Protocols & Interop
Shared interfaces that let agents, tools and models from different vendors work together — MCP, A2A and the OpenAI-compatible surface most runtimes now expose.
3 projects
The clearest way to understand the Model Context Protocol is to read servers that implement it correctly, and this is that collection. Useful both as working connectors and as the template to copy when writing your own.
The document every MCP client and server is measured against: a TypeScript schema published alongside a JSON Schema, plus the prose defining what a conforming implementation must do. Anthropic donated it to the Linux Foundation's Agentic AI Foundation in December 2025, and the licence is mid-transition — new code and specification text under Apache-2.0, documentation under CC-BY-4.0, and contributions whose authors have not consented to relicensing still MIT. Read it when an SDK's behaviour surprises you, but it is a document rather than a dependency: shipping anything still means picking one of the language SDKs.
A Rust data plane that sits between agents and everything they call — model providers, MCP servers, other agents — so authentication, RBAC, rate limits and OpenTelemetry export are configured once instead of reimplemented in every agent. Solo.io donated it to the Linux Foundation in August 2025 and it moved under the Agentic AI Foundation in June 2026, alongside MCP and goose. It is young for something that sits in the request path: per-user identity onto downstream MCP servers is still an open issue, so confirm the authentication model you need before putting it in front of production traffic.