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  • MCP Server for Apache Jena

    ramuzes
    A
    license
    -
    quality
    D
    maintenance
    A Model Context Protocol server that connects AI agents to Apache Jena, enabling them to execute SPARQL queries and updates against RDF data stored in Jena Fuseki.
    Last updated
    8
    MIT

  • wasmagent-mcp-server

    WasmAgent
    A
    license
    A
    quality
    B
    maintenance
    Code-mode MCP server (docs_search + execute_code two-tool surface) backed by a unified capability manifest across three sandbox kernels (in-process node:vm, WASM via QuickJS / Pyodide / Wasmtime, and remote microVM via E2B / Cloudflare Sandbox). At N=30 tools the bootstrap-context cost drops to 13.6% of direct tool-use. Apache-2.0.
    Last updated
    2
    3
    Apache 2.0
  • openpouch by openpouch

    openpouchofficial

    openpouch
    A
    license
    A
    quality
    D
    maintenance
    Agent-native hosting: your agent deploys any folder to a live URL in one command — no account, no dashboard, no CAPTCHA — and hands the human a link plus a plain-language summary. Full deploy lifecycle as MCP tools (deploy, verify, logs, inspect, rollback), production approval human-only; static sites and full Node.js apps, open source (Apache-2.0).
    Last updated
    13
    Apache 2.0

  • SAIHM

    SAIHM-Admin
    A
    license
    A
    quality
    B
    maintenance
    Sovereign, encrypted, persistent memory for AI agents. Eight MCP tools — remember, recall, forget (GDPR Art. 17 erasure), share, governance. Anchored on COTI V2 mainnet. Apache-2.0.
    Last updated
    8
    159
    1
    Apache 2.0

  • zeppelin-mcp

    mihneamanolache
    A
    license
    A
    quality
    D
    maintenance
    MCP server that provides AI assistants direct access to the Apache Zeppelin REST API for data engineering workflows, enabling notebook and paragraph management, execution, and interpreter control.
    Last updated
    14
    14
    2
    MIT

  • Superset MCP Server

    LiusCraft
    F
    license
    B
    quality
    D
    maintenance
    A Model Context Protocol server that enables large language models to interact with Apache Superset databases through REST API, supporting database queries, table lookups, field information retrieval, and SQL execution.
    Last updated
    4
    5

  • Ambari MCP Server

    nikita15p
    A
    license
    B
    quality
    D
    maintenance
    Enables AI assistants to manage Apache Ambari clusters, including services, hosts, alerts, and configurations via the MCP protocol.
    Last updated
    40
    1
    Apache 2.0

  • CloudStack MCP Server

    phantosmax
    A
    license
    C
    quality
    D
    maintenance
    A high-performance server that enables integration between Apache CloudStack infrastructure and AI assistants through the Model Context Protocol, providing comprehensive tools for managing virtual machines, storage, networking, and other cloud resources.
    Last updated
    45
    6
    MIT

  • ebb-ai

    Vitalini
    A
    license
    -
    quality
    A
    maintenance
    Carbon-aware MCP scheduler that defers "do it later" / "by tomorrow" / "overnight" LLM tasks to the cleanest electricity-grid hour inside a deadline — 40-70% lower CO2 per task, 50% cheaper via Anthropic/OpenAI Batch APIs. 9 MCP tools, per-task carbon receipts to local SQLite, Apache-2.0.
    Last updated
    1
    Apache 2.0

  • Tages

    ryantlee25-droid
    A
    license
    -
    quality
    A
    maintenance
    Enables AI coding agents to maintain persistent, cross-session memory of codebase architecture, naming conventions, and decisions through MCP tools. Eliminates repetitive project re-explanation by automatically injecting stored context into every session with local-first SQLite storage and optional team sharing capabilities.
    Last updated
    4
    MIT

  • JMeter MCP Server (TypeScript

    vjgit-369
    A
    license
    -
    quality
    D
    maintenance
    Enables AI assistants to programmatically create, execute, and analyze Apache JMeter performance tests. It supports automated bottleneck detection, report generation, and distributed testing management through natural language.
    Last updated
    MIT