What can you do with this server?

The Modal MCP Server provides an interface to Modal cloud computing, enabling AI agents to render videos, synthesize speech, manage jobs, and monitor deployments. * Video Rendering — Render Remotion compositions (e.g., instagram_ugc_v1, explainer_v1, tiktok_v1) on Modal's cloud with configurable quality (preview/production), style overrides, and resolution settings. Results are uploaded to Supabase Storage and a public MP4 URL is returned. * Voice Synthesis — Generate speech via F5-TTS voice cloning (Isaiah voice by default) with configurable speed (0.5–2.0x) and sampling temperature. Returns an audio URL or base64-encoded audio. * GPU Computing — Dispatch general-purpose GPU tasks to Modal's cloud infrastructure. * Job Management — Submit, list, retrieve, and cancel jobs; track status and results with persistent storage via Supabase or an in-memory fallback. * Modal App Monitoring — List all deployed Modal apps with their status, task count, and creation date. * Log Tailing — Retrieve recent logs from any Modal app (e.g., remotion-render, voice-clone) with a configurable line count. * Health Checks — Monitor server and dependency status via /api/health. * Built-in Safeguards — Rate limiting (100 req/min per IP), input validation, and CORS configuration for secure interactions.

Which integrations are available for this server?

Exposes Modal cloud functions as tools, enabling video rendering of Remotion compositions, speech synthesis via F5-TTS voice cloning, and management of Modal apps and logs. Integrates with Supabase Storage to persist rendered video files (MP4/PNG) and uses Supabase database to store and retrieve render job metadata and history.

How do I use Modal MCP Server?

1. Click on "Install Server". 2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state. 3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@Modal MCP Server Render the intro video in 1080p using my Main composition" That's it! The server will respond to your query, and you can continue using it as needed. Here is a step-by-step guide with screenshots.

Modal MCP Server

by IsaiahDupree

Overview Schema Related Servers Score Discussions

JavaScript

Local

Complete MCP (Model Context Protocol) server for Modal cloud computing. Exposes render, voice, and GPU computing capabilities as tools for Claude and LLM agents.

Status: Production-ready (28/65 features complete)

Overview

Modal MCP provides:

Video Rendering — Remotion compositions on Modal's cloud infrastructure
Voice Synthesis — F5-TTS voice cloning for audio generation
GPU Computing — General GPU task dispatch
Job Management — Full job lifecycle with status tracking
Health Monitoring — Real-time dependency status
Rate Limiting — Built-in protection against abuse
Supabase Integration — Persistent job storage

Related MCP server: LangChain Anthropic MCP Server

Quick Start

1. Install and Configure

# Install dependencies
npm install

# Copy and edit environment file
cp .env.example .env
# Edit .env with your Supabase and Modal URLs

2. Start Server

npm start        # Production mode
npm run dev      # Development with verbose logging

Server runs on http://localhost:3001

3. Test It Works

# Health check
curl http://localhost:3001/api/health | jq .

# Run test suite
npm run test:all

API Endpoints

Health Check

GET /api/health

Returns server status and dependency health.

Job Management

POST   /api/jobs              # Submit a job
GET    /api/jobs              # List jobs
GET    /api/jobs/:id          # Get job status
GET    /api/jobs/:id/result   # Get job result (if done)
DELETE /api/jobs/:id          # Cancel pending job

MCP Tools

Tool	Description
`modal_render`	Render Remotion composition on Modal → Supabase Storage
`modal_render_list`	List past render jobs
`modal_render_get`	Get single render job details
`modal_voice_clone`	Synthesize speech via F5-TTS voice clone
`modal_apps`	List deployed Modal apps
`modal_logs`	Tail logs from a Modal app

Configuration

Environment Variables

# Supabase (required for persistence)
SUPABASE_URL=https://your-project.supabase.co
SUPABASE_KEY=your-service-role-key

# Modal Endpoints
MODAL_REMOTION_RENDER_URL=https://your-account--remotion-render.modal.run
MODAL_VOICE_CLONE_URL=https://your-account--voice-clone.modal.run
MODAL_BIN=modal

# Server
PORT=3001
LOG_LEVEL=info  # debug, info, warn, error

Docker Setup

docker build -t modal-mcp:latest .
docker run -p 3001:3001 \
  -e SUPABASE_URL=... \
  -e SUPABASE_KEY=... \
  modal-mcp:latest

Integration with Claude

Add to Claude's settings.json:

