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FastGPT

FastGPT MCP Server

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Manage FastGPT Knowledge Bases — automate dataset creation, document ingestion, and RAG search directly from any AI agent.

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FastGPT
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What is the FastGPT MCP Server?

The FastGPT MCP Server gives AI agents like Claude, ChatGPT, and Cursor direct access to FastGPT via 12 tools. Manage FastGPT Knowledge Bases — automate dataset creation, document ingestion, and RAG search directly from any AI agent. Powered by the Vinkius - no API keys, no infrastructure, connect in under 2 minutes.

Built-in capabilities (12)

chat_completionscreate_datasetdelete_dataset_dataget_app_detailget_dataset_detailget_embeddingslist_appslist_dataset_datalist_datasetspush_dataset_datasearch_dataset_dataupdate_dataset_data

Tools for your AI Agents to operate FastGPT

Ask your AI agent "List all my AI applications in FastGPT." and get the answer without opening a single dashboard. With 12 tools connected to real FastGPT data, your agents reason over live information, cross-reference it with other MCP servers, and deliver insights you would spend hours assembling manually.

Works with Claude, ChatGPT, Cursor, and any MCP-compatible client. Powered by the Vinkius - your credentials never touch the AI model, every request is auditable. Connect in under two minutes.

Why teams choose Vinkius

One subscription gives you access to thousands of MCP servers - and you can deploy your own to the Vinkius Edge. Your AI agents only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure and security, zero maintenance.

Build your own MCP Server with our secure development framework →

Vinkius works with every AI agent you already use

…and any MCP-compatible client

CursorClaudeOpenAIVS CodeCopilotGoogleLovableMistralAWSCursorClaudeOpenAIVS CodeCopilotGoogleLovableMistralAWS

FastGPT MCP Server capabilities

12 tools
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

What the FastGPT MCP Server unlocks

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.

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

How it works

1. Subscribe to this server
2. Set up FastGPT (cloud or self-hosted)
3. Navigate to your App settings and enter the API Access section
4. Generate an API Key
5. Identify your Base URL (e.g., https://api.fastgpt.in for cloud)
6. Insert both into the fields below to start managing your RAG pipelines.

Who is this for?

  • Knowledge Engineers — automate the ingestion of documentation across multiple datasets
  • RAG Developers — debug semantic search results and optimize chunking strategies programmatically
  • System Integrators — build complex AI workflows that require dynamic knowledge base management

Frequently asked questions about the FastGPT MCP Server

01

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.

02

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.

03

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.

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