How to Use the Every.org Charity MCP in OpenAI Agents SDK

Build production-ready philanthropic agents with the OpenAI Agents SDK.

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Connect Every.org Charity MCP to OpenAI Agents SDK

Create your Vinkius account to connect Every.org Charity 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 Every.org Charity with OpenAI Agents SDK

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Claude

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Direct non-profit database search

The `search_charities` tool connects your OpenAI agent directly to non-profit databases. Pass a cause or name, and you get structured matching entities back. The agent parses the results immediately without requiring custom web scrapers. This means you skip the manual data gathering phase. Your agent queries the MCP server, gets the exact list of non-profits, and hands that data off to your specialized routing agents for further processing.

Extract specific organization profiles

The `get_charity_details` tool pulls down specific operational and mission data for a single organization. You feed it a known charity identifier, and it outputs the exact profile. No guessing. No hallucinated tax statuses. When you build systems with the OpenAI Agents SDK, you need reliable inputs for your guardrails. Pulling direct profiles means your validation logic checks actual registered data before executing any downstream funding or reporting workflows.

Native MCP Server integration

This Every.org Charity MCP Server plugs straight into your production environment. You define the server connection using `MCPServerStreamableHttp` and pass it to your agent constructor. The SDK handles the rest. The system auto-discovers both tools instantly. Turn on `cacheToolsList=True` to cut down initialization latency. You can watch the execution traces populate in your OpenAI dashboard without writing extra logging code.

Setup guide

Set up Every.org Charity 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 Every.org Charity tools at runtime.
3

Create your Agent

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

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Every.org Charity 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="Every.org Charity Agent",
            instructions="You have access to Every.org Charity tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Every.org. 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 Every.org Charity MCP in OpenAI Agents SDK

Install the openai-agents package via pip. Create an MCPServerStreamableHttp instance with your endpoint URL, then pass it in the mcp_servers list when initializing your agent.

Yes. You set cacheToolsList=True in your server parameters. This stops the agent from refetching the tool definitions on every single run, cutting down latency.

The SDK relies on the auto-discovered MCP tool manifests. It reads the descriptions for the search and details tools, then routes the request based on the user prompt.

Yes. You can have a discovery agent run the search tool, then hand the resulting charity IDs off to a deep-dive agent that runs the details tool.

This server handles public non-profit profiles and search query strings. The isolated V8 sandbox destroys the instance immediately after the data returns, leaving zero trace of your specific philanthropic queries.

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