{"id":"timothywarner-org-context-engineering","name":"context-engineering","homepage":"https://techtrainertim.com","repo_url":"https://github.com/timothywarner-org/context-engineering","category":"ai-ml","subcategories":[],"tags":["ai-ml","ai-agents","ai-memory","mcp","model-context-protocol","fastapi","fastmcp","langgraph","rag","hybrid-rag","vector-database","knowledge-graph","semantic-memory","education"],"what_it_does":"A training/repository (Python) showing how to build semantic long-term memory for AI assistants using Model Context Protocol (MCP) with FastAPI/FastMCP and a hybrid RAG architecture (vector + graph + scratchpad), including example labs (e.g., a hello MCP lab) and a flagship teaching app (WARNERCO Schematica).","use_cases":["Educational materials and reference implementation for MCP-based AI context/memory systems","Building hybrid retrieval pipelines (vector + knowledge graph) for assistant memory","Learning/implementing FastAPI + FastMCP tool/resource patterns","Prototyping semantic memory stores (JSON/Chroma/Azure AI Search/graph) and session scratchpad behaviors","Integrating with MCP clients such as Claude Desktop/Claude Code and debugging via MCP Inspector"],"not_for":["A fully managed hosted API/service for production use without adapting the code","Turnkey “plug-and-play” memory with guaranteed operational semantics, SLAs, or enterprise support","Compliance-sensitive deployments where you require clearly documented security controls and data-handling guarantees from the package itself"],"best_when":"You want a learning-focused scaffold or baseline implementation for MCP tool servers and hybrid retrieval/memory pipelines in Python.","avoid_when":"You need a clearly documented, versioned, production SaaS interface with stable guarantees, explicit SLAs, and formal security/compliance statements from the package maintainers.","alternatives":["General MCP server frameworks (e.g., FastMCP) with your own memory/RAG stack","LangGraph-based RAG pipelines using your preferred vector store and graph store","Hosted semantic memory/RAG platforms with managed security and SLAs","Open-source RAG toolchains that integrate MCP only where needed"],"af_score":46.5,"security_score":20.2,"reliability_score":22.5,"package_type":"mcp_server","discovery_source":["github"],"priority":"high","status":"evaluated","version_evaluated":null,"last_evaluated":"2026-03-30T15:36:03.136169+00:00","interface":{"has_rest_api":true,"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":["Local run of MCP stdio server (no auth described in README)","Local FastAPI server (no auth described in README)"],"oauth":false,"scopes":false,"notes":"The provided README focuses on running local servers (uvicorn + an MCP stdio server) and does not describe authentication, authorization, or scopes for the HTTP/MCP endpoints."},"pricing":{"model":null,"free_tier_exists":false,"free_tier_limits":null,"paid_tiers":[],"requires_credit_card":false,"estimated_workload_costs":null,"notes":"No pricing model described; appears to be an open-source educational repository. Running it may incur infrastructure/model/vector-store costs depending on the environment (not specified here)."},"requirements":{"requires_signup":false,"requires_credit_card":false,"domain_verification":false,"data_residency":[],"compliance":[],"min_contract":null},"agent_readiness":{"af_score":46.5,"security_score":20.2,"reliability_score":22.5,"mcp_server_quality":55.0,"documentation_accuracy":50.0,"error_message_quality":0.0,"error_message_notes":null,"auth_complexity":95.0,"rate_limit_clarity":10.0,"tls_enforcement":20.0,"auth_strength":15.0,"scope_granularity":10.0,"dependency_hygiene":30.0,"secret_handling":30.0,"security_notes":"The README does not describe authentication/authorization, TLS requirements, secret management practices, or rate limiting. It references local server runs and Azure-related components, but provides no documented security controls or operational hardening guidance in the provided content.","uptime_documented":0.0,"version_stability":40.0,"breaking_changes_history":30.0,"error_recovery":20.0,"idempotency_support":"false","idempotency_notes":null,"pagination_style":"none","retry_guidance_documented":false,"known_agent_gotchas":["Repository appears educational; production-grade behaviors (structured errors, retries, idempotency, rate limits, and auth) are not evidenced in the provided README.","If MCP tools are stateful (scratchpad/session memory), agents may need to manage session identifiers/contexts carefully (details not provided in README).","Hybrid memory configuration may vary (vector/graph/Azure); misconfiguration could lead to partial retrieval or inconsistent behavior."]}}