Documentation infrastructure for AI agents

Turn DocumentationInto AI Infrastructure

Give Cursor, Claude, OpenAI Agents, Windsurf, and AI systems instant access to your APIs, SDKs, and product documentation. Paste a docs URL and generate a production-ready MCP server in minutes.

Works with Cursor, Claude Desktop, VS Code, Windsurf, OpenAI Agents and every MCP-compatible tool.

<60s

docs → MCP

PIPELINE

1 URL

paste & go

INPUT

Hosted

no install

REMOTE

5+

MCP clients

EXPORTS

Ecosystem

Built for the modern AI ecosystem

One MCP server, ready to plug into every major AI editor and agent runtime.

  • Cursor
  • Claude Desktop
  • VS Code
  • Claude Code
  • Windsurf
  • Codex
  • Gemini CLI
  • ChatGPT
  • Zed

Plus any MCP-compatible AI tool via manual configuration.

Real example

See it in action

Watch how doc2mcp turns the entire Stripe documentation into an AI-ready MCP server — without writing a line of integration code.

  • Stripe Documentation

    docs.stripe.com · 1,284 pages

  • Doc2MCP crawls content

    Auto-discovers APIs, guides, SDKs

  • Processes APIs + guides

    Structured chunks, schemas, examples

  • Generates MCP server

    23 tools · 6 workflows · 1 endpoint

  • Connects to Cursor

    One-click config · remote MCP

  • AI understands Stripe instantly

    No hallucinations · current APIs

No prompt stuffing.

No manual tool creation.

No hallucinated integrations.

HOW IT WORKS

Documentation in.
AI infrastructure out.

Five steps from a URL to a production-ready MCP server, plugged into your agent of choice.

step I · paste documentation url
https://docs.stripe.com
https://docs.langchain.com

# doc2mcp toggle ON in chat
CursorClaudeVS CodeWindsurfOpenAI Agents
Platform

One platform. Every layer of AI documentation infrastructure.

From crawl to retrieval to deployment — the full stack between your docs and an AI agent.

6 capabilities · 1 endpoint

Smart Documentation Crawling

Automatically understands documentation hierarchy and structure — Mintlify, Docusaurus, Swagger, GitBook, raw markdown.

docs.stripe.com · sitemapcrawling
  • /docs
  • introduction.mdx
  • quickstart.mdx
  • /api
  • customers.mdx
  • payment_intents.mdx
  • webhooks.mdx
  • /sdks
  • node.mdx
  • python.mdx
pages indexed1,284

Production Ready MCP Generation

Generate MCP servers without writing MCP code. Tools, workflows, auth, hosting — done.

$ doc2mcp generate ./stripe-docs

→ crawled 1,284 pages

→ structured 4,182 chunks

→ tools: 23 · workflows: 6

✓ mcp ready · hosted

Agent Optimized Retrieval

Improve AI coding accuracy and reduce hallucinations with semantic, schema-aware retrieval.

createCustomer0.94
retrievePaymentIntent0.89
listSubscriptions0.82

Live Documentation Sync

Keep documentation synchronized automatically — your MCP server tracks the source.

Multi-Agent Compatibility

Works across the modern MCP ecosystem — Cursor, Claude, VS Code, Windsurf, OpenAI Agents.

CursorClaudeVS CodeWindsurfOpenAI

One Click Export

Instant MCP configuration generation. Copy a JSON snippet, paste into your editor, done.

{
  "mcpServers": {
    "stripe": {
      "url": "https://…",
      "headers": { "Authorization": "Bearer …" }
    }
  }
}
Outcomes

Why teams use Doc2MCP

The compound effect of giving every agent — internal or customer- facing — structured, current, AI-ready documentation.

  • Reduce hallucinated code

    Agents respond from your real docs — not stale training data — so generated code actually compiles and ships.

  • Improve AI coding accuracy

    Schema-aware retrieval narrows answers to the right endpoint, the right version, the right example.

