Turn Weeks of Documentation Research into Hours of Productive Development
Perfect For • Features • Why DevDocs • Getting Started • Scripts • Compare to FireCrawl • Discord
Skip weeks of reading documentation and dealing with technical debt. Implement ANY technology faster by letting DevDocs handle the heavy lifting of documentation understanding.
Pull entire contents of websites with Smart Discovery of Child URLs up to level 5. Perfect for both internal and external website documentation with intelligent crawling.
Leverage internal documentation with built-in MCP servers and Claude integration for intelligent data querying. Transform your team's knowledge base into an actionable resource.
DevDocs + VSCode(cline) + Your Idea = Ship products fast with ANY technology. No more getting stuck in documentation hell when building your next big thing.
- Smart Depth Control: Choose crawl depth from 1-5 levels
- Automatic Link Discovery: Finds and categorizes all related content
- Selective Crawling: Pick exactly what you want to extract
- Child URL Detection: Automatically discovers and maps website structure
- Parallel Processing: Crawl multiple pages simultaneously
- Smart Caching: Never waste time on duplicate content
- Lazy Loading Support: Handles modern web apps effortlessly
- Rate Limiting: Respectful crawling that won't overload servers
- Clean Extraction: Get content without the fluff
- Multiple Formats: Export to MD or JSON for LLM fine-tuning
- Structured Output: Logically organized content
- MCP Server Integration: Ready for AI processing
- Error Recovery: Auto-retry on failures
- Full Logging: Track every operation
- API Access: Integrate with your tools
- Team Management: Multiple seats and roles
Documentation is everywhere and LLMs are OUTDATED in their knowledge. Reading it, understanding it, and implementing it takes weeks of research and development even for senior engineers. We cut down that time to hours.
DevDocs brings documentation to you. Point it at any tech documentation URL, and watch as it:
- Discovers all related pages to that technology
- Extracts meaningful content without the fluff
- Organizes information logically inside an MCP server ready for your LLM to query
- Presents it in a clean, searchable format in MD or JSON for finetuning LLM purpose
🔥 We want anyone in the world to have the ability to build amazing products quickly using the most cutting edge LLM technology.
| Feature | DevDocs | Firecrawl |
|---|---|---|
| Free Tier | Unlimited pages | None |
| Starting Price | Free Forever | $16/month |
| Enterprise Plan | Custom | $333/month |
| Crawl Speed | 1000/min | 20/min |
| Depth Levels | Up to 5 | Limited |
| Team Seats | Unlimited | 1-5 seats |
| Export Formats | MD, JSON, LLM-ready MCP servers | Limited formats |
| API Access | Coming Soon | Limited |
| Model Context Protocol Integration | ✅ | ❌ |
| Support | Priority Available via Discord | Standard only |
| Self-hosted (free use) | ✅ | ❌ |
DevDocs is designed to be easy to use with Docker, requiring minimal setup for new users.
- Docker installed on your system
- Git for cloning the repository
For Mac/Linux users:
# Clone the repository
git clone https://github.com/cyberagiinc/DevDocs.git
# Navigate to the project directory
cd DevDocs
# Configure environment variables
# Copy the template file to .env
cp .env.template .env
# Ensure NEXT_PUBLIC_BACKEND_URL in .env is set correctly (e.g., http://localhost:24125)
# This allows the frontend (running in your browser) to communicate with the backend service.
# Start all services using Docker
./docker-start.shFor Windows users: Experimental Only (Not Tested Yet)
# Clone the repository
git clone https://github.com/cyberagiinc/DevDocs.git
# Navigate to the project directory
cd DevDocs
# Configure environment variables
# Copy the template file to .env
copy .env.template .env
# Ensure NEXT_PUBLIC_BACKEND_URL in .env is set correctly (e.g., http://localhost:24125)
# This allows the frontend (running in your browser) to communicate with the backend service.
# Prerequisites: Install WSL 2 and Docker Desktop
# Docker Desktop for Windows requires WSL 2. Please ensure you have WSL 2 installed and running first.
# 1. Install WSL 2: Follow the official Microsoft guide: https://learn.microsoft.com/en-us/windows/wsl/install
# 2. Install Docker Desktop for Windows: Download and install from the official Docker website. Docker Desktop includes Docker Compose.
# Start all services using Docker
docker-start.batNote for Windows Users
If you encounter permission issues, you may need to run the script as administrator or manually set permissions on the logs, storage, and crawl_results directories. The script uses the
icaclscommand to set permissions, which might require elevated privileges on some Windows systems.Manually Setting Permissions on Windows:
If you need to manually set permissions, you can do so using either the Windows GUI or command line:
Using Windows Explorer:
- Right-click on each directory (logs, storage, crawl_results)
- Select "Properties"
- Go to the "Security" tab
- Click "Edit" to change permissions
- Click "Add" to add users/groups
- Type "Everyone" and click "Check Names"
- Click "OK"
- Select "Everyone" in the list
- Check "Full control" under "Allow"
- Click "Apply" and "OK"
Using Command Prompt (as Administrator):
icacls logs /grant Everyone:F /T icacls storage /grant Everyone:F /T icacls crawl_results /grant Everyone:F /T
Note about docker-compose.yml on Windows
If you encounter issues with the docker-compose.yml file (such as "Top-level object must be a mapping" error), the
docker-start.batscript automatically fixes this by ensuring the file has the correct format and encoding. This fix is applied every time you run the script, so you don't need to manually modify the file.
