{"id":"paddleocr-mcp-server","name":"paddleocr-mcp-server","homepage":"https://pypi.org/project/paddleocr-mcp-server/","repo_url":"https://github.com/yourusername/PaddleOCR-MCP","category":"ai-ml","subcategories":[],"tags":["mcp","ocr","paddleocr","document-processing","agent-tools","vision"],"what_it_does":"Provides an MCP (Model Context Protocol) server wrapper around PaddleOCR functionality, enabling an agent to submit images for OCR and receive extracted text/results via MCP tools.","use_cases":["OCR via an agent workflow (extract text from images/doc scans)","Document processing pipelines where an LLM agent needs vision/OCR outputs","Automated transcription of screenshots or photographed documents","Pre-processing step for search/indexing over document images"],"not_for":["Real-time OCR at very high throughput without dedicated scaling","Use cases requiring a fully managed hosted OCR API with SLA","OCR for sensitive documents when you cannot control model/data handling locally"],"best_when":"You want to integrate OCR into an agent environment using MCP, and you can run the server with local dependencies/models.","avoid_when":"You need strong, documented auth/rate-limit guarantees from a managed service or you cannot run untrusted images through a controlled environment.","alternatives":["Hosted OCR APIs (e.g., Google Vision, AWS Textract, Azure OCR) integrated directly via REST","Standalone PaddleOCR CLI/binary invoked from your own code","Other MCP OCR servers or multimodal models with built-in OCR (where available)","Tesseract (simpler OCR) for lower accuracy needs"],"af_score":45.8,"security_score":33.0,"reliability_score":35.0,"package_type":"mcp_server","discovery_source":["pypi"],"priority":"low","status":"evaluated","version_evaluated":null,"last_evaluated":"2026-04-04T21:49:29.678599+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 auth mechanism can be confirmed from the provided information. MCP servers commonly run locally or within a trusted network, but specific auth details are not available here."},"pricing":{"model":null,"free_tier_exists":false,"free_tier_limits":null,"paid_tiers":[],"requires_credit_card":false,"estimated_workload_costs":null,"notes":"Pricing depends on where PaddleOCR models and compute run (self-hosted). No hosted pricing info is available."},"requirements":{"requires_signup":false,"requires_credit_card":false,"domain_verification":false,"data_residency":[],"compliance":[],"min_contract":null},"agent_readiness":{"af_score":45.8,"security_score":33.0,"reliability_score":35.0,"mcp_server_quality":55.0,"documentation_accuracy":45.0,"error_message_quality":0.0,"error_message_notes":null,"auth_complexity":85.0,"rate_limit_clarity":0.0,"tls_enforcement":40.0,"auth_strength":30.0,"scope_granularity":0.0,"dependency_hygiene":50.0,"secret_handling":50.0,"security_notes":"Security posture is uncertain because specifics about transport (TLS), auth, input validation, and dependency versions are not provided. OCR servers ingest untrusted image inputs; run in a sandboxed environment and restrict filesystem/network access. Ensure logs do not capture sensitive image data or extracted text if applicable.","uptime_documented":0.0,"version_stability":50.0,"breaking_changes_history":50.0,"error_recovery":40.0,"idempotency_support":"false","idempotency_notes":null,"pagination_style":"none","retry_guidance_documented":false,"known_agent_gotchas":["OCR results may be sensitive to image resolution, orientation, and pre-processing; agents may need guidance to upload higher-quality images.","Large images/files can cause timeouts or memory pressure; agents should prefer reasonable image sizes.","If the server loads heavy PaddleOCR models on demand, first-call latency may be high."]}}