agentgateway vs grafbase
agentgateway: Agentgateway is an open-source proxy offering a complete connectivity solution for Agentic AI, built on AI-native protocols like MCP and A2A. It provides security, observability, and governance for agent-to-LLM, agent-to-tool, and agent-to-agent communication across various frameworks.; grafbase: Grafbase is a self-hosted, Rust-powered GraphQL Federation Gateway for high-scale, mission-critical applications. It unifies diverse data sources and microservices into a single, performant GraphQL API, offering enterprise-grade security and flexible deployment options.
Grafbase is a Rust GraphQL Federation v2 gateway that exposes a federated GraphQL API as an MCP server; AgentGateway is a Rust proxy specifically for routing, securing, and observing LLM, MCP, and A2A traffic.
TL;DR
- You want one proxy for LLM calls (OpenAI-compatible API with spend controls, failover and load balancing), MCP tools and A2A traffic.
- You need guardrails from several sources: regex, OpenAI moderation, AWS Bedrock Guardrails, Google Model Armor or webhooks.
- You need security and observability built in: JWT, API keys, OAuth, RBAC with a CEL policy engine, rate limiting, TLS and OpenTelemetry.
- You only need to bridge one MCP transport: a small proxy is simpler.
- You want the inference-routing features without Kubernetes: the README ties them to Kubernetes Inference Gateway extensions.
- You want detailed setup instructions in the README: it is short and points to the documentation site.
- You want a high-performance Rust Apollo Federation v2 GraphQL gateway that can expose your federated graph directly as an MCP server.
- You want to unify GraphQL subgraphs, REST, gRPC, Postgres, and Kafka using WebAssembly extensions in a self-hosted gateway.
- You do not use GraphQL and just want a proxy/gateway in front of existing MCP servers; use MCP Gateways like AgentGateway or MetaMCP.
- You want to write custom MCP tools in Python; use FastMCP or the MCP Python SDK.
Side-by-Side Comparison
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