How do I verify a protocol file?

Use the CLI command 'lu verify file.lu' to formally prove properties like no deadlock and all roles participate.

Can I integrate this verification into CI workflows?

Yes, the CLI exits with a non-zero code on violations, making it suitable for GitHub Actions or other CI systems.

Does it support interactive protocol development?

Yes, it includes an interactive REPL, a conversational chat interface, and a browser playground.

What languages are supported for the conversational chat?

English, Italian, and Portuguese.

Cervellaswarm

Verify AI agent communication protocols with formal session types, proofs, linter, formatter, and LSP support.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

Add to Cursor Add to VS Code

Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag — we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON ▾

Client Config & Setup

Choose your client or environment

Target File:~/Library/Application Support/Claude/claude_desktop_config.json

claude_desktop_config.json

{
  "mcpServers": {
    "rafapra3008-cervellaswarm": {
      "command": "uvx",
      "args": [
        "cervellaswarm-lingua-universale"
      ]
    }
  }
}

💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Overview

This server provides a language and toolchain for defining, verifying, and enforcing AI agent communication protocols using multiparty session types. It includes a formal specification language with mathematical proofs of correctness, a runtime checker to prevent protocol violations, and developer tools such as a linter, formatter, and language server. Use it to ensure AI agents interact without deadlocks, role violations, or message order errors before deployment.

Use cases

Define communication protocols for AI agent interactions

Formally verify protocol properties like deadlock freedom and termination

Lint and format protocol specifications for consistency

Enforce protocol compliance at runtime to catch violations

Integrate protocol verification into CI pipelines

Key features

Formal protocol specification language with 64 grammar rules

Mathematical proofs of 9 protocol properties including no deadlock

Runtime session checker that blocks protocol violations

Linter and zero-config formatter for protocol files

Language Server Protocol (LSP) support with diagnostics and completion

VS Code extension and browser playground for interactive use

Capabilities & Tool Schemas

Inspect callable tools, capabilities, and parameters exposed to AI agents by Cervellaswarm.

Extracted Tool Capabilities

Formal protocol specification language with 64 grammar rules

Mathematical proofs of 9 protocol properties including no deadlock

Runtime session checker that blocks protocol violations

Linter and zero-config formatter for protocol files

Language Server Protocol (LSP) support with diagnostics and completion

VS Code extension and browser playground for interactive use

Documentation Overview

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.

server.ts

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

Terminal

pip install cervellaswarm-lingua-universale

Or try it first: Playground (runs in your browser via Pyodide).

Write a Protocol

Code

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:

bash

lu verify delegate_task.lu

Code

  [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

bash

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:

yaml

# .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:

Code

.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.

Lingua Universale -- Verified protocols for AI agents.

Read the full README →View source on GitHub →

Related MCP Servers

View all in Security View all alternatives

Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

GitHub stars

Stargazers on the source repository.

Last commit

24d ago

Most recent push to the default branch.

Directory activity

1 views

Config copies, upvotes, and views on AllMCPs.

Reviews

No reviews yet — be the first to share how this listing worked for you.

Frequently Asked Questions about Cervellaswarm

It detects deadlocks, role violations such as wrong sender or receiver, wrong message order, and missing steps before deployment.

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Markdown (GitHub README)

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Technical Specs & Signals

CategorySecurity

10/13 checks healthy over the last 33d

51Quality signal: Good · 51/100How this signal is calculated ▾

Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20

Documentation & tools22/30

Adoption & activity6/15

Community engagement0/10

A guidance signal from public completeness & health data — not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

Supply-chain signal

No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 27d ago via OSV.dev · cervellaswarm-lingua-universale (PyPI)

★ Spotlight Slot

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More in 🔒 Security →Best MCP servers for Security →Alternatives to Cervellaswarm →Install in Claude Desktop Install in Cursor Install in VS Code

Cervellaswarm

Verify AI agent communication protocols with formal session types, proofs, linter, formatter, and LSP support.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

