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agentgateway

by agentgateway4.7kRustUpdated 2026-09-01

Next Generation Agentic Proxy for AI Agents and MCP servers

Agentgateway is an open-source proxy server built on AI-native protocols including MCP (Model Context Protocol) that provides connectivity infrastructure for agentic AI systems. It functions as a unified gateway handling agent-to-LLM, agent-to-tool, and agent-to-agent communication with built-in security, observability, and governance features. The platform supports multiple protocols including MCP and A2A, offering tool federation, multiple transport options (stdio, HTTP, SSE), and integration with major LLM providers through an OpenAI-compatible API.

Key Features

MCP Gateway supporting tool federation with stdio, HTTP, SSE, and Streamable HTTP transports
Unified LLM routing to OpenAI, Anthropic, Gemini, Bedrock and other providers via OpenAI-compatible API
A2A Gateway enabling secure agent-to-agent communication with capability discovery
Multi-layered guardrails including regex, OpenAI moderation, AWS Bedrock Guardrails, and Google Model Armor
Fine-grained RBAC with CEL policy engine, JWT/API key/OAuth authentication, and rate limiting
Intelligent inference routing based on GPU utilization, KV cache, LoRA adapters, and queue depth
OpenTelemetry integration for comprehensive metrics, logs, and distributed tracing
Built-in web UI for exploring agent-to-agent and agent-to-tool connections

Use Cases

  • 01Routing AI agent requests to multiple LLM providers with automatic failover and load balancing
  • 02Connecting language models to external tools and data sources via MCP protocol
  • 03Implementing content filtering and safety guardrails across agent interactions
  • 04Monitoring and observing agent-to-tool communication with detailed telemetry
  • 05Enabling secure communication between multiple AI agents using A2A protocol
  • 06Managing budget controls and spend limits across LLM API usage

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agentgateway — FAQ

What is agentgateway MCP server?+

Agentgateway is a proxy server that implements the Model Context Protocol (MCP) to provide connectivity between AI agents, LLMs, and external tools. It acts as a gateway offering security, observability, and governance for agentic AI systems across multiple protocols including MCP and A2A.

How do I install agentgateway?+

Agentgateway can be deployed standalone using YAML configuration files or on Kubernetes using the built-in controller and Gateway API. For standalone deployment, follow the quickstart guide at agentgateway.dev/docs/standalone/latest/quickstart to get started in minutes.

Which AI clients work with agentgateway?+

Agentgateway works with any client that supports MCP protocol or the OpenAI-compatible API format. It can route requests to major LLM providers including OpenAI, Anthropic, Gemini, and AWS Bedrock.

Do I need API keys to use agentgateway?+

You'll need API keys for the specific LLM providers you want to route traffic to (OpenAI, Anthropic, etc.). Agentgateway itself supports multiple authentication methods including JWT, API keys, and OAuth for securing access to the gateway.

Is agentgateway free and open source?+

Yes, agentgateway is open source and licensed under Apache 2.0. It's a Linux Foundation project and available for free on GitHub.

What transport protocols does the MCP Gateway support?+

The MCP Gateway in agentgateway supports stdio, HTTP, SSE (Server-Sent Events), and Streamable HTTP transports. It also includes OpenAPI integration and OAuth authentication for connecting to external tools.

How do I install agentgateway?+

Open the source repository on GitHub and follow its README. agentgateway is a mcp server — MCP Agents Market links you directly to the official repo.

Is agentgateway free?+

agentgateway is an open-source project hosted on GitHub. Check the repository for its license and any usage requirements.

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