Docsie
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
Explore
- Converts videos from YouTube, Loom, Vimeo, direct MP4, etc. into documentation
- Supports doc types: user guide, SOP, product docs, policy, blog
- Free tier for videos up to 5 minutes; longer videos require a Docsie AI credits account
- Provides three MCP tools: analyze_video, check_job_status, list_doc_types
- Uses OAuth2 Authorization Code + PKCE for secure authentication
- Deployed via Docker and Kubernetes with automated CI/CD via GitHub Actions
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
DocsieCommand (node, npx, python, etc.)Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
pip install -e .
cp .env.example .env
| 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 |
Docker images are built and pushed automatically via GitHub Actions on push to main.
helm upgrade --install mcp-staging helm/docsie-mcp/ \
-n mcp \
--set image.tag=v2026.04.06.01 \
--set doppler.token=$DOPPLER_SERVICE_TOKEN
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
| 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 |
curl -X POST http://localhost:8000/mcp \
-H "Content-Type: application/json" \
-d '{"jsonrpc":"2.0","id":"1","method":"tools/list","params":{}}'
```
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"docsie": {
"docsie": {
"command": "npx",
"args": [
"-y",
"mcp-remote",
"https://app.docsie.io/mcp"
],
"env": {
"API_KEY": "YOUR_API_KEY"
}
}
}
}
}McpServers
{
"docsie": {
"command": "npx",
"args": [
"-y",
"mcp-remote",
"https://app.docsie.io/mcp"
],
"env": {
"API_KEY": "YOUR_API_KEY"
}
}
}Remote MCP server for Anthropic's Connectors Directory. Converts videos into structured documentation using Dokuta AI.
What It Does
Users on Claude can:
1. Submit a video URL (YouTube, Loom, Vimeo, direct MP4, etc.)
2. Choose a doc type (user guide, SOP, product docs, policy, blog)
3. 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
```bash
cd mcp-server
Sign in to leave a review
Use Google, GitHub, or an email account so ratings stay tied to real people.
No reviews posted yet.
