{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"awesome-spring-ai-mcp-server","slug":"spring-ai-mcp-server","name":"Spring AI MCP Server","type":"mcp","url":"https://docs.spring.io/spring-ai/reference/api/mcp/mcp-server-boot-starter-docs.html","page_url":"https://unfragile.ai/spring-ai-mcp-server","categories":["mcp-servers"],"tags":[],"pricing":{"model":"unknown","free":false,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"awesome-spring-ai-mcp-server__cap_0","uri":"capability://automation.workflow.spring.boot.auto.configuration.for.mcp.server.initialization","name":"spring boot auto-configuration for mcp server initialization","description":"Automatically configures and bootstraps an MCP server within a Spring Boot application through classpath scanning and conditional bean registration. Uses Spring's @Configuration and @ConditionalOnClass patterns to detect MCP dependencies and instantiate the appropriate server components without explicit XML or Java configuration code. Supports multiple transport protocols (STDIO, SSE, Streamable-HTTP, Stateless) with protocol selection via spring.ai.mcp.server.protocol property, enabling developers to switch transports without code changes.","intents":["I want to add MCP server capabilities to my existing Spring Boot application without boilerplate configuration","I need to switch between STDIO and HTTP-based transports for my MCP server without rewriting code","I want Spring to automatically wire up MCP components when I add the starter dependency"],"best_for":["Spring Boot developers building LLM-integrated applications","Teams migrating existing Spring services to expose MCP interfaces","Developers wanting zero-configuration MCP server setup"],"limitations":["Requires Spring Boot application context — cannot be used in standalone Java applications without Spring","Protocol selection is global per application instance — cannot run multiple protocols simultaneously in single process","Auto-configuration assumes standard Spring Boot conventions; custom bean definitions may conflict with auto-configured beans"],"requires":["Spring Boot 3.0+ (version not explicitly documented but implied by modern Spring AI)","Java 17+ (Spring Boot 3.x requirement)","spring-ai-starter-mcp-server or spring-ai-starter-mcp-server-webmvc or spring-ai-starter-mcp-server-webflux dependency"],"input_types":["application.properties or application.yml configuration","classpath Spring Boot starter dependencies"],"output_types":["configured MCP server bean ready for tool/resource registration","HTTP endpoints or STDIO transport listener"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-spring-ai-mcp-server__cap_1","uri":"capability://tool.use.integration.multi.protocol.mcp.server.transport.abstraction","name":"multi-protocol mcp server transport abstraction","description":"Provides a unified server abstraction layer supporting four distinct transport protocols: STDIO (in-process stdin/stdout), SSE (Server-Sent Events for real-time streaming), Streamable-HTTP (HTTP-based streaming variant), and Stateless (stateless HTTP). Each protocol is implemented via separate starter dependencies (spring-ai-starter-mcp-server for STDIO, spring-ai-starter-mcp-server-webmvc or spring-ai-starter-mcp-server-webflux for HTTP variants). The framework abstracts protocol differences so tool and resource implementations remain transport-agnostic, with protocol selection delegated to configuration rather than code.","intents":["I want to run my MCP server via STDIO for local Claude Desktop integration","I need to expose my MCP server over HTTP/SSE for remote client connections","I want to switch from STDIO to HTTP without rewriting my tool implementations"],"best_for":["Developers building MCP servers for both local (Claude Desktop) and remote deployment scenarios","Teams requiring flexible transport options based on deployment environment","Organizations needing stateless HTTP servers for cloud/container deployments"],"limitations":["STDIO transport limited to single client connection per process instance","SSE and Streamable-HTTP require WebMVC or WebFlux stack — cannot use with minimal Spring Boot setups","Stateless protocol variant requires request-response isolation — cannot maintain per-connection state across requests","No built-in load balancing or connection pooling for HTTP transports"],"requires":["Spring Boot 3.0+","Java 17+","For STDIO: spring-ai-starter-mcp-server","For HTTP (SSE/Streamable/Stateless): spring-ai-starter-mcp-server-webmvc (blocking) or spring-ai-starter-mcp-server-webflux (reactive)","For WebFlux variant: Project Reactor on classpath"],"input_types":["spring.ai.mcp.server.protocol property (STDIO, SSE, STREAMABLE, STATELESS)","spring.ai.mcp.server.stdio boolean flag for STDIO selection"],"output_types":["STDIO: stdin/stdout message streams","SSE: HTTP 200 with text/event-stream content-type","Streamable-HTTP: HTTP streaming response","Stateless: standard HTTP request-response pairs"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-spring-ai-mcp-server__cap_2","uri":"capability://tool.use.integration.annotation.based.tool.definition.and.registration","name":"annotation-based tool definition and registration","description":"Enables developers to define MCP tools using Spring annotations (likely @MpcTool or similar, though exact annotation names not documented) on Spring-managed beans. The framework uses classpath component scanning to discover annotated methods, automatically generates JSON Schema for tool inputs, and registers tools with the MCP server runtime. Tool implementations are plain Java methods with Spring dependency injection support, allowing tools to access Spring beans, databases, and other application services without manual wiring.","intents":["I want to expose a Java method as an MCP tool without writing boilerplate schema definitions","I need my MCP tools to access Spring beans and application services","I want the framework to auto-generate JSON Schema for my tool parameters"],"best_for":["Spring developers building MCP servers within existing Spring applications","Teams wanting to minimize boilerplate between tool logic and MCP registration","Applications requiring tight integration between MCP tools and Spring-managed services"],"limitations":["Tool annotation mechanism not documented — exact API unknown from provided documentation","Schema generation approach not specified — may not handle complex nested types or custom serialization","No documented support for streaming tool responses or long-running tool operations","Tool discovery limited to Spring-managed beans — cannot register external or dynamically-loaded tools"],"requires":["Spring Boot 3.0+","Java 17+","Spring component scanning enabled (default in Spring Boot)","MCP server starter dependency"],"input_types":["Java method parameters (types inferred from method signature)","Spring bean references via @Autowired or constructor injection"],"output_types":["JSON-serializable return values","Tool result objects compatible with MCP protocol"],"categories":["tool-use-integration","code-generation-editing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-spring-ai-mcp-server__cap_3","uri":"capability://tool.use.integration.synchronous.and.asynchronous.tool.execution","name":"synchronous and asynchronous tool execution","description":"Supports both blocking (synchronous) and non-blocking (asynchronous) tool implementations within the same MCP server. Synchronous tools execute on the calling thread and return results directly; asynchronous tools use Java's CompletableFuture or Spring's Mono/Flux (for WebFlux variant) to defer execution and enable concurrent tool invocations. The framework handles thread pool management and result marshaling transparently, allowing developers to choose execution model per tool based on I/O characteristics.","intents":["I want some tools to execute synchronously for simple operations and others asynchronously for I/O-bound tasks","I need my MCP server to handle multiple concurrent tool invocations without blocking","I want to use reactive Spring WebFlux patterns for my async tools"],"best_for":["Applications with mixed I/O patterns (some CPU-bound, some I/O-bound tools)","High-concurrency scenarios requiring non-blocking tool execution","Teams using Spring WebFlux and wanting to leverage reactive patterns in MCP tools"],"limitations":["Synchronous tools block the calling thread — unsuitable for long-running I/O operations","Asynchronous execution model not documented — unclear if CompletableFuture, Mono, or other async types are supported","No documented timeout or cancellation mechanism for long-running async tools","Thread pool configuration options not documented"],"requires":["Spring Boot 3.0+","Java 17+ (for CompletableFuture support)","For WebFlux async: spring-ai-starter-mcp-server-webflux and Project Reactor"],"input_types":["Tool method return type: direct value (sync) or CompletableFuture/Mono/Flux (async)"],"output_types":["Synchronous: direct tool result","Asynchronous: resolved future/mono value wrapped in MCP result"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-spring-ai-mcp-server__cap_4","uri":"capability://tool.use.integration.resource.exposure.and.uri.based.resource.routing","name":"resource exposure and uri-based resource routing","description":"Enables MCP servers to expose resources (documents, data, or other artifacts) via a standardized resource interface. Resources are identified by URIs and can be retrieved by MCP clients. The framework provides a mechanism for developers to define resources (exact API not documented) and route client requests to appropriate resource handlers based on URI patterns. Resources are served through the same transport protocol as tools, maintaining a unified client-server