{
  "mcpServers": {
    "modal-mcp": {
      "command": "node",
      "args": ["/path/to/modal-mcp/server.js"],
      "env": {
        "SUPABASE_URL": "https://your-project.supabase.co",
        "SUPABASE_KEY": "your-key",
        "MODAL_REMOTION_RENDER_URL": "https://your-modal-endpoint.modal.run"
      }
    }
  }
}

Features Implemented

Phase 1: Infrastructure & Health Checks ✅

MCP Server Initialization (INFRA-001)
Environment Configuration (INFRA-002)
Logging System (INFRA-003)
Health Check Endpoint (API-001)
Error Handling Middleware (API-002)

Phase 2: Job Management ✅

Job Submission API (JOB-001)
Job Status Polling (JOB-002)
Job Result Retrieval (JOB-003)
Job Cancellation (JOB-004)
Job Queue Management (JOB-005)
API Rate Limiting (API-003)
Input Validation (SECURITY-001)
CORS Configuration (SECURITY-002)

Phase 3: Render Pipeline ✅

Remotion Render Job Submission (RENDER-001)
Render Quality Configuration (RENDER-002)
Voice Clone Job Submission (VOICE-001)
Voice Clone Result Retrieval (VOICE-002)
GPU Task Dispatch (GPU-001)

Phase 4-6: In Progress

Testing features (unit, integration, end-to-end)
Database schema and optimization
Deployment documentation
Monitoring and observability

Testing

# Unit tests (10 tests, all passing)
npm run test

# API integration tests
npm run test:api

# Run all tests
npm run test:all

Documentation

DEPLOYMENT.md — Docker, Vercel, Kubernetes, monitoring, scaling
docs/DATABASE.md — Supabase schema setup and migration

Examples

Submit a Render Job

curl -X POST http://localhost:3001/api/jobs \
  -H "Content-Type: application/json" \
  -d '{
    "type": "render",
    "composition": "explainer_v1",
    "sections": [
      {
        "id": "1",
        "type": "hook",
        "duration_sec": 3,
        "content": {"text": "Hello World"}
      }
    ],
    "quality": "production"
  }'

Check Job Status

curl http://localhost:3001/api/jobs/abc12345

Get Render Result

curl http://localhost:3001/api/jobs/abc12345/result

Performance

Rate Limiting: 100 requests/minute per IP
Job Timeouts: 10 minutes (render), 2 minutes (voice)
In-Memory Store: Fallback when Supabase unconfigured
Structured Logging: JSON logs with timestamps

Architecture

┌─────────────────────────────────────┐
│         Claude / LLM Agent          │
└─────────────┬───────────────────────┘
              │ MCP Protocol
              ▼
┌─────────────────────────────────────┐
│      Modal MCP Server               │
├─────────────────────────────────────┤
│  HTTP Layer (3001)                  │
│  • Health checks                    │
│  • Job management                   │
│  • Rate limiting                    │
├─────────────────────────────────────┤
│  MCP Tool Layer                     │
│  • Render (Remotion)                │
│  • Voice (F5-TTS)                   │
│  • GPU tasks                        │
├─────────────────────────────────────┤
│  Storage Layer                      │
│  • Supabase (persistent)            │
│  • In-Memory (fallback)             │
└─────────────┬───────────────────────┘
              │
    ┌─────────┴──────────┬──────────────┐
    ▼                    ▼              ▼
┌──────────┐        ┌──────────┐   ┌────────────┐
│ Modal    │        │Supabase  │   │ Storage    │
│Endpoints │        │Database  │   │ (S3/GCS)   │
└──────────┘        └──────────┘   └────────────┘

License

MIT

Support

Issues: GitHub issues
Documentation: See DEPLOYMENT.md and docs/
Examples: See test-api.sh

Install Server

license - not found

quality

maintenance

How are these scores calculated?

Maintenance

–Maintainers

–Response time

–Release cycle

–Releases (12mo)

Commit activity

Resources

GitHub Repository

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modal-mcp

Overview

Quick Start

1. Install and Configure

2. Start Server

3. Test It Works

API Endpoints

Health Check

Job Management

MCP Tools

Configuration

Environment Variables

Docker Setup

Integration with Claude

Features Implemented

Phase 1: Infrastructure & Health Checks ✅

Phase 2: Job Management ✅

Phase 3: Render Pipeline ✅

Phase 4-6: In Progress

Testing

Documentation

Examples

Submit a Render Job

Check Job Status

Get Render Result

Performance

Architecture

License

Support

Maintenance

Resources

Looking for Admin?

Tools

Related MCP Servers

Modal MCP Server

LangChain Anthropic MCP Server

Modal MCP Server

Botverse

Related MCP Connectors

Latest Blog Posts

MCP directory API