Integrate Fastn with Claude, Cursor, Chatbots & AI Agents MCP Server
GDPR Free for SubscribersCompatible with every major AI agent and IDE
GeminiArchive workflow on Fastn
Deactivate / archive a flow
Cancel execution on Fastn
Cancel a running execution
Create workflow on Fastn
Create a new flow definition
Execute flow on Fastn
The input object must match the Request Schema defined in the flow trigger. Execute a Fastn flow instantly (API Real-Time Sync)
Get credentials on Fastn
Retrieve stored credentials
Get execution on Fastn
Get full step-by-step execution trace
Get quota daily on Fastn
Daily usage breakdown
Get quota summary on Fastn
Usage summary
Get quota usage on Fastn
Current usage against plan limits
Get workflow on Fastn
Get a flow full specification
List executions on Fastn
List execution history for a tenant
List workflows on Fastn
List all flow definitions for a tenant
Publish workflow on Fastn
Deploy / publish a flow
Rotate credentials on Fastn
Rotate credentials
Store credentials on Fastn
Store connector credentials
Update workflow on Fastn
Update a flow definition
Security & Code Integrity Audit
Every tool in the Fastn MCP Server is continuously audited by the Vinkius Security Engine. We guarantee zero-trust payload isolation, strict data boundaries, and deterministic execution for enterprise-grade AI agents.
How Vinkius protects your data
How does the AI access my passwords and credentials?
It simply doesn't. On Vinkius, your passwords, API keys, and login details are kept in a secure vault. The AI (like ChatGPT or Claude) merely "asks" Vinkius to perform the task. Vinkius opens the door, does the work, and hands the result back to the AI. Your credentials are never seen, read, or learned by the artificial intelligence.
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.
How can I debug a failed flow execution?
You can use list_executions to find the ID of the failed run, then use get_execution to retrieve a full step-by-step trace of what happened during that specific execution.
What can AI Agents do with Fastn?
Integrate Fastn to provide your custom AI agents with direct read and write access to the capabilities listed below.
Autonomous low code via AI
The Fastn integration exposes LLM-friendly schemas for low code. Tools like Cursor can map natural language directly into executable developer tools commands.
AI-Driven workflow automation Workflows
The Fastn server supports direct MCP connections for workflow automation. This provides Claude with the required permissions to execute developer tools functions.
Fastn. 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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