How do I install Docsie?

Docsie supports both local and remote installation. For local use, install it via the provided package manager and add the configuration to your AI app. For remote access, add the server URL to your MCP configuration.

What credentials does Docsie need?

Docsie requires the following credentials or environment variables: API_KEY. You can find setup instructions on the server detail page.

What AI apps work with Docsie?

Docsie uses the Model Context Protocol (MCP) and works with any MCP-compatible AI app, including Claude, ChatGPT / Codex, Gemini, Copilot, Cursor, and more.

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Docsie MCP Server

by Andrei Arsentev

ProductivityModerate7.8LocalRemoteNew

Free

AI-powered docs that write, organize & scale

About

Docsie MCP brings your documentation workflow directly into Claude. Create, edit, and publish docs without leaving your AI assistant. Convert videos into structured documentation instantly, run compliance analysis on text, audio, and video content, and use semantic search to find exactly what you need across your knowledge base. Whether you're building product docs, SOPs, or technical guides, Docsie MCP makes it faster and smarter - all powered by AI.

Security Report

7.8

Moderate7.8Low Risk

This is a well-structured MCP server with proper OAuth2 authentication, SSRF protection, and secure credential handling. The codebase demonstrates good security practices including input validation, safe URL checking, and proper token management via context variables. No critical vulnerabilities were identified, though a few minor code quality improvements are recommended.

7 files analyzed · 5 issues found

Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.

Permissions Required

This plugin requests these system permissions. Most are normal for its category.

HTTP Network Access

Connects to external APIs or services over the internet.

env_vars

Check that this permission is expected for this type of plugin.

What You'll Need

Set these up before or after installing:

Optional - for local, self-hosted, or shared-access setups only. Cloud users authenticate via OAuth. You can obtain your API key at Settings → Developer → MCP AccessOptional

Environment variable: API_KEY

How to Install & Connect

Available as Local & Remote

This plugin can run on your machine or connect to a hosted endpoint. during install.

Getting Started

Once installed, try these example prompts and explore these capabilities:

1Convert this product demo video into a structured user guide with sections & steps
2Analyze this onboarding video and flag any sections that may not meet GDPR compliance requirements
3Search my Docsie workspace for anything related to our refund policy and summarize the key points
4Create a new article in my Docsie workspace titled 'Getting Started Guide' and add an introduction section

Documentation

View on GitHub

From the project's GitHub README.

Remote MCP server for Anthropic's Connectors Directory. Converts videos into structured documentation using Dokuta AI.

What It Does

Users on Claude can:

Submit a video URL (YouTube, Loom, Vimeo, direct MP4, etc.)
Choose a doc type (user guide, SOP, product docs, policy, blog)
Get structured markdown documentation back

Free tier: Videos up to 5 minutes are processed free. Longer videos require a Docsie account with AI credits.

Architecture

Claude → POST https://mcp.docsie.io/mcp (Bearer token)
              │
              ├─→ Docsie /o2/ (OAuth2 token validation)
              ├─→ Dokuta API (video analysis)
              └─→ Docsie /api/internal/mcp/ (credit deduction)

Transport: Streamable HTTP (MCP spec)
Auth: OAuth2 Authorization Code + PKCE via Docsie's /o2/ provider
Runtime: Python 3.12 + FastMCP + Starlette + uvicorn

MCP Tools

Tool	Description
`analyze_video`	Submit a video URL for documentation generation
`check_job_status`	Poll for progress and retrieve completed results
`list_doc_types`	List available doc types and quality tiers

Local Development

cd mcp-server

# Install dependencies
pip install -e .

# Configure environment
cp .env.example .env
# Edit .env with your Dokuta API key and Docsie internal URL

# Run
uvicorn app.main:app --reload --port 8000

Test endpoints

# Health check
curl http://localhost:8000/health

# OAuth metadata
curl http://localhost:8000/.well-known/oauth-authorization-server

# MCP tool listing (via MCP protocol)
curl -X POST http://localhost:8000/mcp \
  -H "Content-Type: application/json" \
  -d '{"jsonrpc":"2.0","id":"1","method":"tools/list","params":{}}'

Environment Variables

Variable	Description	Default
`MCP_DOCSIE_BASE_URL`	Docsie public URL (for OAuth metadata)	`https://app.docsie.io`
`MCP_DOCSIE_INTERNAL_URL`	Docsie internal URL (for API calls)	`http://docsie-web:8080`
`MCP_DOKUTA_API_URL`	Dokuta video analysis API	`https://app.videodokuta.com/api/v1`
`MCP_DOKUTA_API_KEY`	Dokuta API key	(required)
`MCP_MCP_INTERNAL_API_KEY`	Shared secret for Django internal endpoints	(required)
`MCP_OAUTH2_CLIENT_ID`	OAuth2 client ID for the MCP app	(required)
`MCP_FREE_TIER_MAX_SECONDS`	Max free video duration in seconds	`300`

Deployment (Kubernetes)

Docker images are built and pushed automatically via GitHub Actions on push to main.

# Deploy with Helm (secrets managed via Doppler)
helm upgrade --install mcp-staging helm/docsie-mcp/ \
  -n mcp \
  --set image.tag=v2026.04.06.01 \
  --set doppler.token=$DOPPLER_SERVICE_TOKEN

Django Side Setup

1. Add internal API key to Django settings

In your .env or environment:

MCP_INTERNAL_API_KEY=your-shared-secret-here

2. Register OAuth2 Application

In Django admin at /o2/applications/register/:

Name: Claude MCP Connector
Client type: Public
Authorization grant type: Authorization code
Redirect URIs: (provided by Anthropic during directory registration)
Skip authorization: Yes

3. Internal endpoints (already wired)

GET /api/internal/mcp/user-context/ — token validation + user info
POST /api/internal/mcp/deduct-credits/ — credit deduction

Anthropic Connectors Directory Submission

To submit to the directory, you'll need:

MCP Server URL: https://mcp.docsie.io/mcp
OAuth2 metadata URL: https://mcp.docsie.io/.well-known/oauth-authorization-server
Company name: Docsie Inc.
Description: "Convert videos into structured documentation using AI. Submit a video URL and get back a user guide, SOP, product docs, or blog post."
Logo: Docsie logo (SVG/PNG)
Privacy policy: https://www.docsie.io/privacy-policy/
Terms of service: https://www.docsie.io/terms-of-service/

Submit at: https://console.anthropic.com/dashboard/connectors

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Docsie MCP Server

About

Security Report

Findings (5)

Permissions Required

What You'll Need

How to Install & Connect

Getting Started

Documentation

What It Does

Architecture

MCP Tools

Local Development

Test endpoints

Environment Variables

Deployment (Kubernetes)

Django Side Setup

1. Add internal API key to Django settings

2. Register OAuth2 Application

3. Internal endpoints (already wired)

Anthropic Connectors Directory Submission

Reviews

No reviews yet

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