Convex MCP server | Glama

Convex’s MCP server lets you introspect tables, call functions, and read/write data seamlessly. Agents can generate one-off queries safely—thanks to Convex’s sandboxed queries, ensuring data integrity. Perfect for AI automation, real-time apps, and dynamic data access.

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Convex MCP server | Glama

Introduction

What is Convex MCP Server?

Convex MCP Server is an open-source reactive database platform designed to streamline backend development for web applications, including AI-powered solutions. Built with TypeScript integration, it combines a real-time database, serverless functions, and client libraries to enable developers to build dynamic, live-updating apps efficiently. Whether you're creating AI-driven interfaces or scaling data-intensive services, Convex simplifies backend complexity while maintaining strong consistency.

Key Features

  1. Real-Time Data Syncing: Automatically synchronize data across clients, ideal for AI applications requiring live updates.

  2. TypeScript-First Development: Write database queries and business logic in pure TypeScript for seamless integration with AI models.

  3. Serverless Architecture: Deploy server functions without infrastructure management, perfect for prototyping AI features.

  4. Hybrid Deployment Options: Choose between fully managed cloud hosting or self-hosted solutions for data-sensitive AI projects.

  5. Strong Consistency Model: Ensure reliable transactions for mission-critical AI operations and analytics pipelines.

How to Implement

  1. Cloud Deployment:

    • Start with the free tier for AI prototypes
    • Use CLI tools to define data schemas and server functions
    • Integrate real-time subscriptions for AI dashboard updates

  2. Self-Hosting:

    • Deploy via Docker to platforms like Fly.io or AWS
    • Connect to PostgreSQL/RDS for enterprise-scale AI data
    • Monitor through built-in dashboard (port 3210 by default)

Pricing Structure

  • Free Tier: Full functionality for small AI projects (10K monthly transactions)

  • Production Plans: From $25/month with automated scaling for AI workloads

  • Enterprise: Custom pricing for self-hosted deployments with dedicated support

AI Development Tips

  1. Real-Time AI Dashboards: Use live queries to visualize model outputs

  2. Hybrid Processing: Combine Convex transactions with GPU-accelerated AI pipelines

  3. Privacy-First AI: Self-host sensitive data processing while using cloud AI APIs

  4. Rapid Prototyping: Test AI features locally before cloud deployment

Frequently Asked Questions

Q: How does Convex handle real-time AI data streams?

A: Built-in reactive queries automatically push updates to clients when underlying data changes, eliminating polling for ML model outputs.

Q: Can I integrate Python-based AI models?

A: While core logic uses TypeScript, Convex supports HTTP actions to connect external AI services and microservices.

Q: What makes Convex suitable for AI product development?

A: The unified platform reduces backend complexity, allowing developers to focus on AI/ML implementation while ensuring data consistency across distributed systems.

Q: How does self-hosting support AI compliance?

A: Full control over data residency and processing locations helps meet GDPR/HIPAA requirements for healthcare AI and financial models.

Q: Can I build collaborative AI tools?

A: Yes - real-time sync capabilities enable multi-user AI annotation systems and live model training interfaces.