Convex MCP Server for Mastra AIGive Mastra AI instant access to 4 tools to Run Action, Run Function, Run Mutation, and more
GDPR Free for SubscribersMastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Convex through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
Ask AI about this MCP Server for Mastra AI
The Convex MCP Server for Mastra AI is a standout in the Loved By Devs category — giving your AI agent 4 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
Geminiimport { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token. get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"convex": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Convex Agent",
instructions:
"You help users interact with Convex " +
"using 4 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Convex?"
);
console.log(result.text);
}
main();
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Convex MCP Server
Connect your Convex deployment to any AI agent and manage your application's data and logic through natural conversation. This server allows you to interact with your real-time database and serverless functions without leaving your AI interface.
Mastra's agent abstraction provides a clean separation between LLM logic and Convex tool infrastructure. Connect 4 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
What you can do
- Data Fetching — Execute read-only queries to retrieve documents and state from your Convex tables.
- Transactional Updates — Run mutations to modify data with full ACID guarantees directly from the agent.
- Side Effects & APIs — Trigger Convex actions for external API calls, heavy computation, or non-transactional logic.
- Flexible Execution — Call functions using standard colon notation or URL-style identifiers for maximum compatibility.
The Convex MCP Server exposes 4 tools through the Vinkius. Connect it to Mastra AI in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 4 Convex tools available for Mastra AI
When Mastra AI connects to Convex through Vinkius, your AI agent gets direct access to every tool listed below — spanning real-time-database, serverless-functions, typescript, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.
Run action on Convex
Call a Convex action function
Run function on Convex
g., "messages/list" instead of "messages:list"). Call a Convex function by its URL identifier
Run mutation on Convex
Call a Convex mutation function
Run query on Convex
Use this for fetching data. Call a Convex query function
Connect Convex to Mastra AI via MCP
Follow these steps to wire Convex into Mastra AI. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install dependencies
npm install @mastra/core @mastra/mcp @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Mastra AI with the Convex MCP Server
Mastra AI provides unique advantages when paired with Convex through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Convex without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every Convex tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
Convex + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Convex MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Convex, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Convex as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Convex on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Convex tools alongside other MCP servers
Example Prompts for Convex in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with Convex immediately.
"Run the Convex query 'messages:list' with no arguments."
"Call the mutation 'users:create' with the argument { "name": "Alice" }."
"Execute the function 'tasks/get_all' using run_function."
Troubleshooting Convex MCP Server with Mastra AI
Common issues when connecting Convex to Mastra AI through Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpConvex + Mastra AI FAQ
Common questions about integrating Convex MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
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