{"id":"chaozai0304-mcp-spring-ai-mcp-server","name":"mcp-spring-ai-mcp-server","homepage":null,"repo_url":"https://github.com/chaozai0304/mcp-spring-ai-mcp-server","category":"devtools","subcategories":[],"tags":["mcp","spring-ai","spring-boot","webflux","sse","json-rpc","tooling","developer-tools"],"what_it_does":"Provides a demo Spring AI MCP server using Spring Boot (WebFlux). It exposes an SSE endpoint for streaming MCP communication (e.g., /sse) and an HTTP POST message endpoint (e.g., /mcp/message) to send JSON-RPC requests such as tools/list and notifications/initialized, returning MCP tool definitions and messages over SSE.","use_cases":["Running a local MCP server for AI agents to discover and invoke tools","Demonstrating MCP communication patterns (SSE transport + JSON-RPC over HTTP)","Developing Spring-based MCP integrations for custom tool endpoints"],"not_for":["Production deployments requiring strong auth, traffic controls, and operational assurances (not evidenced by the provided materials)","Use cases needing a documented REST/GraphQL/SDK surface beyond the MCP transport","Environments where exposing localhost endpoints without authentication is unacceptable"],"best_when":"You want a lightweight local or internal demo/integration of an MCP server transport compatible with Spring AI’s WebFlux MCP starter.","avoid_when":"You need enterprise-grade security (authn/authz, TLS termination requirements, rate limiting) or formal reliability guarantees; the provided README does not document these.","alternatives":["Other MCP server implementations (stdio-based MCP servers)","Different Spring AI MCP server transport options (e.g., stdio if supported in your environment)","Community MCP server frameworks with stronger production hardening"],"af_score":38.5,"security_score":29.5,"reliability_score":26.2,"package_type":"mcp_server","discovery_source":["github"],"priority":"low","status":"evaluated","version_evaluated":null,"last_evaluated":"2026-04-04T19:39:31.745511+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 authentication/authorization mechanism is mentioned in the provided README/config excerpts; endpoints appear callable directly."},"pricing":{"model":null,"free_tier_exists":false,"free_tier_limits":null,"paid_tiers":[],"requires_credit_card":false,"estimated_workload_costs":null,"notes":null},"requirements":{"requires_signup":false,"requires_credit_card":false,"domain_verification":false,"data_residency":[],"compliance":[],"min_contract":null},"agent_readiness":{"af_score":38.5,"security_score":29.5,"reliability_score":26.2,"mcp_server_quality":70.0,"documentation_accuracy":55.0,"error_message_quality":0.0,"error_message_notes":null,"auth_complexity":10.0,"rate_limit_clarity":0.0,"tls_enforcement":40.0,"auth_strength":10.0,"scope_granularity":0.0,"dependency_hygiene":60.0,"secret_handling":50.0,"security_notes":"The provided materials do not mention authentication/authorization or TLS requirements. Dependency hygiene is inferred from the visible use of Spring Boot/Spring AI starters and Lombok without explicit security advisories; no SBOM/CVE or hardening guidance is included.","uptime_documented":0.0,"version_stability":45.0,"breaking_changes_history":30.0,"error_recovery":30.0,"idempotency_support":"false","idempotency_notes":"No idempotency guidance is provided. JSON-RPC methods like tools/list are typically safe, but the repo material does not confirm idempotent behavior for tool invocation.","pagination_style":"none","retry_guidance_documented":false,"known_agent_gotchas":["Transport is SSE-based with a separate message endpoint tied to a sessionId; agents must correctly establish the SSE session before sending JSON-RPC messages.","The README describes tool discovery but does not document all MCP method/error semantics or how to handle partial/failed SSE events.","No authentication and no rate-limiting behavior is documented; agents should be cautious about high request volumes."]}}