{"id":"rapidocr-mcp-server","name":"rapidocr-mcp-server","homepage":"https://pypi.org/project/rapidocr-mcp-server/","repo_url":"https://github.com/z4none/rapidocr-mcp.git","category":"ai-ml","subcategories":[],"tags":["ocr","mcp","rapidocr","python","text-extraction","agent-tools"],"what_it_does":"Provides an MCP server that exposes OCR capabilities (based on RapidOCR) via two tools: OCR from base64-encoded image content and OCR from an image file path.","use_cases":["Agent-assisted extraction of text from images","Calling OCR as an MCP tool inside multi-tool agent workflows","Converting screenshots or document images to structured text output"],"not_for":["Production-grade OCR pipelines that require strict security/compliance guarantees without additional review","Environments that cannot supply/handle image files or base64 payloads safely","Use cases needing rich OCR metadata (layout, confidence maps) if not provided by the TextContent schema"],"best_when":"You want a lightweight OCR tool available to an MCP-capable agent, and you can provide images via base64 or local paths.","avoid_when":"You need strong authentication/authorization controls, documented rate limits, or guaranteed privacy controls for sensitive document images.","alternatives":["Run RapidOCR directly in your own service and call it via your own API","Use a managed OCR API (e.g., Google Cloud Vision, AWS Textract, Azure OCR)","Use an open-source OCR stack like Tesseract via a REST wrapper"],"af_score":47.8,"security_score":27.5,"reliability_score":32.5,"package_type":"mcp_server","discovery_source":["pypi"],"priority":"low","status":"evaluated","version_evaluated":null,"last_evaluated":"2026-04-04T21:46:16.781558+00:00","interface":{"has_rest_api":false,"has_graphql":false,"has_grpc":false,"has_mcp_server":true,"mcp_server_url":null,"has_sdk":false,"sdk_languages":[],"openapi_spec_url":null,"webhooks":false},"auth":{"methods":[],"oauth":false,"scopes":false,"notes":"No authentication/authorization mechanism is described in the provided README or manifest snippet; MCP auth (if any) is not documented here."},"pricing":{"model":null,"free_tier_exists":false,"free_tier_limits":null,"paid_tiers":[],"requires_credit_card":false,"estimated_workload_costs":null,"notes":"No pricing information is provided; package appears to be self-hosted open-source (MIT) with local resource usage."},"requirements":{"requires_signup":false,"requires_credit_card":false,"domain_verification":false,"data_residency":[],"compliance":[],"min_contract":null},"agent_readiness":{"af_score":47.8,"security_score":27.5,"reliability_score":32.5,"mcp_server_quality":65.0,"documentation_accuracy":55.0,"error_message_quality":0.0,"error_message_notes":null,"auth_complexity":100.0,"rate_limit_clarity":0.0,"tls_enforcement":20.0,"auth_strength":10.0,"scope_granularity":0.0,"dependency_hygiene":60.0,"secret_handling":60.0,"security_notes":"No authentication or authorization controls are described. TLS requirements for the MCP transport are not documented. The server likely processes sensitive image data; ensure secure deployment, restrict filesystem access when using ocr_by_path, and review how requests/logs handle base64 image payloads. Dependency list includes substantial ML/runtime components (onnxruntime, rapidocr) and an HTTP library (requests), but CVE status is not provided here.","uptime_documented":0.0,"version_stability":55.0,"breaking_changes_history":50.0,"error_recovery":25.0,"idempotency_support":"true","idempotency_notes":"OCR operations are typically deterministic given the same inputs, and there is no indication of server-side state mutation. However, idempotency guarantees and error semantics are not documented.","pagination_style":"none","retry_guidance_documented":false,"known_agent_gotchas":["Prefer ocr_by_content when you cannot expose filesystem paths to the server; ocr_by_path implies the server can access the referenced path.","Large images/base64 payloads may increase latency or exceed MCP transport limits; payload size limits are not documented.","No rate-limit/retry guidance is provided, so agents may need conservative retry/backoff behavior."]}}