Rapidocr Mcp — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited Rapidocr Mcp (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
High-performance OCR MCP Server.
# Install globally with uvx (recommended)
uvx rapidocr-mcp
# Or install globally with pip
pip install rapidocr-mcp# Install dependencies
uv sync
# Run MCP server (stdio mode)
uv run rapidocr-mcp
# Run FastAPI server
uv run rapidocr-mcp --mode fastapi --port 8080Set environment variables with RAPIDOCR_ prefix:
export RAPIDOCR_LANG=ch
export RAPIDOCR_LOG_LEVEL=INFO
export RAPIDOCR_API_KEY=your-key| Tool | Description |
|---|---|
ocr_by_path | OCR for local image file by path |
ocr_by_content | OCR for Base64 encoded image |
ocr_by_url | OCR for image from HTTP/HTTPS URL |
ocr_batch | Batch OCR for multiple images |
Add to your Claude Desktop config file:
macOS: ~/Library/Application Support/Claude/claude_desktop_config.json Windows: %APPDATA%\Claude\claude_desktop_config.json
{
"mcpServers": {
"rapidocr": {
"command": "uvx",
"args": ["rapidocr-mcp"]
}
}
}Or with local installation:
{
"mcpServers": {
"rapidocr": {
"command": "uv",
"args": ["--directory", "/path/to/rapidocr-mcp", "run", "rapidocr-mcp"]
}
}
}For other MCP clients that support stdio mode, configure the command as:
uvx rapidocr-mcp
# or
rapidocr-mcpdocker-compose -f docker/docker-compose.yml upGET /health - Health checkPOST /ocr/path - OCR by file pathPOST /ocr/base64 - OCR by base64POST /ocr/url - OCR by URLPOST /ocr/upload - OCR by file uploadGET /metrics - Prometheus metricsIf you find this project helpful, consider buying me a coffee!
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MIT
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.