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 Google ADK 12 tools — connect in under 2 minutes

Name: FastGPT
Availability: InStock
Author: Vinkius

google.github.io/adk-docs/tools/mcp-tools

Built by Vinkius GDPR 12 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add FastGPT as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

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

from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="fastgpt_agent",
    instruction=(
        "You help users interact with FastGPT "
        "using 12 available tools."
    ),
    tools=[mcp_tools],
)

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.

Google ADK natively supports FastGPT as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 12 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

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 Google ADK 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 Google ADK via MCP

Follow these steps to integrate the FastGPT MCP Server with Google ADK.

Install Google ADK

Run pip install google-adk

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Create the agent

Save the code above and integrate into your ADK workflow

Explore tools

The agent will discover 12 tools from FastGPT via MCP

Why Use Google ADK with the FastGPT MCP Server

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

Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with FastGPT

Production-ready features like session management, evaluation, and deployment come built-in. not bolted on

Seamless integration with Google Cloud services means you can combine FastGPT tools with BigQuery, Vertex AI, and Cloud Functions

FastGPT + Google ADK Use Cases

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

Enterprise data agents: ADK agents query FastGPT and cross-reference results with internal databases for comprehensive analysis

Multi-modal workflows: combine FastGPT tool responses with Gemini's vision and language capabilities in a single agent

Automated compliance checks: schedule ADK agents to query FastGPT regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including FastGPT

FastGPT MCP Tools for Google ADK (12)

These 12 tools become available when you connect FastGPT to Google ADK 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 Google ADK

Ready-to-use prompts you can give your Google ADK 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 Google ADK

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

McpToolset not found

Update: pip install --upgrade google-adk

FastGPT + Google ADK FAQ

Common questions about integrating FastGPT MCP Server with Google ADK.

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.