
Connect DocBreach to ChatGPT, Claude and Gemini
Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Give your agent instant access to any API spec or guide.
Developed, maintained, and hosted by Vinkius.
MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED
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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.
Your AI does the work. We keep it safe and sound.
No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.
Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

Each Connector runs inside its own sealed environment.
Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.
One switch stops every agent. Instantly.
One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.
Spending limits that pause instead of surprise.
Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.
Three controls, built into the layer your AI connects through.
Curated set · 5 capabilities
We ship only the actions that matter.
01-03
3 capabilities in this set.
Part of 5 available through DocBreach.
- 01
Docs map
This capability generates a complete table of contents for any given domain. It organizes every documentation page by section so you can pick specific URLs to read later.
- 02
Docs read
This capability converts HTML, JSON, YAML, OpenAPI specs, Postman Collections, PDFs, and llms.txt into clean Markdown. It also extracts related documentation links to help your agent find authentication or getting-started guides.
- 03
Docs search
This capability searches for specific topics within a known documentation site. You just provide the query and the site domain to find exactly what you need.
04-05
2 capabilities in this set.
Part of 5 available through DocBreach.
- 04
Docs discover
This capability finds documentation sources for any service, library, or API. Use descriptive queries like 'stripe API webhooks' to get the best results.
- 05
Docs extract
This capability pulls structured endpoint information from OpenAPI, Swagger, or Postman specifications. You can use a tag to filter for specific API groups.
Real work
What teams actually run
Automated Code Generation
Your agent reads an API spec and immediately writes the integration code.
API Exploration
Quickly map out a new service's endpoints and structure without manual browsing.
Library Onboarding
An agent reads a new library's documentation to understand its usage and syntax.
Documentation Auditing
Extract all endpoints from a spec to verify they match your expected implementation.
Automate a task
Put DocBreach to work on one thing.
Step-by-step automations your AI runs through this Connector: the workflow, the prompts to start with, and the exact capabilities behind each move.
One connector, every AI
DocBreach works with the most popular AI clients.
These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.
Claude
ChatGPT
Gemini
Perplexity
Grok
Microsoft Copilot
Cursor
VS Code
Windsurf
JetBrains
Cline
LangChain
Vercel AI SDK
Lovable
Z.ai
Raycast
Qwen Code
Kimi Code
Le ChatBuilding your own app? The connector is yours to use.
You don't need a client to put DocBreach to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.
Observed, not estimated
1476ms average. Fast in production.
DocBreach is checked daily against the live service.
- Fastest day
- 1220ms
- Slowest day
- 1787ms
- 14-day trend
- Stable+1%
Connect your client
One URL. Every client.
Activate the Connector, copy your link, and paste it into the client you already use. 5 capabilities arrive ready to run.
Preview access · not provider authentication
The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of DocBreach, so you can see the experience inside your AI.
It does not authenticate your account with DocBreach. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.
DocBreach Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_irgtI6t1CMNMo7SoPiRQBNgk7Rz1GQFQBkyR1OUW/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — DocBreach capabilities are ready to use.
{
"mcpServers": {
"docbreach-mcp": {
"url": "https://edge.vinkius.com/vk_preview_irgtI6t1CMNMo7SoPiRQBNgk7Rz1GQFQBkyR1OUW/mcp"
}
}
}
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Step-by-step instructions for each client are in the guide. How to connect
Guided setup for Claude? Set up DocBreach in Claude and other AIs
Who it's for
Built for the work DocBreach owners hand off.
This MCP is built for technical users who need to feed real-time API context into their AI workflows.
- 01
Developers
Use it to find API docs for code generation or to read library manuals during active coding sessions.
- 02
AI Agent Builders
Provide agents with the ability to map entire sites or extract endpoints from specs to build better context.
FAQ
Questions DocBreach owners ask.
- 01
How does DocBreach bypass modern Single Page Application (SPA) barriers?
DocBreach features a built-in hydration engine. Rather than relying on a heavy headless browser, it intercepts and evaluates underlying framework payloads (like __NEXT_DATA__ for Next.js or Docusaurus state) to extract the raw documentation text directly. This makes it blisteringly fast and resource-efficient.
- 02
What documentation formats and frameworks are officially supported?
It natively parses OpenAPI/Swagger specifications, Postman Collections, and standard llms.txt files. For web-based docs, it surgically cleans noise from 12+ major frameworks including Docusaurus, Nextra, VitePress, Mintlify, GitBook, and ReadMe, returning LLM-optimized Markdown.
- 03
Do I need any third-party API keys or paid scraping subscriptions?
Absolutely not. DocBreach is designed to operate completely independently. It accesses public documentation directly via optimized HTTP clients using smart resolution strategies, eliminating the need for proxy services, SaaS subscriptions, or scraping API keys.
- 04
How does this MCP server improve my AI Agent's performance?
AI Agents typically hallucinate when APIs are updated or when facing undocumented endpoints. By equipping your agent with DocBreach, it can autonomously search, map, and read the definitive, up-to-date source of truth before writing a single line of code, ensuring deterministic integrations.
- 05
Can it extract specific endpoints from massive OpenAPI specifications?
Yes! The docs.extract capability is built precisely for this. Instead of loading a 5MB JSON spec into your agent's context window (which wastes tokens and ruins attention), DocBreach parses the spec server-side and allows your agent to query exactly the endpoints and methods it needs.
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Connect DocBreach to Claude, Cursor, ChatGPT & more
