About DocDeploy
DocDeploy converts uploaded documents into indexed Markdown and provides tenant-specific MCP servers for AI agents to search, browse, and read them. Its document pipeline supports varied file formats and section-level retrieval.
Key features
- 01Convert documents into structured Markdown
- 02Process office, web, and data formats
- 03Index sections with navigation markers
- 04Search, browse, and read documents
- 05Tenant-specific MCP tools
Use cases
- 01Make manuals and PDFs searchable by agents
- 02Retrieve a specific document section
- 03Browse an organization's indexed documents
MCP support
Each tenant receives an MCP server with tools to inspect the document manifest, search, list documents, and retrieve full documents or sections.
Configuration
Remote servers need no local install. Pick your client, then copy the config or install in one click.
https://mcp.docdeploy.io/mcpclaude mcp add --transport http io-docdeploy-www https://mcp.docdeploy.io/mcp{"mcpServers":{"io-docdeploy-www":{"type":"http","url":"https://mcp.docdeploy.io/mcp"}}}Open in Cursor{"servers":{"io-docdeploy-www":{"type":"http","url":"https://mcp.docdeploy.io/mcp"}}}Open in VS Code{"mcpServers":{"io-docdeploy-www":{"type":"http","url":"https://mcp.docdeploy.io/mcp"}}}{"mcpServers":{"io-docdeploy-www":{"serverUrl":"https://mcp.docdeploy.io/mcp"}}}Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.
Tools
Details
From the project READMEDocDeploy
Enterprise document intelligence platform. Upload docs, PDFs, manuals, and notes — DocDeploy converts them to indexed Markdown and serves them via per-tenant MCP servers so AI agents can query your knowledge base.
How It Works
Upload → Convert to Markdown → Inject Section Markers → Index → Serve via MCP
- Upload any document (PDF, DOCX, PPTX, XLSX, HTML, TXT, CSV, JSON, XML)
- Convert to clean, structured Markdown with images preserved
- Index sections with navigational markers and full-text search
- Connect AI agents via MCP — they can search, browse, and read your docs
Architecture
┌─────────────────────────────────────────┐
│ apps/app Next.js dashboard │ ← Vercel
│ apps/web Marketing site │ ← Vercel
├─────────────────────────────────────────┤
│ packages/lib Converter pipeline│
│ packages/db Drizzle + Neon │
│ packages/workers Background jobs │ ← Render
│ packages/mcp-server MCP per tenant │ ← Render
└─────────────────────────────────────────┘
Tech Stack
| Layer | Technology |
|---|---|
| Frontend | Next.js 16, Tailwind CSS, Clerk Auth |
| Database | PostgreSQL (Neon), Drizzle ORM |
| Storage | Cloudflare R2 |
| Queue | pg-boss |
| MCP | @modelcontextprotocol/sdk (Streamable HTTP) |
| Hosting | Vercel (frontend), Render (workers + MCP) |
MCP Tools
Each tenant's MCP server exposes 5 tools:
| Tool | Description |
|---|---|
get_manifest | Full document index — start here |
search_documents | Full-text search across all docs and sections |
get_document | Load a full document with section markers |
get_section | Load a specific section by marker |
list_documents | List all available documents |
Document Processing Pipeline
- PDF — pdf-parse v2 with structure inference (chapters, numbered sections, all-caps headings)
- DOCX — mammoth with image extraction to R2
- PPTX — adm-zip XML parsing with slide image extraction
- XLSX — SheetJS with multi-sheet markdown table output
- HTML — Turndown with table preservation and nav/footer stripping
- CSV/TSV — SheetJS for robust quoted field handling
- TXT — Structure inference for unstructured text
- JSON/XML — Formatted code block wrapping
Monorepo Structure
docdeploy/
├── apps/
│ ├── app/ # Dashboard (Next.js)
│ └── web/ # Marketing site (Next.js)
├── packages/
│ ├── db/ # Schema + Drizzle config
│ ├── lib/ # Converter, markers, R2, token counter
│ ├── mcp-server/ # MCP server (stdio + HTTP)
│ └── workers/ # Background document processor
├── render.yaml # Render blueprint
├── turbo.json # Turborepo config
└── package.json # Workspace root
Development
# Install dependencies
npm install
# Run the dashboard locally
npm run dev:app
# Run the marketing site
npm run dev:web
Environment Variables
See .env.example for the full list. Required:
DATABASE_URL— Neon PostgreSQL connection stringNEXT_PUBLIC_CLERK_PUBLISHABLE_KEY/CLERK_SECRET_KEY— Clerk authR2_ACCOUNT_ID/R2_ACCESS_KEY_ID/R2_SECRET_ACCESS_KEY— Cloudflare R2R2_BUCKET_NAME/R2_PUBLIC_URL— R2 bucket configMCP_API_KEY— Per-tenant MCP server auth (Render only)
License
Proprietary — Copyright (c) 2026 MR Dula Enterprise, LLC. All rights reserved.
Contact: [email protected]
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.