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URL: https://glama.ai/mcp/servers/integrations/spring

⇱ Spring | Glama

  • Why this server?

    Extracts packages, classes, and routes from Java/Kotlin Spring framework applications for structural understanding and flow tracing.

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    Structural graph map of any codebase. Scans entities, relationships, and feature flows across 13 languages so LLMs navigate by structure instead of reading everything.
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  • Why this server?

    Allows for the discovery, indexing, and searching of documentation for the Spring and Spring Boot frameworks.

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    Web search (embedded SearXNG), content extraction, and library docs indexing with hybrid search. No API keys required.
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  • Why this server?

    Provides enhanced code understanding capabilities for Spring Framework projects, including layer-aware ordering (Controller → Service → Impl → MQ → Mapper/Repository/DAO), annotation parsing, and dependency injection field detection for Java Spring applications.

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    High-performance code understanding toolkit that enables batch reading of multiple files with dependency context, structural outline extraction with Java annotation awareness, and precise location of classes/methods across large codebases.
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  • Why this server?

    Supports debugging of applications built with the Spring framework, including navigation of deep Spring stacks and inspection of framework-managed components and dependency injection

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    Сonnects to live JVMs via JDWP protocol, enabling LLM agents to autonomously debug Java applications — attach to a running process, pause threads, set breakpoints (including conditional), inspect stacks with auto-resolved object fields, evaluate methods, set variable values, and diagnose issues like deadlocks and hung queries.
    Last updated
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  • Why this server?

    Analyzes Spring framework code to identify HTTP endpoints via @RestController annotations, Kafka topics via @KafkaListener and application.yaml configurations, and backend client calls via RestClient/RestTemplate.

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    Ariadne's thread — a way out of the microservice maze. Local cross-service semantic chain hinter for microservices (GraphQL/HTTP/Kafka/frontend)
    Last updated
    5
    MIT

  • Why this server?

    Enables detection of Spring Dependency Injection registrations and annotations (@Component, @Bean, @Autowired, @Inject) for analyzing Spring-based Java applications.

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    An MCP server providing 63 semantic analysis tools for Java, built directly on Eclipse JDT for compiler-accurate code understanding.
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  • Why this server?

    Enables academic paper search through Springer repositories, providing access to scientific and technical research publications.

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    Tools for AI assistant's deep research: * Google search + webpage reading (incl. JS-rendered pages) * Document & decks analysis * YouTube transcript extraction * Patents + academic paper search * Company and competitors research * Prompts for comprehensive-research, fact-check, summarize-url, news-briefing, patent-portfolio-analysis, competitive-analysis, literature-review, technical-deep-dive
    Last updated
    8
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  • Why this server?

    Supports Java Spring Boot framework export format for architecture designs, generating project scaffolds in Java.

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    Memory for AI coding agents. Persistent code graph + AI architecture diagrams. 32 MCP tools
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  • Why this server?

    Decompiles Spring framework classes (e.g., JpaRepository, ObservationRegistry) into readable Java source code, enabling AI agents to inspect internal implementations of Spring dependencies.

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    Decompiles Maven dependencies into readable Java source directly inside your AI agent.
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    Apache 2.0