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72,476 servers. Updated

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"How to write a Java application, especially using Spring" matching MCP servers:

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    Coherence guard for shared files: when two agents write the same file, the stale writer is denied instead of silently overwriting, then reacquires and retries. Single-host, TLA+-verified.
    5
    11
    Apache 2.0
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    Persistent docs and memory for AI agents. Writespace is a collaborative markdown editor with a built-in MCP server — your model reads, writes, organizes, and searches a shared workspace while humans edit the same docs live. Drop the ranked full-text search straight in as RAG retrieval.
    MIT
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    MCP-first A/B testing server that enables agents to manage experiments (create, update traffic splits, read results, apply winning variants) from tools like Claude Code, with self-hosted Cloudflare backend.
    MIT
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    Enables LLMs to debug Java applications using JDB, supporting breakpoints, stepping, expression evaluation, thread analysis, and more.
    3
    Apache 2.0
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    Connects AI coding assistants to Shipbook for investigating issues using real application logs with error classification, log search, and session tracing.
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    MIT
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    Enables AI coding assistants to leverage Application Security Posture Management (ASPM) capabilities, allowing developers to write secure code, query security risks, trigger diff scans, and manage security findings directly from their AI assistant.
    4
    Apache 2.0
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    Audits a module against its test suite and reports the cases the tests are structurally unable to see, then proves each gap with a real failing test rather than a warning. Covers Python, TypeScript, JavaScript, Java, Rust and Go.
    4
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    Apache 2.0
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    Screen-reader navigation cost analyzer. Measures how hard it is for assistive-technology users to discover, reach, and operate interactive targets on the web.
    9
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    Apache 2.0
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    A Model Context Protocol (MCP) server for interacting with Joe Sandbox Cloud. This server exposes rich analysis and IOC extraction capabilities from Joe Sandbox and integrates cleanly into any MCP-compatible application (e.g. Claude Desktop, Glama, or custom LLM agents).
    15
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    MIT
  • F
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    Semantic memory for AI builders: capture the tacit engineering know-how that never reaches your docs, recall it the moment it applies. Built in Rust on Postgres and pgvector.
    10
    9
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    Lets AI agents scaffold modern npm packages, CLIs, HTTP services, and apps as a native tool. Three tools: inspect the full option/preset schema, preview the generated file tree for a config, and write the project to disk.
    3
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    MIT