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Lingua Universale MCP Server

by rafapra3008version 0.1.1i★ –iRuns on your computer
Registry nameio.github.rafapra3008/lu-mcp-server

Install

Overview

Description from the maker (original English)

Verify AI agent communication with session types and formal proofs

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Other

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • The registry lists no key to fill in.

You need

  • PyPIPython’s uv installed (for the uvx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "lu": {
      "command": "uvx",
      "args": [
        "lu-mcp-server"
      ]
    }
  }
}

Run this in your terminal

claude mcp add lu -- uvx lu-mcp-server

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "lu": {
      "command": "uvx",
      "args": [
        "lu-mcp-server"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "lu": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "lu-mcp-server"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account rafapra3008, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Otheri

  • More stars than 0% of the other 18333 servers in this category
  • Published to the registry more recently than 3% of the other 18333 servers in this category
  • Basic checks equal to or better than 100% of the other 18333 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Lingua Universale MCP Server safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.1.1) reached the registry 8 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, Signoff

Alternatives

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Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

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by formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

Runs on your computer★ 440MITUpdated 14 months ago
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Remote Desktop Commander

by desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

Runs in the cloud★ 211Updated 2 days ago
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Signoff

by ayuanxx-max

Five gates that make an agent's 'done' provable: run them, read the verdict, audit the record.

Runs on your computerUpdated today
Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

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

FeatureDescription
Full compilerTokenizer, parser (64 rules), AST, contract checker, Python codegen
9 verified propertiesalways_terminates, no_deadlock, no_deletion, role_exclusive, and more
20 stdlib protocolsAI/ML, Business, Communication, Data, Security -- ready to use
Linter + Formatterlu lint (10 rules) + lu fmt (zero-config, like gofmt)
LSP serverDiagnostics, hover, completion, go-to-definition, formatting
VS Code extensionInstall from Marketplace
Interactive chatlu chat -- build protocols conversationally (English, Italian, Portuguese)
Browser playgroundTry it now -- Check, Lint, Run, Chat
Lean 4 bridgeGenerate and verify mathematical proofs
REPLlu repl for interactive exploration
Project scaffoldinglu 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](https://lu-debugger.fly.dev/) -- 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](packages/lingua-universale/examples/dogfood_agent_orchestration.lu) -- 3 AI agents with nested choice, 8/8 properties proved
  • [Live Runner](packages/lingua-universale/examples/dogfood_runner_live.py) -- Real Claude API agents on a verified protocol
  • [Standard Library](packages/lingua-universale/src/cervellaswarm_lingua_universale/stdlib/) -- 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:

PackageWhat it does
code-intelligenceAST-powered code understanding (tree-sitter, PageRank)
agent-hooksLifecycle hooks for Claude Code agents
agent-templatesAgent definition templates & team configuration
task-orchestrationDeterministic task routing & validation
spawn-workersMulti-agent process management
session-memoryPersistent session context across conversations
event-storeImmutable event logging & audit trail
quality-gatesAutomated 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

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