How to Use the FastGPT MCP in OpenAI Agents SDK

Q: Can my OpenAI Agents SDK system manage multiple knowledge bases with FastGPT?

Yes. Your agent uses the MCP tool listdatasets to find the target knowledge base and then executes pushdatasetdata to write content. You do not need to write custom routing code.

Connect FastGPT datasets directly to your OpenAI Agents SDK to build safe, guarded RAG workflows with automatic tool discovery.

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Connect FastGPT MCP to OpenAI Agents SDK

Create your Vinkius account to connect FastGPT 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 FastGPT with OpenAI Agents SDK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Automated Knowledge Ingestion

`push_dataset_data` feeds raw text chunks directly into FastGPT datasets from your OpenAI Agents SDK pipelines. Your agents run this tool to update vector stores whenever your source files change. No manual sync scripts needed. The OpenAI dashboard tracks every execution of `create_dataset` and `update_dataset_data` with full tracing. You see exactly which agent modified the knowledge base and when. This makes debugging ingestion loops straightforward.

Guarded Semantic Search

`search_dataset_data` queries your knowledge bases using vector search to retrieve relevant context before generating answers. The SDK applies runtime guardrails to verify the query parameters before hitting the FastGPT API. You control what the LLM can search. If an agent tries to call `delete_dataset_data` without authorization, the OpenAI Agents SDK blocks the action instantly. This keeps your vector datasets safe from rogue agent loops. Your production data stays intact.

FastGPT MCP Server Conversations

`chat_completions` handles multi-turn dialogues while preserving user session state across your OpenAI Agents SDK system. The tool accepts a specific chatId to keep track of historical context automatically. It avoids the mess of manual memory management. This MCP Server runs inside a secure V8 isolate, meaning your API tokens stay hidden from the agent itself. You get clean session tracking without exposing raw credentials to the LLM. Security is baked in.

Setup guide

Set up FastGPT 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 FastGPT tools at runtime.
3

Create your Agent

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

Run the agent

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

asyncio.run(main())

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Common questions about FastGPT MCP in OpenAI Agents SDK

Install the package using pip, then initialize the server streamable HTTP class with your Vinkius endpoint. Pass the server instance into the Agent constructor using the mcp_servers list parameter.

Yes. Your agent uses the MCP tool `list_datasets` to find the target knowledge base and then executes `push_dataset_data` to write content. You do not need to write custom routing code.

Yes, you can route tasks between specialized agents. For example, a search agent runs `search_dataset_data` and hands the raw context over to a writer agent to draft the response.

The SDK automatically queries the Vinkius endpoint to discover all 12 available tools. Set the cacheToolsList parameter to true to avoid redundant network roundtrips during startup.

Vinkius hosts the server in an ephemeral, zero-trust sandbox. Your raw text chunks and embeddings go directly to FastGPT without persisting on any intermediate storage disks.

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