Add to Cursor Add to VS Code

Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag — we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON ▾

Client Config & Setup

Choose your client or environment

Target File:~/Library/Application Support/Claude/claude_desktop_config.json

claude_desktop_config.json

{
  "mcpServers": {
    "rafapra3008-cervellaswarm": {
      "command": "uvx",
      "args": [
        "cervellaswarm-lingua-universale"
      ]
    }
  }
}

💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Overview

Use cases

Define communication protocols for AI agent interactions

Formally verify protocol properties like deadlock freedom and termination

Lint and format protocol specifications for consistency

Enforce protocol compliance at runtime to catch violations

Integrate protocol verification into CI pipelines

Key features

Formal protocol specification language with 64 grammar rules

Mathematical proofs of 9 protocol properties including no deadlock

Runtime session checker that blocks protocol violations

Linter and zero-config formatter for protocol files

Language Server Protocol (LSP) support with diagnostics and completion

VS Code extension and browser playground for interactive use

Capabilities & Tool Schemas

Inspect callable tools, capabilities, and parameters exposed to AI agents by Cervellaswarm.

Extracted Tool Capabilities

Formal protocol specification language with 64 grammar rules

Mathematical proofs of 9 protocol properties including no deadlock

Runtime session checker that blocks protocol violations

Linter and zero-config formatter for protocol files

Language Server Protocol (LSP) support with diagnostics and completion

VS Code extension and browser playground for interactive use

Documentation Overview

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.

server.ts

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

Terminal

pip install cervellaswarm-lingua-universale

Or try it first: Playground (runs in your browser via Pyodide).

Write a Protocol

Code

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:

bash

lu verify delegate_task.lu

Code

  [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

bash

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:

yaml

# .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

The pipeline:

Code

.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

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.

Lingua Universale -- Verified protocols for AI agents.

Read the full README →View source on GitHub →

Related MCP Servers

View all in Security View all alternatives

Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

GitHub stars

Stargazers on the source repository.

Last commit

24d ago

Most recent push to the default branch.

Directory activity

1 views

Config copies, upvotes, and views on AllMCPs.

Reviews

No reviews yet — be the first to share how this listing worked for you.

Frequently Asked Questions about Cervellaswarm

It detects deadlocks, role violations such as wrong sender or receiver, wrong message order, and missing steps before deployment.

AllMCPs Directory Badge

Full Badge Customizer

Showcase your server listing on GitHub or your project documentation. Embed this dynamic SVG badge to highlight official listing status and live engagement.

Badge Style:

Live Dynamic SVG Preview

Markdown (GitHub README)

[![AllMCPs](https://allmcps.com/api/badge/rafapra3008-cervellaswarm?style=directory)](https://allmcps.com/mcp/rafapra3008-cervellaswarm)

HTML Embed

<a href="https://allmcps.com/mcp/rafapra3008-cervellaswarm"><img src="https://allmcps.com/api/badge/rafapra3008-cervellaswarm?style=directory" alt="Cervellaswarm on AllMCPs" /></a>

Technical Specs & Signals

CategorySecurity

10/13 checks healthy over the last 33d

51Quality signal: Good · 51/100How this signal is calculated ▾

Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20

Documentation & tools22/30

Adoption & activity6/15

Community engagement0/10

Supply-chain signal

No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 27d ago via OSV.dev · cervellaswarm-lingua-universale (PyPI)

★ Spotlight Slot

Feature Your MCP Server

Get maximum visibility for your server across our directory, search results, and detail pages.

Spotlight Your Server

Own this project?

Free dofollow backlink: add your website and place the AllMCPs badge on it — no claim needed. We detect it automatically and keep it verified as long as the badge stays live.

Claim & get free dofollow

Share & Embed

Add our SVG badge (dark/light directory styles) or embeddable widget to your site.

Explore more

More in 🔒 Security →Best MCP servers for Security →Alternatives to Cervellaswarm →Install in Claude Desktop Install in Cursor Install in VS Code