Relevance AI MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 11 tools to Delete Task, Get Agent Details, Get Knowledge, and more

Name: Relevance AI
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 Relevance AI through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

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The Relevance AI MCP Server for OpenAI Agents SDK is a standout in the Industry Titans category — giving your AI agent 11 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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+ other MCP clients

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="Relevance AI Assistant",
            instructions=(
                "You help users interact with Relevance AI. "
                "You have access to 11 tools."
            ),
            mcp_servers=[mcp_server],
        )

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

asyncio.run(main())

Fully ManagedVinkius Servers

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Ed25519Audit chain

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Relevance AI MCP Server

Connect your Relevance AI account to any AI agent and take full control of your autonomous AI workforce and tool orchestration through natural conversation. Relevance AI provides a world-class platform for building and scaling multi-agent systems, and this integration allows you to trigger autonomous agents, execute custom studios (tools), and monitor long-running task histories directly from your chat interface.

The OpenAI Agents SDK auto-discovers all 11 tools from Relevance AI through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Relevance AI, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

Agent & Workforce Orchestration — List all available autonomous agents and trigger them to perform specific goals with dynamic inputs programmatically.
Studio & Tool Intelligence — Access and monitor your custom AI 'Studios' and execute them with complex parameters directly from the AI interface.
Task Lifecycle Management — Retrieve real-time progress for background tasks and monitor final outputs to ensure your autonomous workflows are always synchronized.
Knowledge & RAG Control — List and search through your agent's knowledge base items and datasets via natural language.
Operational Monitoring — Track system activity and manage regional deployments using simple AI commands.

The Relevance AI MCP Server exposes 11 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 11 Relevance AI tools available for OpenAI Agents SDK

When OpenAI Agents SDK connects to Relevance AI through Vinkius, your AI agent gets direct access to every tool listed below — spanning multi-agent-systems, autonomous-agents, workflow-automation, 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.

delete

Delete task on Relevance AI

Permanently delete a task record

get

Get agent details on Relevance AI

Get metadata for an agent

get

Get knowledge on Relevance AI

Get details for a knowledge base

get

Get task status on Relevance AI

Check status and results of a task

list

List agent tasks on Relevance AI

List recent agent tasks

list

List agents on Relevance AI

List all AI agents

list

List executions on Relevance AI

List all agent execution history

list

List knowledge items on Relevance AI

List knowledge base items

list

List tools on Relevance AI

List all studios/tools

trigger

Trigger agent on Relevance AI

Start an agent task

trigger

Trigger tool on Relevance AI

Execute a specific tool (Studio)

Connect Relevance AI to OpenAI Agents SDK via MCP

Follow these steps to wire Relevance AI 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 11 tools from Relevance AI

Why Use OpenAI Agents SDK with the Relevance AI MCP Server

OpenAI Agents SDK provides unique advantages when paired with Relevance AI 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

Relevance AI + OpenAI Agents SDK Use Cases

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

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

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

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

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

Example Prompts for Relevance AI in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Relevance AI immediately.

"List all my available autonomous agents."

"Show me all AI agents in my workspace with their execution statistics from the last 7 days."

"Trigger the Lead Qualifier agent to analyze and score a batch of 50 new inbound leads."

Troubleshooting Relevance AI MCP Server with OpenAI Agents SDK

Common issues when connecting Relevance AI 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.

Relevance AI + OpenAI Agents SDK FAQ

Common questions about integrating Relevance AI 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.

Can I use multiple MCP servers in one agent?

Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.

Does the SDK support streaming responses?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.

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