Self Hosted
Deploy doc2mcp inside your own VPC. Your docs and your generated MCP servers never leave your perimeter.
Paste a docs URL—Mintlify, Docusaurus, GitHub, OpenAPI—and get a hosted, Cursor-ready MCP server in seconds. No setup, no local scripts.
<60s
docs → MCP
PIPELINE
1 URL
paste & go
INPUT
Hosted
no install
REMOTE
5+
MCP clients
EXPORTS
Built for the modern AI ecosystem
One MCP server, ready to plug into every major AI editor and agent runtime.
Plus any MCP-compatible AI tool via manual configuration.
From crawl to retrieval to deployment — the full stack between your docs and an AI agent.
Automatically understands documentation hierarchy and structure — Mintlify, Docusaurus, Swagger, GitBook, raw markdown.
Generate MCP servers without writing MCP code. Tools, workflows, auth, hosting — done.
// stripe/create_payment_intent
type Input = {
amount: number;
currency: string;
metadata?: Record<string, string>;
};
Improve AI coding accuracy and reduce hallucinations with semantic, schema-aware retrieval.
Keep documentation synchronized automatically — your MCP server tracks the source.
Works across the modern MCP ecosystem — Cursor, Claude, VS Code, Windsurf, OpenAI Agents.
Instant MCP configuration generation. Copy a JSON snippet, paste into your editor, done.
"stripe-mcp": {
"command": "npx",
"args": [
"-y",
"doc2mcp-server@latest",
"--key=st_3a1"
]
}
<TESTIMONIALS>
The compound effect of giving every agent — internal or customer- facing — structured, current, AI-ready documentation.
Agents respond from your real docs — not stale training data — so generated code actually compiles and ships.
Schema-aware retrieval narrows answers to the right endpoint, the right version, the right example.
Stop hand-writing tool wrappers per product. Doc2MCP generates them from documentation, automatically.
Live sync keeps the MCP server tracking your source — without redeploys, manual diffs, or token rotation.
Replace prompt stuffing with structured, retrievable, AI-optimized context — usable across every MCP client.
From “read docs” to “write integration” in minutes — across Cursor, Claude, Windsurf, OpenAI Agents.
Convert internal runbooks, ADRs, RFCs, and product docs into a queryable knowledge layer for your agents.
Stop pasting docs into prompts and debugging hallucinations — your team’s time goes back to product.
From public APIs to private wikis — doc2mcp converts any documentation surface into a hosted MCP server your agents can actually use.
Available Tools (23):
· create_charge
· retrieve_customer
· list_payment_intents
Build it by hand and you ship a one-off, brittle integration. Use Doc2MCP and you ship infrastructure — structured, current, and ready for every agent in your stack.
Manual MCP development
DIY · slow · brittle
Doc2MCP
Infrastructure · automated · current
Setup time
Maintenance
Documentation understanding
Updates
Retrieval layer
AI readiness
Deployment
Support
The same MCP layer your engineers love — hardened with the controls, audit trails, and deployment options enterprise teams require.
Deploy doc2mcp inside your own VPC. Your docs and your generated MCP servers never leave your perimeter.
Single-tenant infrastructure on AWS, GCP, or Azure with bring-your-own-key encryption for every artifact.
SSO via SAML / OIDC, RBAC for projects + workspaces, and short-lived MCP tokens scoped to a specific team.
Every MCP query is logged with actor, tool, and document context — exportable to Datadog, Splunk, or S3.
Organize projects by team, share MCP servers across squads, and bill at the org level — no per-seat surprises.
Bring your own crawler, embedder, or post-processing step via webhook — doc2mcp orchestrates the rest.
See which tools your agents actually call, which docs are hot, and where retrieval quality is degrading.
SOC 2-ready controls, signed MCP token rotation, prompt-injection guards, and per-project secret isolation.
SOC 2 in progress
GDPR-ready data handling
EU + US regions
AI agents are becoming the next application layer. MCP is emerging as the standard protocol for tool access. Millions of APIs and documentation sites are not MCP-ready — doc2mcp bridges that gap automatically.
“Documentation is becoming the knowledge layer for AI agents.”
Cursor, Claude, and Windsurf now write the majority of new code at AI-native startups. The interface to software is no longer a UI — it's an agent.
of new code at AI-native teams ships via agents
Anthropic, OpenAI, and the broader ecosystem have converged on the Model Context Protocol as the canonical way agents discover and use tools.
servers listed in the official MCP Registry
Millions of API references, SDKs, and developer portals were written for humans. There is no hosted, semantic, agent-ready layer in front of them.
of public docs expose a production MCP
We turn any docs URL into a hosted, agent-ready MCP server in under a minute — no manual coding, no infrastructure, no per-vendor lock-in.
from URL paste to a Cursor-ready MCP
Stats reflect internal observations across AI-native teams · May 2026
Install the doc2mcp CLI to convert docs, generate MCPs, and wire them into Cursor, VS Code, Claude, and Windsurf — all from your terminal with the same limits as the web app.
doc2mcp login · doc2mcp <docs-url>
doc2mcp — zsh
For developers who want to generate and self-host MCPs — and for companies publishing official MCP infrastructure for their customers and AI agents. Token-based access, hosted endpoints, and custom domains included.
For trying doc2mcp and one-off experiments.
For individual developers self-hosting MCPs.
Charged once as ₹299
For startups & API companies shipping official MCP.
Charged once as ₹999
For companies operating official MCP infrastructure.
Charged once as ₹2,999
Unlimited MCP reads included · Conversions run once per docs portal · Cancel anytime.
Everything developers and teams ask before generating MCP servers.
The Model Context Protocol is an open standard from Anthropic that lets AI agents (Cursor, Claude Desktop, Windsurf, OpenAI Agents) discover and call tools over a uniform JSON-RPC interface. doc2mcp produces fully compliant MCP servers your agents can connect to with a URL + Bearer token.
Paste a documentation URL. We crawl the site (Mintlify, Docusaurus, Swagger, GitBook, plain HTML — all supported), preserve code blocks, run an AI understanding pass that detects auth, workflows, and endpoint groups, and generate a hosted MCP server with semantic tools — typically in under 60 seconds.
Anything that speaks MCP — Cursor, Claude Desktop, VS Code, Windsurf, OpenAI Agents, Cline, Zed, and the broader MCP client ecosystem. We provide ready-to-paste config snippets for every major client in your project dashboard.
Yes. Pro and Team plans support private projects with authenticated crawling and per-MCP Bearer tokens. Enterprise customers can self-host doc2mcp inside their VPC with SSO, RBAC, and audit logging — your docs and tokens never leave your perimeter.
Free plans run on-demand refreshes. Pro plans auto-resync every 24h, Team plans every 6h, and Enterprise plans support webhook-triggered instant updates. We use content-hash diffing so only changed pages get re-crawled.
Yes. We offer fully self-hosted deployments on AWS, GCP, or Azure with bring-your-own-key encryption, SSO via SAML/OIDC, audit logs, and custom retention policies. Reach out via the contact form to start a security review.
Still curious? Talk to the founders →
Built for the people building the agentic web.
5+
MCP clients supported
v0.1
Live in the MCP Registry
< 60s
Docs to a live MCP