Convex MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 4 tools to Run Action, Run Function, Run Mutation, and more

Name: Convex
Price: 29 USD
Availability: InStock
Rating: 5.0 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Convex through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

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The Convex MCP Server for OpenAI Agents SDK is a standout in the Loved By Devs category — giving your AI agent 4 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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python

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Convex Assistant",
            instructions=(
                "You help users interact with Convex. "
                "You have access to 4 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Convex"
        )
        print(result.final_output)

asyncio.run(main())

Fully ManagedVinkius Servers

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* 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.

The OpenAI Agents SDK auto-discovers all 4 tools from Convex through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Convex, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

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 OpenAI Agents SDK 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 OpenAI Agents SDK

When OpenAI Agents SDK 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

Run action on Convex

Call a Convex action function

run

Run function on Convex

g., "messages/list" instead of "messages:list"). Call a Convex function by its URL identifier

run

Run mutation on Convex

Call a Convex mutation function

run

Run query on Convex

Use this for fetching data. Call a Convex query function

Connect Convex to OpenAI Agents SDK via MCP

Follow these steps to wire Convex into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 4 tools from Convex

Why Use OpenAI Agents SDK with the Convex MCP Server

OpenAI Agents SDK provides unique advantages when paired with Convex through the Model Context Protocol.

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Convex + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Convex MCP Server delivers measurable value.

Automated workflows: build agents that query Convex, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries Convex, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through Convex tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query Convex to resolve tickets, look up records, and update statuses without human intervention

Example Prompts for Convex in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK

Common issues when connecting Convex to OpenAI Agents SDK through Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Convex + OpenAI Agents SDK FAQ

Common questions about integrating Convex MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.