Compatible with every major AI agent and IDE
Get category on ReadMe
Retrieves details for a specific documentation category
Get category docs on ReadMe
Lists all documentation pages under a specific category
Get changelog on ReadMe
Retrieves the full content of a specific changelog post
Get custom page on ReadMe
Retrieves the full content of a custom page
Get doc on ReadMe
Retrieves the full content of a documentation page
Get project on ReadMe
Retrieves details about the ReadMe project
List categories on ReadMe
Lists all documentation categories on ReadMe
List changelogs on ReadMe
Lists all changelog posts
List custom pages on ReadMe
Lists all custom standalone pages
Search docs on ReadMe
Performs a full-text search across all documentation pages
How Vinkius protects your data
Is there a risk of the AI "going crazy" and deleting important company data?
No. With Vinkius, the AI operates on "rails". It can only make the exact moves you authorized in the tool's settings. It cannot invent routes, access other networks in your company, or decide to delete random files. If the action isn't in the approved catalog, the attempt is blocked instantly.
In what format is the document content returned?
All text and page content uses native Markdown format directly fetched from ReadMe's engine. This makes it perfect for the AI to interpret, syntax-highlight, and display naturally within chat or code comments.
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.
What can AI Agents do with ReadMe?
Enable conversational interfaces like ChatGPT and Claude to execute programmatic commands against the ReadMe infrastructure.
Seamless api documentation Integration
Add api documentation functionality to your custom chatbots. The ReadMe MCP handles the payload formatting required for ChatGPT and Claude to interface with developer tools endpoints.
AI-Driven developer portal Workflows
The ReadMe MCP translates LLM intent into specific developer portal actions. Agents like Cursor use this to interface securely with your developer tools infrastructure.
ReadMe. 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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