  • Avoid manual MCP development

    Stop hand-writing tool wrappers per product. Doc2MCP generates them from documentation, automatically.

  • Keep documentation updated

    Live sync keeps the MCP server tracking your source — without redeploys, manual diffs, or token rotation.

  • Give AI agents structured context

    Replace prompt stuffing with structured, retrievable, AI-optimized context — usable across every MCP client.

  • Ship integrations faster

    From “read docs” to “write integration” in minutes — across Cursor, Claude, Windsurf, OpenAI Agents.

  • Scale internal knowledge systems

    Convert internal runbooks, ADRs, RFCs, and product docs into a queryable knowledge layer for your agents.

  • Reclaim engineering hours

    Stop pasting docs into prompts and debugging hallucinations — your team’s time goes back to product.

Use cases

Infrastructure for every AI-native team.

From public APIs to private wikis — doc2mcp converts any documentation surface into a hosted MCP server your agents can actually use.

For API Companies

Turn API docs into AI-native integrations.

Every API endpoint becomes a semantic tool your customers' agents can call directly — no SDK, no glue code, no support tickets.

  • OpenAPI, Swagger, and Postman collections
  • Auto-generated auth + workflow primitives
  • One MCP URL, distributed to every customer's IDE
For SaaS Platforms

Let AI agents understand your product.

Ship your docs as an MCP server alongside your dashboard. Cursor, Claude, and Windsurf can now answer questions about your product with first-party context.

  • Public docs + private knowledge bases
  • Versioned per release, auto-resynced
  • Reduce support load by ~30% with agentic Q&A
For Internal Teams

Convert internal docs into MCP infrastructure.

Notion, Confluence, Markdown wikis — pipe them into a private MCP your engineers' agents can query without exposing data to third parties.

  • Self-hosted or single-tenant deployments
  • SSO + role-based access control
  • Audit logs for every agent query
For Open Source

Give coding agents accurate project context.

Drop your GitHub docs URL. Every contributor's Cursor or Claude instantly understands your project's architecture, API surface, and conventions.

  • GitHub-native — works with raw markdown + READMEs
  • Free tier for public projects
  • Public MCP listing in the official Registry
SOC 2 ready architecture
ASI1-native indexing
Agent-shaped toolkits
< 60s URL → MCP
Comparison

Manual MCP development vs Doc2MCP

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

Days to weeks of engineering
Minutes from a docs URL

Maintenance

Manual diffs on every API change
Continuous, automated sync

Documentation understanding

You read it, model guesses
Structured, schema-aware context

Updates

Redeploy, regenerate tools
Live — same endpoint, fresh content

Retrieval layer

DIY embeddings + glue code
Semantic + workflow-aware out of the box

AI readiness

Endpoint-shaped tools
LLM-shaped tools and workflows

Deployment

Self-host a server per integration
One hosted remote MCP, multi-tenant

Support

Internal, ad hoc
Dedicated team, audit logs, SLAs
Market matrix

And how we compare to other MCP tooling

Capability
doc2mcpAI-native docs-to-MCP, the right way.
ArcMCPHosted search + get_page over Arc docs.
mcp-forgeManaged pre-built MCP servers + OpenAPI CLI.
Mintlify MCPSearch/edit Mintlify-hosted pages only.
StainlessRaw MCP servers from your OpenAPI spec.

Smart Tools

Endpoints compressed into semantic, AI-friendly toolkits (not raw POST /users).

YesPartialPartialNoNo

Workflow AI

Infers auth, payment, upload, webhook, and CRUD flows — and surfaces them as agents.

YesNoPartialNoNo

Visual Graph

React-Flow graph of endpoint relationships, auth flow, and tool dependencies.

YesNoNoNoNo

Live Playground

Test generated tools, simulate workflows, inspect outputs in-browser before shipping.

YesNoNoNoNo

AI Understanding Score

Docs quality score · workflow confidence · auth confidence · MCP quality score.