This single command will:
- Create all necessary directories
- Set appropriate permissions
- Build and start all Docker containers
- Monitor the services to ensure they're running properly
Once the services are running:
- Frontend UI: http://localhost:3001
- Backend API: http://localhost:24125
- Crawl4AI Service: http://localhost:11235
When using Docker, logs can be accessed :
- Container Logs (recommended for debugging):
# View logs from a specific container docker logs devdocs-frontend docker logs devdocs-backend docker logs devdocs-mcp docker logs devdocs-crawl4ai # Follow logs in real-time docker logs -f devdocs-backend
To stop all services, press Ctrl+C in the terminal where docker-start is running.
DevDocs includes various utility scripts to help with development, testing, and maintenance. Here's a quick reference:
start.sh/start.bat/start.ps1- Start all services (frontend, backend, MCP) for local development.docker-start.sh/docker-start.bat- Start all services using Docker containers.
check_mcp_health.sh- Verify the MCP server's health and configuration status.restart_and_test_mcp.sh- Restart Docker containers with updated MCP configuration and test connectivity.
check_crawl4ai.sh- Check the status and health of the Crawl4AI service.debug_crawl4ai.sh- Run Crawl4AI in debug mode with verbose logging for troubleshooting.test_crawl4ai.py- Run tests against the Crawl4AI service to verify functionality.test_from_container.sh- Test the Crawl4AI service from within a Docker container.
view_result.sh- Display crawl results in a formatted view.find_empty_folders.sh- Identify empty directories in the project structure.analyze_empty_folders.sh- Analyze empty folders and categorize them by risk level.verify_reorganization.sh- Verify that code reorganization was successful.
These scripts are organized in the following directories:
- Root directory: Main scripts for common operations
scripts/general/: General utility scriptsscripts/docker/: Docker-specific scriptsscripts/mcp/: MCP server management scriptsscripts/test/: Testing and verification scripts
DevDocs is more than a tool—it's your documentation companion that:
- Saves Time: Turn weeks of research into hours
- Improves Understanding: Get clean, organized documentation
- Enables Innovation: Build faster with any technology
- Supports Teams: Share knowledge efficiently
- LLM READY: Modern times require modern solutions, using devdocs with LLM is extremely easy and intuitive. With minimal configuration you can run Devdocs and Claude App and recognizes DevDocs's MCP server ready to chat with your data.
-
Open the "Modes" Interface
- In Roo Code, click the + to create a new Mode-Specific Prompts.
-
Name
- Give the mode a Name (e.g.,
Research_MCP).
- Give the mode a Name (e.g.,
-
Role Definition Prompt
Prompt
Expertise and Personality: Expertise: Developer documentation retrieval, technical synthesis, and documentation search. Personality: Systematic, detail-oriented, and precise. Provide well-structured answers with clear references to documentation sections.
Behavioral Mandate: Always use the Table Of Contents and Section Access tools when addressing any query regarding the MCP documentation. Maintain clarity, accuracy, and traceability in your responses.
- Mode-Specific Custom Instructions Prompt
Prompt
1. Table Of Contents Tool: Returns a full or filtered list of documentation topics.
2. Section Access Tool: Retrieves the detailed content of specific documentation sections.
General Process: Query Interpretation: Parse the user's query to extract key topics, keywords, and context. Identify the likely relevant sections (e.g., API configurations, error handling) from the query.
Discovery via Table Of Contents: Use the Table Of Contents tool to search the documentation index for relevant sections. Filter or scan titles and metadata for matching keywords.
Drill-Down Using Section Access: For each identified relevant document or section, use the Section Access tool to retrieve its content. If multiple parts are needed, request all related sections to ensure comprehensive coverage.
Synthesis and Response Formation: Combine the retrieved content into a coherent and complete answer. Reference section identifiers or document paths for traceability. Validate that every aspect of the query has been addressed.
Error Handling: If no matching sections are found, adjust the search parameters and retry. Clearly report if the query remains ambiguous or if no relevant documentation is available.
Mandatory Tool Usage:
Enforcement: Every time a query is received that requires information from the MCP server docs, the agent MUST first query the Table Of Contents tool to list potential relevant topics, then use the Section Access tool to retrieve the necessary detailed content.
Search & Retrieve Workflow:
Interpret and Isolate: Identify the key terms and data points from the user's query.
Index Lookup: Immediately query the Table Of Contents tool to obtain a list of relevant documentation sections.
Targeted Retrieval: For each promising section, use the Section Access tool to get complete content.
Information Synthesis: Merge the retrieved content, ensuring all necessary details are included and clearly referenced.
Fallback and Clarification: If initial searches yield insufficient data, adjust the query parameters and retrieve additional sections as needed.
Custom Instruction Loading: Additional custom instructions specific to Research_MCP mode may be loaded from the .clinerules-research-mcp file in your workspace. These may include further refinements or constraints based on evolving documentation structures or query types.
Final Output Construction: The final answer should be organized, directly address the query, and include clear pointers (e.g., section names or identifiers) back to the MCP documentation. Ensure minimal redundancy while covering all necessary details.
"DevDocs turned our 3-week implementation timeline into 2 days. It's not just a crawler, it's a development accelerator." - Senior Engineer at Fortune 100 Company
"Launched my SaaS in half the time by using DevDocs to understand and implement new technologies quickly." - Successful Indie Hacker
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