Lingua Universale MCP Server
Verify AI agent communication with session types and formal proofs
Install
Add this to your client's MCP configuration (Claude Desktop: claude_desktop_config.json; Cursor: .cursor/mcp.json; VS Code and others use the same "mcpServers" shape).
lu-mcp-serverclaude mcp add lingua-universale-mcp-server -- uvx lu-mcp-server==0.1.1
{
"mcpServers": {
"lingua-universale-mcp-server": {
"command": "uvx",
"args": [
"lu-mcp-server==0.1.1"
]
}
}
}
Documentation
From the project's README on GitHub, refreshed weekly. Links open on GitHub.
Contents
Lingua Universale
A language for verified AI agent protocols.
**Try it in your browser** -- no install needed. **Watch AI agents live** -- 3 agents on a verified protocol.
The Problem
Your AI agents talk to each other, but nothing guarantees they follow the rules. Wrong sender, wrong message order, missing steps -- and you only find out in production.
Lingua Universale (LU) is a type checker for AI agent conversations. You define the protocol, LU proves it's correct, and the runtime enforces it.
from cervellaswarm_lingua_universale import Protocol, ProtocolStep, MessageKind, SessionChecker, TaskRequest
# Define: who sends what, to whom, in what order
review = Protocol(name="Review", roles=("dev", "reviewer"), elements=(
ProtocolStep(sender="dev", receiver="reviewer", message_kind=MessageKind.TASK_REQUEST),
ProtocolStep(sender="reviewer", receiver="dev", message_kind=MessageKind.TASK_RESULT),
))
checker = SessionChecker(review)
checker.send("dev", "reviewer", TaskRequest(task_id="1", description="Review auth")) # OK
checker.send("dev", "reviewer", TaskRequest(task_id="2", description="Oops")) # ProtocolViolation!
# ^^^ wrong turn: reviewer must send next
The protocol says reviewer goes next. The runtime blocks it. Not because you trust the code -- because the session type makes it impossible.
Install
pip install cervellaswarm-lingua-universale
Or try it first: **Playground** (runs in your browser via Pyodide).
Write a Protocol
protocol DelegateTask:
roles: supervisor, worker, validator
supervisor asks worker to execute analysis
worker returns result to supervisor
supervisor asks validator to verify result
when validator decides:
pass:
validator returns approval to supervisor
fail:
validator sends feedback to supervisor
properties:
always terminates
no deadlock
no deletion
all roles participate
Then verify it:
lu verify delegate_task.lu
[1/4] always_terminates ... PROVED
[2/4] no_deadlock ... PROVED
[3/4] no_deletion ... PROVED
[4/4] all_roles_participate ... PROVED
All 4 properties PASSED.
Mathematical proof. Not a test that passes today and fails tomorrow.
What You Get
| Feature | Description |
|---|---|
| Full compiler | Tokenizer, parser (64 rules), AST, contract checker, Python codegen |
| 9 verified properties | always_terminates, no_deadlock, no_deletion, role_exclusive, and more |
| 20 stdlib protocols | AI/ML, Business, Communication, Data, Security -- ready to use |
| Linter + Formatter | lu lint (10 rules) + lu fmt (zero-config, like gofmt) |
| LSP server | Diagnostics, hover, completion, go-to-definition, formatting |
| VS Code extension | Install from Marketplace |
| Interactive chat | lu chat -- build protocols conversationally (English, Italian, Portuguese) |
| Browser playground | Try it now -- Check, Lint, Run, Chat |
| Lean 4 bridge | Generate and verify mathematical proofs |
| REPL | lu repl for interactive exploration |
| Project scaffolding | lu init --template rag_pipeline from 20 verified templates |
Zero external dependencies. Pure Python stdlib.
CLI
lu check file.lu # Parse and compile
lu verify file.lu # Formal property verification
lu run file.lu # Execute
lu lint file.lu # 10 style and correctness rules
lu fmt file.lu # Zero-config auto-formatter
lu chat --lang en # Build a protocol conversationally
lu demo --lang it # See the La Nonna demo
lu init --template NAME # Scaffold from stdlib templates
lu visualize file.lu # Generate Mermaid sequence diagram
lu mcp-audit --manifest t.json # Audit MCP server protocols
lu repl # Interactive REPL
lu lsp # Start LSP server
CI Integration
Add protocol verification to your GitHub Actions workflow:
# .github/workflows/lu-check.yml
on:
push:
paths: ["**/*.lu"]
jobs:
lu-check:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- uses: actions/setup-python@v6
with:
python-version: "3.11"
- run: pip install cervellaswarm-lingua-universale
- run: lu lint protocols/
- run: lu verify protocols/
Exit code is non-zero on violations -- works with any CI system.
How It Works
LU is built on multiparty session types (Honda, Yoshida, Carbone -- POPL 2008). Session types describe communication protocols as types: if two processes follow the same session type, they cannot deadlock, messages cannot arrive in the wrong order, and the conversation always terminates.
The pipeline:
.lu source → Tokenizer → Parser → AST → Spec Checker → Lean 4 Proofs → Python Codegen
↓
PROVED or VIOLATED
LU doesn't replace your AI agent framework. It makes it safe. Like TypeScript for JavaScript -- you keep your tools, you add guarantees.
Examples
LU Debugger -- Live web app: 3 AI agents (Customer, Warehouse, Payment) communicate on a verified OrderProcessing protocol. Click "Break" to see a protocol violation blocked in real time. Source code.
See the examples/ directory:
- Agent Orchestration -- 3 AI agents with nested choice, 8/8 properties proved
- Live Runner -- Real Claude API agents on a verified protocol
- Standard Library -- 20 verified protocols across 5 categories
Or try the interactive Colab notebook -- 2 minutes, zero setup.
More from CervellaSwarm
Lingua Universale is the core project by CervellaSwarm. We also publish these Python packages:
| Package | What it does |
|---|---|
| code-intelligence | AST-powered code understanding (tree-sitter, PageRank) |
| agent-hooks | Lifecycle hooks for Claude Code agents |
| agent-templates | Agent definition templates & team configuration |
| task-orchestration | Deterministic task routing & validation |
| spawn-workers | Multi-agent process management |
| session-memory | Persistent session context across conversations |
| event-store | Immutable event logging & audit trail |
| quality-gates | Automated quality checks & scoring |
All Apache 2.0, Python 3.11+, tested, documented.
Contributing
We welcome contributions! See CONTRIBUTING.md for guidelines.
- Bug reports: GitHub Issues
- Security: See SECURITY.md for responsible disclosure
License
Apache License 2.0 -- see LICENSE.
Copyright 2025-2026 CervellaSwarm Contributors.
Lingua Universale -- Verified protocols for AI agents.
Playground | LU Debugger | PyPI | VS Code | Blog | Colab Demo
Frequently asked questions
What is Lingua Universale MCP Server?
Verify AI agent communication with session types and formal proofs
How do I install Lingua Universale MCP Server?
It runs on your machine. In Claude Code: claude mcp add lingua-universale-mcp-server -- uvx lu-mcp-server==0.1.1. For other clients, paste the JSON configuration from this page into their MCP settings.
Does Lingua Universale MCP Server need an API key?
Its registry entry lists no required key or secret. Some features may still need an account with the service it connects to.
Is Lingua Universale MCP Server open source?
Yes. Its code is on GitHub under the Apache-2.0 license.
Who maintains Lingua Universale MCP Server?
It is published by rafapra3008. AI.tn lists it but does not maintain or endorse it.
From the official MCP Registry. Listing is not an endorsement: review a server's code and permissions before giving it access to your data.