{"id":"deepstation-mcp-agent-example","name":"mcp-agent-example","homepage":null,"repo_url":"https://github.com/deepstation/mcp-agent-example","category":"devtools","subcategories":[],"tags":["mcp","agents","python","reference-implementation"],"what_it_does":"Appears to be a minimal reference repository for demonstrating how to build and integrate an MCP server with an agent framework in Python. The provided README content is only a short tagline, and the manifest suggests dependencies on MCP and OpenAI-related agent libraries, but no concrete API endpoints, tool list, or runtime behavior is shown in the supplied data.","use_cases":["Reference implementation for wiring an MCP server into an agent-based workflow","Learning/demo of Python MCP server integration patterns","Scaffolding for experimentation with OpenAI agent tooling plus MCP"],"not_for":["Production deployment without additional documentation, hardening, and validation","Use as a reliable, fully-specified API service (no endpoints/tooling documented in provided content)","Security- or compliance-sensitive environments without further review"],"best_when":null,"avoid_when":null,"alternatives":["Use official MCP framework examples and templates directly","Build the MCP server with your own API contracts and documentation (OpenAPI-like tool schemas)","If you need a standard HTTP API instead of MCP, implement REST with OpenAPI and SDKs"],"af_score":25.8,"security_score":33.2,"reliability_score":17.5,"package_type":"mcp_server","discovery_source":["github"],"priority":"high","status":"evaluated","version_evaluated":null,"last_evaluated":"2026-03-30T15:22:17.939195+00:00","interface":{"has_rest_api":false,"has_graphql":false,"has_grpc":false,"has_mcp_server":false,"mcp_server_url":null,"has_sdk":false,"sdk_languages":[],"openapi_spec_url":null,"webhooks":false},"auth":{"methods":[],"oauth":false,"scopes":false,"notes":"No authentication method details are present in the supplied README/manifest snippet."},"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 provided; likely an open-source reference repo."},"requirements":{"requires_signup":false,"requires_credit_card":false,"domain_verification":false,"data_residency":[],"compliance":[],"min_contract":null},"agent_readiness":{"af_score":25.8,"security_score":33.2,"reliability_score":17.5,"mcp_server_quality":25.0,"documentation_accuracy":20.0,"error_message_quality":0.0,"error_message_notes":null,"auth_complexity":60.0,"rate_limit_clarity":10.0,"tls_enforcement":50.0,"auth_strength":20.0,"scope_granularity":10.0,"dependency_hygiene":55.0,"secret_handling":40.0,"security_notes":"Only dependencies are visible in the manifest snippet (httpx, mcp, openai, openai-agents). No evidence is provided regarding TLS usage, authentication, authorization scopes, secret management practices, or secure logging. Because this is a reference repo with minimal documentation in the supplied content, security cannot be confirmed from the available data.","uptime_documented":0.0,"version_stability":30.0,"breaking_changes_history":20.0,"error_recovery":20.0,"idempotency_support":"false","idempotency_notes":null,"pagination_style":"none","retry_guidance_documented":false,"known_agent_gotchas":["Provided content does not include tool definitions, schemas, or error contract; agent integration may require inspecting the full repository source."]}}