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ProtocolReferenceMCP

corpusos

by Corpus-OS

A reference protocol for interoperable LLM, vector, graph, and embedding infrastructure

Python
Updated May 8, 2026
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Summary

Define and enforce a single protocol for LLMs, vectors, graphs, and embeddings across different agent frameworks. Implements a conformance-tested specification that lets LangChain, LlamaIndex, AutoGen, CrewAI and others interoperate without custom adapters MCP protocol. Ships with 3,330+ conformance tests to verify provider- and framework-neutral behavior. This standard enables cross-framework interoperability via the Tool Use Pattern.

Why It Matters

As agents and tooling multiply, inconsistent data shapes and APIs break orchestration and make agent-to-agent trust brittle. A shared protocol makes agent interactions auditable and comparable, so reputation and evaluation systems can rely on consistent signals. Until protocols like this exist, engineering teams spend most effort building brittle adapters instead of measuring agent track record and reliability Evaluation-Driven Development (EDDOps).

When to Use

Teams building multi-framework agent systems who need a standard contract to enable cross-stack interoperability and reliable evaluation. This aligns with the Open Agent Specification (Agent Spec) for broad compatibility across tools and runtimes Open Agent Specification (Agent Spec).

Use Cases

  • Standardize data and API shapes so multiple agent frameworks can interoperate without custom adapters
  • Enable consistent logging and metrics for agent interaction logging and reputation calculations
  • Run conformance tests to verify providers and SDKs adhere to a single agent protocol contract
Works With
langchainautogencrewaiopenaianthropic
Topics
agentsai-agentsai-infrastructureanthropicautogenchatgptcrewaienterprisegeminiknowledge-graph+10 more
Similar Tools
autogenlangchain
Keywords
multi-agent trustagent-to-agent evaluationagent track recordmcp