YesPartialNoNoNo

Live Processing UI

Streaming terminal: crawl → analyze → detect auth → compress → workflows → MCP.

YesNoNoNoNo

Multi-Docs Engine

Auto-detects Mintlify, Docusaurus, Swagger/OpenAPI, Markdown, GitBook, Postman.

YesNoPartialPartialPartial

ASI1-native

Built on ASI1 end-to-end. No OpenAI/Anthropic lock-in for the index layer.

YesNoNoNoNo
Semantic

Tools, not endpoints

Endpoints group into User Management, Billing, Webhooks. Tools are LLM-shaped, not REST-shaped.

Inferred

Workflow AI engine

Customer Support Agent · Billing Agent · GitHub Automation · CRM Workflow — generated from your docs.

Live

Real-time processing

Watch crawl, parse, detect auth, compress endpoints, build MCP — all streaming in real time.

Deep dive

What each tool actually does

Researched from each vendor's own site, GitHub, and docs in May 2026. No marketing fluff — just scope, strengths, and honest gaps.

ArcMCP

Single-vendor docs MCP

Hosted MCP for the Arc Network documentation — search and get_page only.

pricing · Free, scoped to Arc docs only

Where it wins

  • Zero setup — just add the HTTP URL to Cursor / Claude
  • No auth required for Arc docs
  • Works out of the box for Arc-specific questions

Where it falls short

  • Only Arc Network docs, not your docs or any external API
  • Exposes only two generic tools (search, get_page), no semantic toolkits
  • No workflow inference, no playground, no API graph

mcp-forge

Managed servers + OpenAPI/docs CLI

Managed catalog of pre-built MCP servers (WordPress, Supabase, etc.) plus a coming-soon OpenAPI generator.

pricing · From $9/mo per server · $25/mo all-access

Where it wins

  • Subscription-managed MCPs for common SaaS — copy config & go
  • Auto-updating via npm registry, built on Stainless under the hood
  • Open-source CLI variant supports OpenAPI + docs URL → MCP with AI curation

Where it falls short

  • Hosted catalog only covers ~7 popular SaaS, not arbitrary docs URLs
  • OpenAPI flow is CLI-driven, no live processing UI or visual graph
  • No understanding score, no playground, no remote MCP for your own docs

Mintlify MCP

Mintlify-hosted docs only

Two MCPs scoped to docs already hosted on Mintlify — one read, one write.

pricing · Included in Mintlify plans

Where it wins

  • Tight integration with Mintlify pages, branches, and pull requests
  • Lets AI agents edit pages, restructure navigation, open PRs
  • Read MCP is auto-generated alongside published docs

Where it falls short

  • Only works if your docs are already on Mintlify
  • Tools mirror docs primitives (search, read, edit) — not API workflows
  • No semantic toolkit for arbitrary REST/OpenAPI, no playground, no graph

Stainless

OpenAPI → MCP for API owners

Generates SDKs and MCP servers from your OpenAPI spec — endpoint-shaped.

pricing · Custom — built around SDK plans

Where it wins

  • Strong schema validation and clean codegen for large OpenAPI specs
  • Used by Modern Treasury, Scorecard and others for production remote MCPs
  • Excellent fit if you already maintain a clean OpenAPI spec

Where it falls short

  • Requires an OpenAPI spec — can't ingest docs URLs, Mintlify, or GitBook
  • Tools mirror endpoints 1:1 — no semantic compression or workflow inference
  • No public playground, no understanding score, no live processing UI

Tools per project

8–25

vs raw endpoint count

Time to live MCP

< 60s

from URL paste to Cursor

Inference scopes

6+

auth · payment · upload · webhook · crud

Sources: ArcMCP docs · mcp-forge.org & lorenzosaraiva/mcpforge · Mintlify MCP docs · Stainless MCP portal · evaluated May 2026.

Enterprise

Enterprise-ready
AI infrastructure.

The same MCP layer your engineers love — hardened with the controls, audit trails, and deployment options enterprise teams require.

