AI coding agents query, introspect, and optimize projects
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Tracked since2026
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Convex's official MCP server is built into the Convex CLI, giving AI coding agents access to a deployment to query, introspect, and optimize a project.
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Key Features
Deployment introspection and selectionInspect schemas and paginate documentsRun read-only queriesExecute functions and read logsAccess health and performance insights and manage env vars
Pricing
Freemium
Convex MCP offers a generous free tier with optional paid upgrades for advanced features.
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Convex MCP FAQ
How does Convex MCP help AI coding agents during development?
Convex MCP is an official MCP server built into the Convex CLI that gives AI coding agents direct access to a deployment to query, introspect, and optimize a project. This allows agents to examine the current state of the codebase and deployment, making them more effective at debugging and performance tuning.
Which teams benefit most from using Convex MCP?
Teams building serverless applications with Convex who want to integrate AI coding agents into their development workflow benefit most from Convex MCP. It is especially useful for developers who rely on AI agents to assist with querying, introspection, and optimization tasks directly against a live deployment.
How does Convex MCP compare to Devin for AI-assisted development?
Convex MCP is a built-in MCP server within the Convex CLI that gives AI agents access to a specific Convex deployment, whereas Devin is a standalone AI coding agent that operates across a broader range of projects. Convex MCP is tightly integrated with Convex’s hosting and deployment environment, making it more specialized for Convex projects.
What are the main limitations or trade-offs of using Convex MCP?
Convex MCP is designed exclusively for projects built on the Convex platform, so it does not support other hosting or deployment environments. Teams using non-Convex backends would need to look at alternative tools like LangChain or Forefront for broader compatibility.
How is Convex MCP priced?
Convex MCP is available on a free tier, with paid plans that offer more usage and additional features. The free tier allows teams to start integrating AI agents without upfront cost.
Can Convex MCP query and introspect a deployment in real time?
Yes, Convex MCP gives AI coding agents real-time access to a deployment to query and introspect its current state. This enables agents to analyze data, schemas, and performance metrics directly from the live environment.
Does Convex MCP integrate with the Convex CLI?
Yes, Convex MCP is built directly into the Convex CLI, so developers can enable it without installing a separate server or tool. This tight integration streamlines the workflow for teams already using Convex for hosting and deployment.
Why would a developer choose Convex MCP over Julep AI for agent-based optimization?
Convex MCP is purpose-built for Convex projects, offering native access to query, introspect, and optimize a deployment, while Julep AI is a general-purpose agent framework. Developers already using Convex for hosting and deployment will find Convex MCP simpler to set up and more directly relevant to their stack.
Source: convex.dev