rafapra3008/cervellaswarm
by Various
Lingua Universale -- a verification language for AI agent protocols. Like mypy for multi-agent communication. 3696 tests, zero deps.
MCP
rafapra3008/cervellaswarm
Added 1 June 2026
Overview
A verification language for AI agent protocols similar to how mypy works for Python. It uses 3696 tests to check multi-agent communication with zero external dependencies.
Best for
Best for
Developers constructing custom multi-agent systems that need strict protocol verification
Use cases
- Verify communication protocols between autonomous AI agents
- Ensure type safety in multi-agent message exchanges
- Test agent interactions without runtime overhead
How to use
Install
pip install cervellaswarm-lingua-universale Tools exposed
lu
Tested with
Claude Code, VS Code
Notes
A verification language for AI agent protocols similar to how mypy works for Python. It uses 3696 tests to check multi-agent communication with zero external dependencies.
8 stars on GitHub. Last updated 2026-05-27. Licensed Apache-2.0.
Use cases
- Verify communication protocols between autonomous AI agents
- Ensure type safety in multi-agent message exchanges
- Test agent interactions without runtime overhead
Pros
- Extensive test suite (3696 tests) provides high verification coverage
- Zero dependencies keeps the tool lightweight and easy to integrate
- Focused specifically on multi-agent protocol correctness
Cons
- Very low community adoption (8 GitHub stars) suggests limited real-world use
- Lack of integrations with popular agent frameworks may require custom setup
- Documentation and examples likely minimal given the early stage
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Extensive test suite (3696 tests) provides high verification coverage
- Zero dependencies keeps the tool lightweight and easy to integrate
- Focused specifically on multi-agent protocol correctness
Cons
- Very low community adoption (8 GitHub stars) suggests limited real-world use
- Lack of integrations with popular agent frameworks may require custom setup
- Documentation and examples likely minimal given the early stage
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