interface.","intents":["I want to expose documents or data artifacts through my MCP server as resources","I need clients to retrieve resources by URI without implementing custom endpoints","I want to organize resources hierarchically using URI patterns"],"best_for":["MCP servers that need to expose read-only or read-write data artifacts","Applications providing document access or knowledge base integration via MCP","Teams building knowledge management systems accessible through MCP clients"],"limitations":["Resource definition API not documented — exact mechanism for registering resources unknown","URI routing patterns not specified — unclear if glob patterns, regex, or exact matching is supported","No documented support for resource metadata, versioning, or change notifications","Resource access control and permission model not documented"],"requires":["Spring Boot 3.0+","MCP server starter dependency","Resource implementation code (API unknown from documentation)"],"input_types":["Resource URI (format not specified)","Client resource request via MCP protocol"],"output_types":["Resource content (format not specified)","Resource metadata (if supported)"],"categories":["tool-use-integration","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-spring-ai-mcp-server__cap_5","uri":"capability://tool.use.integration.optional.capability.negotiation.progress.tracking.and.health.checks","name":"optional capability negotiation (progress tracking and health checks)","description":"Supports optional MCP capabilities including progress tracking for long-running operations and ping-based health checks. These capabilities are enabled by default but can be disabled per server instance. Progress tracking allows tools to report incremental completion status to clients; health checks enable clients to verify server availability. The framework handles capability advertisement and client negotiation transparently, allowing clients to discover and use these features if available.","intents":["I want my long-running tools to report progress to clients","I need clients to be able to ping my MCP server to verify it's responsive","I want to disable progress tracking for performance-sensitive deployments"],"best_for":["MCP servers with long-running tool operations requiring progress feedback","Production deployments requiring health monitoring and availability checks","Applications where progress visibility improves user experience"],"limitations":["Capability disabling mechanism not documented — unclear how to disable individual capabilities","Progress tracking implementation not specified — unclear if streaming or polling-based","No documented timeout or retry logic for health checks","Capability negotiation protocol details not provided"],"requires":["Spring Boot 3.0+","MCP server starter dependency"],"input_types":["Tool execution context (for progress reporting)","Client ping request (for health checks)"],"output_types":["Progress update messages (format not specified)","Ping response confirming server availability"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-spring-ai-mcp-server__cap_6","uri":"capability://tool.use.integration.webmvc.and.webflux.transport.protocol.variants","name":"webmvc and webflux transport protocol variants","description":"Provides separate starter dependencies for blocking (WebMVC) and reactive (WebFlux) HTTP transport implementations. WebMVC variant uses traditional servlet-based Spring MVC with thread-per-request model; WebFlux variant uses Project Reactor and non-blocking I/O for handling concurrent connections with fewer threads. Both variants support SSE, Streamable-HTTP, and Stateless protocols, allowing teams to choose based on application architecture and concurrency requirements. The framework abstracts protocol differences so tool implementations remain transport-agnostic.","intents":["I want to run my MCP server on Spring WebFlux for high-concurrency scenarios","I need to use traditional Spring MVC servlet model for my MCP server","I want to choose between blocking and reactive transports based on deployment requirements"],"best_for":["High-concurrency applications requiring non-blocking I/O (WebFlux)","Traditional Spring MVC applications wanting to add MCP without architectural changes (WebMVC)","Teams with existing WebFlux expertise wanting to leverage reactive patterns"],"limitations":["WebMVC and WebFlux are mutually exclusive — cannot run both in same application instance","WebFlux variant requires Project Reactor on classpath — adds dependency complexity","Reactive tool implementations (Mono/Flux) only available in WebFlux variant","WebMVC variant limited by servlet thread pool size for concurrent connections"],"requires":["Spring Boot 3.0+","For WebMVC: spring-ai-starter-mcp-server-webmvc and Spring MVC on classpath","For WebFlux: spring-ai-starter-mcp-server-webflux and Project Reactor on classpath"],"input_types":["HTTP