Compatible with every major AI agent and IDE
Chat completions on FastGPT
Supports chatId for context tracking, streaming, and detailed intermediate steps. Send a message to a FastGPT application
Create dataset on FastGPT
Create a new dataset (knowledge base)
Delete dataset data on FastGPT
Delete specific data from a dataset
Get app detail on FastGPT
Get details for a specific AI application
Get dataset detail on FastGPT
Get details for a specific dataset
Get embeddings on FastGPT
Useful for semantic search outside of FastGPT. Generate text embeddings
List apps on FastGPT
List AI applications
List dataset data on FastGPT
List data items in a dataset
List datasets on FastGPT
Can filter by parentId or search keyword. List knowledge base datasets
Push dataset data on FastGPT
Add or update data in a dataset
Search dataset data on FastGPT
Perform semantic search on a dataset
Update dataset data on FastGPT
Update existing data in a dataset
How Vinkius protects your data
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.
What happens if the underlying API rate limits my agent?
Our edge infrastructure automatically handles backoffs, queueing, and throttling. If an AI agent sends too many erratic requests, Vinkius manages the rate limits gracefully, ensuring your backend doesn't crash.
What if the AI ends up reading customer data or confidential information?
We have a built-in digital "bodyguard" called DLP (Data Loss Prevention). If a tool fetches data and the response contains social security numbers, credit cards, or personal customer info, Vinkius magically blocks and erases that information before it is delivered to the AI. The AI works only with what is strictly necessary, and your sensitive data never leaks.
Does the AI train on my tools or API data?
No. Vinkius enforces a strict Zero-Retention policy. Your data simply passes through our secure servers to complete the requested action and is instantly forgotten. Nothing you do here is ever stored, logged, or used to train any artificial intelligence.
Triggering FastGPT via Natural Language
This integration supports direct MCP execution, enabling your chatbots to query and modify data within these specific environments.
Scaling fastgpt via MCP
Integrate fastgpt features into your LLM framework using FastGPT. The MCP server ensures precise command execution across your data management stack.
Execute rag engine Commands with AI
The FastGPT MCP manages API routing for rag engine. This enables AI agents like Claude Code to execute structured data management queries.
FastGPT. Runs on everything.
From IDE to framework. Every connection governed by Vinkius.
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
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