Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Description from the maker (original English)
Verify AI agent communication with session types and formal proofs
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We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
You need
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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-serverPaste 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.
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.
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These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Runs on your computer; the tool list appears in your AI app after you install it.
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
The registry name was verified with the GitHub account rafapra3008, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
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.
The registry does not list a required key, though some servers ask you to sign in on first use.
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).
The GitHub repo last changed –, and the latest version (0.1.1) reached the registry 8 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.
In the same category: Spec Driven Development, Remote Desktop Commander, Signoff
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
Five gates that make an agent's 'done' provable: run them, read the verdict, audit the record.
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.
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.
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
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!
The protocol says reviewer goes next. The runtime blocks it. Not because you trust the code -- because the session type makes it impossible.
pip install cervellaswarm-lingua-universale
Or try it first: Playground (runs in your browser via Pyodide).
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.
| 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.
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
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:
Exit code is non-zero on violations -- works with any CI system.
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.
[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:
Or try the interactive Colab notebook -- 2 minutes, zero setup.
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.
We welcome contributions! See CONTRIBUTING.md for guidelines.
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