A
agentgateway/agentgateway
Proxy in front of AI agents and MCP servers
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.
The first complete connectivity solution for Agentic AI.
以下摘录自该仓库的 README（片段） · 在 GitHub 读完整 README →
Agentgateway is an open source proxy built on AI-native protocols (MCP & A2A) that provides drop-in security, observability, and governance for agent-to-LLM, agent-to-tool, and agent-to-agent communication across any framework and environment.
## Intro to Agentgateway Video
## Key Features
LLM Gateway
Route traffic to major LLM providers (OpenAI, Anthropic, Gemini, Bedrock, and more) through a unified OpenAI-compatible API with budget and spend controls, prompt enrichment, load balancing, and failover.
MCP Gateway
Connect LLMs to tools and external data sources via MCP with tool federation, stdio/HTTP/SSE/Streamable HTTP transports, OpenAPI integration, and OAuth authentication.
A2A Gateway
Enable secure agent-to-agent communication using A2A, with capability discovery, modality negotiation, and task collaboration.
Inference Routing
Intelligent routing to self-hosted models using Kubernetes Inference Gateway extensions, with decisions based on GPU utilization, KV cache, LoRA adapters, and queue depth.
Guardrails
Multi-layered content filtering with regex, OpenAI moderation, AWS Bedrock Guardrails, Google Model Armor, and custom webhooks.
Security & Observability
Auth (JWT, API keys, OAuth), fine-grained RBAC with CEL policy engine, rate limiting, TLS, and OpenTelemetry metrics/logs/tracing.
## Getting Started
Standalone Quickstart — Get started with agentgateway in minutes.
Kubernetes Quickstart — Deploy on Kubernetes using the built-in controller and Gateway API.
## Documentation
Depending on your deployment environment, check out the following docs:
agentgateway.dev/docs: For deployments without the full Kubernetes controller, driven by flat yaml config.
agentgateway.dev/docs/kubernetes/latest: For Kubernetes-based deployments using the built-in Kubernetes controller and Gateway API support.
Agentgateway has a built-in UI for you to explore agentgateway connecting agent-to-agent or agent-to-tool:
## Sponsors
Thank you to our sponsors for helping to fund the development of agentgateway!
## Contributing
For instructions on how to contribute to the agentgateway project, see the CONTRIBUTION.md file.
## Community Meetings
To join a community meeting, add the agentgateway calendar to your Google account. Then, you can find event details on the calendar.
## Intro to Agentgateway Video
## Key Features
LLM Gateway
Route traffic to major LLM providers (OpenAI, Anthropic, Gemini, Bedrock, and more) through a unified OpenAI-compatible API with budget and spend controls, prompt enrichment, load balancing, and failover.
MCP Gateway
Connect LLMs to tools and external data sources via MCP with tool federation, stdio/HTTP/SSE/Streamable HTTP transports, OpenAPI integration, and OAuth authentication.
A2A Gateway
Enable secure agent-to-agent communication using A2A, with capability discovery, modality negotiation, and task collaboration.
Inference Routing
Intelligent routing to self-hosted models using Kubernetes Inference Gateway extensions, with decisions based on GPU utilization, KV cache, LoRA adapters, and queue depth.
Guardrails
Multi-layered content filtering with regex, OpenAI moderation, AWS Bedrock Guardrails, Google Model Armor, and custom webhooks.
Security & Observability
Auth (JWT, API keys, OAuth), fine-grained RBAC with CEL policy engine, rate limiting, TLS, and OpenTelemetry metrics/logs/tracing.
## Getting Started
Standalone Quickstart — Get started with agentgateway in minutes.
Kubernetes Quickstart — Deploy on Kubernetes using the built-in controller and Gateway API.
## Documentation
Depending on your deployment environment, check out the following docs:
agentgateway.dev/docs: For deployments without the full Kubernetes controller, driven by flat yaml config.
agentgateway.dev/docs/kubernetes/latest: For Kubernetes-based deployments using the built-in Kubernetes controller and Gateway API support.
Agentgateway has a built-in UI for you to explore agentgateway connecting agent-to-agent or agent-to-tool:
## Sponsors
Thank you to our sponsors for helping to fund the development of agentgateway!
## Contributing
For instructions on how to contribute to the agentgateway project, see the CONTRIBUTION.md file.
## Community Meetings
To join a community meeting, add the agentgateway calendar to your Google account. Then, you can find event details on the calendar.
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