{"id":"cagritrk-spring-ai-mcp-server","name":"spring-ai-mcp-server","homepage":null,"repo_url":"https://github.com/cagritrk/spring-ai-mcp-server","category":"devtools","subcategories":[],"tags":["mcp","spring-ai","spring-boot","java","tool-calling","crud","in-memory","example"],"what_it_does":"Provides a sample Spring AI MCP (Model Context Protocol) server implemented with Spring Boot, exposing tool-based CRUD/search operations over an in-memory Person dataset (seeded with dummy/CSV data).","use_cases":["Local/prototyping MCP tool integrations for Spring AI agents","Demonstrating CRUD/search tool patterns (create/get/update/delete) over a dataset","Testing agent tool-calling flows and schema handling with simple in-memory state"],"not_for":["Production systems needing persistent storage or real data governance","Use cases requiring strong authentication/authorization or multi-tenant separation","Environments where sensitive personal data must be handled/retained"],"best_when":"You want a lightweight, local MCP server example to validate tool calling, request/response shaping, and basic CRUD behavior.","avoid_when":"You need robust security controls, durable storage, audit logs, rate limiting guarantees, or formal SLAs.","alternatives":["Other MCP server examples that use persistent storage (DB-backed) and include auth/rate limiting","Direct REST/GraphQL APIs with OpenAPI/SDKs instead of MCP for non-agent clients","Spring Boot sample projects implementing standard REST CRUD for easier enterprise integration"],"af_score":51.2,"security_score":20.0,"reliability_score":12.5,"package_type":"mcp_server","discovery_source":["github"],"priority":"low","status":"evaluated","version_evaluated":null,"last_evaluated":"2026-04-04T19:39:26.903904+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":["Java"],"openapi_spec_url":null,"webhooks":false},"auth":{"methods":[],"oauth":false,"scopes":false,"notes":"No authentication/authorization mechanism is described in the provided README for MCP tool access."},"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; appears to be a local open-source example."},"requirements":{"requires_signup":false,"requires_credit_card":false,"domain_verification":false,"data_residency":[],"compliance":[],"min_contract":null},"agent_readiness":{"af_score":51.2,"security_score":20.0,"reliability_score":12.5,"mcp_server_quality":55.0,"documentation_accuracy":70.0,"error_message_quality":0.0,"error_message_notes":null,"auth_complexity":100.0,"rate_limit_clarity":0.0,"tls_enforcement":20.0,"auth_strength":0.0,"scope_granularity":0.0,"dependency_hygiene":40.0,"secret_handling":50.0,"security_notes":"Appears intended as a local demo. No auth, TLS, or secret-handling practices are described. The dataset includes fields like email/phone/date of birth; while dummy, agents should avoid assuming real privacy characteristics if modified for real data. Dependency hygiene cannot be assessed from the provided content.","uptime_documented":0.0,"version_stability":30.0,"breaking_changes_history":0.0,"error_recovery":20.0,"idempotency_support":"false","idempotency_notes":"CRUD tools are present, but the README does not describe idempotency semantics for updates/creates or how duplicate requests are handled.","pagination_style":"none","retry_guidance_documented":false,"known_agent_gotchas":["In-memory store implies state resets on restart; agents should not assume persistence between sessions.","Tool argument names/types must match the MCP tool definitions shown; no validation/constraint details are provided in the README.","No documented rate limits, auth, or error code conventions are provided, so agents may need defensive handling."]}}