Self Hosted

Deploy doc2mcp inside your own VPC. Your docs and your generated MCP servers never leave your perimeter.

Private Deployments

Single-tenant infrastructure on AWS, GCP, or Azure with bring-your-own-key encryption for every artifact.

Access Control

SSO via SAML / OIDC, RBAC for projects + workspaces, and short-lived MCP tokens scoped to a specific team.

Audit Logs

Every MCP query is logged with actor, tool, and document context — exportable to Datadog, Splunk, or S3.

Team Workspaces

Organize projects by team, share MCP servers across squads, and bill at the org level — no per-seat surprises.

Custom Pipelines

Bring your own crawler, embedder, or post-processing step via webhook — doc2mcp orchestrates the rest.

Usage Analytics

See which tools your agents actually call, which docs are hot, and where retrieval quality is degrading.

Enterprise Security

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

Why now

Why this matters right now.

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.”
— The thesis behind Doc2MCP
67%

Agents are the new interface.

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

5,000+

MCP is becoming the standard.

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

< 1%

Most docs are not MCP-ready.

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

< 60s

doc2mcp closes the gap.

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

CLI · coming soon

The whole pipeline,
from your terminal.

Coming soon: a first-class command line for doc2mcp. Convert docs, regenerate MCPs, and wire them into Cursor, Claude, and Windsurf — all scriptable, all in CI.

  • One command from docs URL to live MCP
  • Connect editors without leaving the terminal
  • Run conversions and syncs straight from CI
Get early access →

npm i -g doc2mcp · soon

doc2mcp — zsh

$ n
Trust

Built for the people building the agentic web.

  • Built for AI-native developers
  • Designed for agent workflows
  • Helping teams make docs AI-accessible
We stopped pasting docs into prompts. Our agents finally know what our APIs actually do — across every editor in our stack.
— Early Doc2MCP customer · AI infra team
  • 5 +

    MCP clients supported

  • v0.1

    Live in the MCP Registry

  • ASI1

    AI engine under the hood

Pricing

Simple, builder-friendly pricing.

Every plan ships the same remote MCP. Bigger plans crawl more pages and re-crawl more often.

Currency

Auto-detected from your location · switch any time

Free

For tinkering, demos, and one-off experiments.

$0forever · no card
  • 5 MCP conversions / month
  • Up to 50 pages per docs site
  • Remote HTTP MCP for Cursor + Claude
  • ask_documentation with ASI1
  • Community support
Start free

Starter

For solo devs shipping side-projects.

$3.99/mo

Charged once as $3.99 · USD

  • 50 MCP conversions / month
  • Up to 150 pages per docs site
  • Remote HTTP MCP for Cursor + Claude + Windsurf
  • Semantic toolkits + workflow inference
  • Public projects
  • Community support
Most popular

Pro

For builders shipping AI-native products.

$14.99/mo

Charged once as $14.99 · USD

  • Unlimited MCP conversions
  • Up to 750 pages per docs site
  • Workflow AI (auth, payment, upload, webhook flows)
  • Visual API graph + MCP playground
  • Auto re-crawl every 24h · private projects
  • Email support

Team

For teams operating internal docs at scale.

$39.99/mo

Charged once as $39.99 · USD

  • Everything in Pro
  • Up to 2,500 pages per docs site
  • Auto re-crawl every 6h
  • 5 teammates · role-based access
  • Custom domain for MCP endpoints
  • Priority support (24h SLA)

All plans include unlimited MCP read calls from Cursor. Conversions are the crawl + analyze step that runs once per docs site. Cancel anytime.

FAQ

Questions, answered.

Everything builders ask before shipping with doc2mcp.

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 ASI1 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 →

Ship in minutes

Make your documentation AI-native.

Stop building MCP servers manually. Generate AI-ready infrastructure directly from documentation — and let every agent your team uses speak the same language.

Free forever tier< 60s to first MCPASI1 under the hood