connects their account once; the gateway runs the OAuth (3LO) flow, vaults the per-user token in a secrets manager, and injects it on egress. That collapses onboarding to a single, auditable choke point, so a team can adopt a new SaaS MCP server across the enterprise without per-laptop plumbing or scattered long-lived tokens.
## How it works
The gateway is the data plane (a generic nginx reverse proxy: TLS, auth validation, routing to backends) and the registry is the control plane (a FastAPI service that owns the inventory, access model, and audit trail, and decides what the gateway may route to). An auth server integrates your identity provider (Keycloak, Entra ID, Okta, Auth0, Cognito, PingFederate) for OAuth2/OIDC, and MongoDB / DocumentDB stores configuration, embeddings, sessions, and audit records.
By default, the registry handles A2A discovery, authentication, and access control, and agents then communicate directly (peer-to-peer) rather than routing every call through the gateway. For the full design and its invariants, read the Theory of the System; for layered diagrams, see Architecture Diagrams.
## See it in action
Watch how MCP servers, A2A agents, and external registries work together for dynamic tool discovery:
https://github.com/user-attachments/assets/97c640db-f78b-4a6c-9662-894f975f66e2
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Source
awesome · https://github.com/agentic-community/mcp-gateway-registry
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