Can I use this with my self-hosted FastGPT instance?

Yes! Simply provide your custom domain in the **Base URL** field (e.g., `https://fastgpt.mycompany.com`). The MCP will route all requests to your specific instance.

How do I add new data to an existing dataset?

Use the `push_dataset_data` tool. You can send a JSON array of objects containing the text content to be indexed. FastGPT will handle the chunking and embedding automatically.

What is the 'goods_sign' used for in Pinduoduo tools?

Wait, this is the FastGPT FAQ. For FastGPT, you mostly need Dataset IDs and App IDs. The 'goods_sign' is specific to the Pinduoduo MCP. Always check you are using the correct tools for the specific platform.

FastGPT MCP Server for AutoGen 12 tools — connect in under 2 minutes

Name: FastGPT
Availability: InStock
Author: Vinkius

microsoft.github.io/autogen/docs/tools/mcp-tools

Built by Vinkius GDPR 12 Tools Framework

Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add FastGPT as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with McpWorkbench(
        server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
        transport="streamable_http",
    ) as workbench:
        tools = await workbench.list_tools()
        agent = AssistantAgent(
            name="fastgpt_agent",
            tools=tools,
            system_message=(
                "You help users with FastGPT. "
                "12 tools available."
            ),
        )
        print(f"Agent ready with {len(tools)} tools")

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

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 FastGPT MCP Server

Connect your AI workflows to FastGPT, the powerful open-source platform for building knowledge-based AI applications. This MCP provides 12 tools for full lifecycle management of datasets, apps, and RAG (Retrieval-Augmented Generation) pipelines.

AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use FastGPT tools. Connect 12 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.

What you can do

Dataset Orchestration — Create, list, and manage knowledge base datasets with granular control over configurations
Document Ingestion — Push text content or chunks directly to datasets for automatic indexing and vectorization
Semantic Search — Run advanced semantic queries against your knowledge bases to test relevance and RAG quality
Application Management — List and inspect AI applications to monitor their configurations and linked datasets
OpenAI-Compatible Chat — Trigger RAG-powered chat completions with full context, session tracking, and intermediate step visibility

The FastGPT MCP Server exposes 12 tools through the Vinkius. Connect it to AutoGen in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect FastGPT to AutoGen via MCP

Follow these steps to integrate the FastGPT MCP Server with AutoGen.

Install AutoGen

Run pip install "autogen-ext[mcp]"

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Integrate into workflow

Use the agent in your AutoGen multi-agent orchestration

Explore tools

The workbench discovers 12 tools from FastGPT automatically

Why Use AutoGen with the FastGPT MCP Server

AutoGen provides unique advantages when paired with FastGPT through the Model Context Protocol.

Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use FastGPT tools to solve complex tasks

Role-based architecture lets you assign FastGPT tool access to specific agents. a data analyst queries while a reviewer validates

Human-in-the-loop support: agents can pause for human approval before executing sensitive FastGPT tool calls

Code execution sandbox: AutoGen agents can write and run code that processes FastGPT tool responses in an isolated environment

FastGPT + AutoGen Use Cases

Practical scenarios where AutoGen combined with the FastGPT MCP Server delivers measurable value.

Collaborative analysis: one agent queries FastGPT while another validates results and a third generates the final report

Automated review pipelines: a researcher agent fetches data from FastGPT, a critic agent evaluates quality, and a writer produces the output

Interactive planning: agents negotiate task allocation using FastGPT data to make informed decisions about resource distribution

Code generation with live data: an AutoGen coder agent writes scripts that process FastGPT responses in a sandboxed execution environment

FastGPT MCP Tools for AutoGen (12)

These 12 tools become available when you connect FastGPT to AutoGen via MCP:

chat_completions

Supports chatId for context tracking, streaming, and detailed intermediate steps. Send a message to a FastGPT application

create_dataset

Create a new dataset (knowledge base)

delete_dataset_data

Delete specific data from a dataset

get_app_detail

Get details for a specific AI application

get_dataset_detail

Get details for a specific dataset

get_embeddings

Useful for semantic search outside of FastGPT. Generate text embeddings

list_apps

List AI applications

list_dataset_data

List data items in a dataset

list_datasets

Can filter by parentId or search keyword. List knowledge base datasets

push_dataset_data

Add or update data in a dataset

search_dataset_data

Perform semantic search on a dataset

update_dataset_data

Update existing data in a dataset

Example Prompts for FastGPT in AutoGen

Ready-to-use prompts you can give your AutoGen agent to start working with FastGPT immediately.

"List all my AI applications in FastGPT."

"Search dataset 'ds_123' for 'company refund policy'."

"Create a new dataset named 'Internal Documentation'."

Troubleshooting FastGPT MCP Server with AutoGen

Common issues when connecting FastGPT to AutoGen through the Vinkius, and how to resolve them.

McpWorkbench not found

Install: pip install "autogen-ext[mcp]"

FastGPT + AutoGen FAQ

Common questions about integrating FastGPT MCP Server with AutoGen.

How does AutoGen connect to MCP servers?

Create an MCP tool adapter and assign it to one or more agents in the group chat. AutoGen agents can then call FastGPT tools during their conversation turns.

Can different agents have different MCP tool access?

Yes. AutoGen's role-based architecture lets you assign specific MCP tools to specific agents, so a querying agent has different capabilities than a reviewing agent.