{"id":"transcription-mcp-server","name":"transcription-mcp-server","homepage":"https://pypi.org/project/transcription-mcp-server/","repo_url":null,"category":"ai-ml","subcategories":[],"tags":["mcp","transcription","speech-to-text","audio","developer-tools","ai-agents"],"what_it_does":"An MCP server package intended to expose transcription functionality to agent runtimes via the Model Context Protocol, allowing agents to submit audio (or references) for speech-to-text and receive transcription results.","use_cases":["Agent-assisted transcription for meetings, interviews, podcasts, or lectures","Workflow automation that converts audio inputs into text for summarization/search","Building agent pipelines that need text extraction from audio sources"],"not_for":["High-assurance, regulated transcription workflows without additional governance and audit controls","Use cases requiring real-time streaming with strict latency guarantees (unless explicitly documented)","Languages/accelerator scenarios beyond what the underlying transcription engine supports"],"best_when":"You want a standardized MCP tool surface for transcription inside an AI agent system, and you can provide/manage audio inputs and credentials as required by the underlying implementation.","avoid_when":"You need a fully self-contained transcription API/SDK with documented REST/OpenAPI contracts instead of MCP.","alternatives":["Dedicated STT APIs (e.g., cloud speech-to-text providers) with REST/SDKs","Open-source STT libraries (e.g., Whisper implementations) integrated directly in your app","Workflow-specific transcription services that offer webhooks and batch jobs"],"af_score":41.2,"security_score":40.8,"reliability_score":22.5,"package_type":"mcp_server","discovery_source":["pypi"],"priority":"low","status":"evaluated","version_evaluated":null,"last_evaluated":"2026-04-04T21:41:18.322383+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":"Authentication requirements are not provided in the prompt data. MCP servers commonly use environment variables or transport-layer auth, but this cannot be confirmed here."},"pricing":{"model":null,"free_tier_exists":false,"free_tier_limits":null,"paid_tiers":[],"requires_credit_card":false,"estimated_workload_costs":null,"notes":"Pricing details are not provided in the prompt data."},"requirements":{"requires_signup":false,"requires_credit_card":false,"domain_verification":false,"data_residency":[],"compliance":[],"min_contract":null},"agent_readiness":{"af_score":41.2,"security_score":40.8,"reliability_score":22.5,"mcp_server_quality":55.0,"documentation_accuracy":40.0,"error_message_quality":0.0,"error_message_notes":null,"auth_complexity":50.0,"rate_limit_clarity":20.0,"tls_enforcement":60.0,"auth_strength":35.0,"scope_granularity":20.0,"dependency_hygiene":40.0,"secret_handling":50.0,"security_notes":"No repository/package manifest or security documentation was provided in the prompt data, so scores reflect uncertainty. MCP deployments should ensure HTTPS/TLS, least-privilege credentials, safe handling of audio/text payloads (PII), and clear guidance on logging redaction.","uptime_documented":0.0,"version_stability":40.0,"breaking_changes_history":20.0,"error_recovery":30.0,"idempotency_support":"false","idempotency_notes":null,"pagination_style":"none","retry_guidance_documented":false,"known_agent_gotchas":["Transcription requests may be non-idempotent depending on how retries are handled and whether jobs are re-submitted","Large audio inputs can hit timeouts/size limits; agent code should anticipate upload/processing constraints","If auth/credentials are environment-based, agents may fail silently without clear configuration error messages","If the MCP server wraps a third-party STT engine, rate limits and cost controls may be governed by that upstream system"]}}