requests (SSE, Streamable-HTTP, or Stateless protocol)","Tool execution requests"],"output_types":["HTTP responses with appropriate streaming or stateless protocol format"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-spring-ai-mcp-server__cap_7","uri":"capability://tool.use.integration.spring.dependency.injection.integration.for.tools.and.resources","name":"spring dependency injection integration for tools and resources","description":"Integrates Spring's dependency injection container with MCP tool and resource implementations, allowing tools to declare dependencies on Spring beans via @Autowired, constructor injection, or method parameters. The framework resolves dependencies at tool invocation time, enabling tools to access databases, external services, configuration properties, and other Spring-managed components without manual wiring. This integration maintains Spring's inversion-of-control principles while exposing tools through the MCP protocol.","intents":["I want my MCP tools to access Spring beans like repositories, services, and configuration","I need tools to use @Autowired or constructor injection for dependencies","I want to leverage Spring's bean lifecycle and scope management in my tools"],"best_for":["Spring applications adding MCP capabilities to existing services","Teams wanting to reuse existing Spring beans in MCP tools","Applications requiring tight coupling between MCP tools and application infrastructure"],"limitations":["Tool scope management not documented — unclear if tools are singletons or request-scoped","Circular dependency handling between tools and Spring beans not documented","No documented support for conditional bean injection based on MCP context","Tool lifecycle hooks (initialization, destruction) not documented"],"requires":["Spring Boot 3.0+","Spring context initialized before MCP server startup","Tool implementations as Spring-managed beans or methods on Spring beans"],"input_types":["Spring bean definitions","Tool method parameters and @Autowired annotations"],"output_types":["Resolved Spring beans injected into tool implementations"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":26,"verified":false,"data_access_risk":"moderate","permissions":["Spring Boot 3.0+ (version not explicitly documented but implied by modern Spring AI)","Java 17+ (Spring Boot 3.x requirement)","spring-ai-starter-mcp-server or spring-ai-starter-mcp-server-webmvc or spring-ai-starter-mcp-server-webflux dependency","Spring Boot 3.0+","Java 17+","For STDIO: spring-ai-starter-mcp-server","For HTTP (SSE/Streamable/Stateless): spring-ai-starter-mcp-server-webmvc (blocking) or spring-ai-starter-mcp-server-webflux (reactive)","For WebFlux variant: Project Reactor on classpath","Spring component scanning enabled (default in Spring Boot)","MCP server starter dependency"],"failure_modes":["Requires Spring Boot application context — cannot be used in standalone Java applications without Spring","Protocol selection is global per application instance — cannot run multiple protocols simultaneously in single process","Auto-configuration assumes standard Spring Boot conventions; custom bean definitions may conflict with auto-configured beans","STDIO transport limited to single client connection per process instance","SSE and Streamable-HTTP require WebMVC or WebFlux stack — cannot use with minimal Spring Boot setups","Stateless protocol variant requires request-response isolation — cannot maintain per-connection state across requests","No built-in load balancing or connection pooling for HTTP transports","Tool annotation mechanism not documented — exact API unknown from provided documentation","Schema generation approach not specified — may not handle complex nested types or custom serialization","No documented support for streaming tool responses or long-running tool operations","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.26,"ecosystem":0.25,"match_graph":0.25,"freshness":0.75,"weights":{"adoption":0.25,"quality":0.25,"ecosystem":0.15,"match_graph":0.23,"freshness":0.12}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-06-17T09:51:04.049Z","last_scraped_at":"2026-05-03T14:00:18.053Z","last_commit":null},"community":{"stars":null,"forks":null,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=spring-ai-mcp-server","compare_url":"https://unfragile.ai/compare?artifact=spring-ai-mcp-server"}},"signature":"aiU7AUj8gDuCmaprwwzb+y8/JDq/fBGKz33CXbifD69emPLGPX1F4Cgu5eDTiqzsRrtGMaaxmpLEEkUfeYPpCQ==","signedAt":"2026-06-22T14:36:19.765Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/spring-ai-mcp-server","artifact":"https://unfragile.ai/spring-ai-mcp-server","verify":"https://unfragile.ai/api/v1/verify?slug=spring-ai-mcp-server","publicKey":"https://unfragile.ai/api/v1/trust-passport-public-key","spec":"https://unfragile.ai/trust","schema":"https://unfragile.ai/schema.json","docs":"https://unfragile.ai/docs"}}