How to Use the Diffbot MCP in OpenAI Agents SDK

Q: Can I search the knowledge graph via Diffbot within OpenAI Agents SDK?

You can. Just call searchknowledgegraph with your query, and the results feed straight into your agent's reasoning loop.

Use the Diffbot MCP Server to pull clean, structured data directly into your OpenAI Agents SDK production pipelines.

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Connect Diffbot MCP to OpenAI Agents SDK

Create your Vinkius account to connect Diffbot to OpenAI Agents SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Diffbot with OpenAI Agents SDK

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Claude

Perplexity

Real-time extraction for OpenAI Agents SDK

Stop wrestling with brittle scrapers. This MCP Server lets your agent reach out to any URL and pull structured data back using `extract_product_data` or `extract_article_data`. Your agent gets clean JSON back immediately. No manual parsing, no fragile CSS selectors, just structured data ready for your downstream logic.

Enrich agent knowledge with Diffbot

Your agent can now look up real-world entities on the fly. Use `enhance_company_profile` to pull current data into your agent's context window during a task. This keeps your agent informed without needing a massive, static database. It just calls the tool and gets the latest facts.

Manage crawls from OpenAI Agents SDK

Keep an eye on your background jobs without leaving your code. The `list_active_crawls` tool lets your agent check progress on long-running data collection tasks. It’s a direct line to your data status. If a crawl stalls, your agent knows exactly when to restart or retry the job.

Setup guide

Set up Diffbot MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Diffbot tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Diffbot tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Diffbot tools and returns structured results. Copy the full example on the right to get started.

agent.py

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

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="Diffbot Agent",
            instructions="You have access to Diffbot tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Diffbot. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Diffbot MCP in OpenAI Agents SDK

You instantiate an MCPServerStreamableHttp object pointing to your Vinkius endpoint. Pass that into your agent constructor, and the tools appear automatically.

Yes. Since the tools return structured JSON, your guardrails can validate the output against your Pydantic schemas before the agent processes the data.

You can. Just call `search_knowledge_graph` with your query, and the results feed straight into your agent's reasoning loop.

Vinkius handles your connection via an ephemeral, secure tunnel. Your API tokens and any data returned from Diffbot stay within your local agent's memory space.

The server returns a standard error code that bubbles up to your agent. You handle it just like any other API exception in your Python code.

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