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497,895 tools. Updated 2026-08-31 01:27

"Apache Lucene" matching MCP tools:

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  • The first artist-owned MCP server. Discover, narrate, and stream Matthew Hartley's debut album The Time Is Now from any compatible AI client. Exposes 8 tools (list_songs, get_song, list_chapters, get_chapter, get_artist, get_experience, get_experience_prompt, refresh_stream_urls) over a public HTTP endpoint with no auth. Apache 2.0 licensed.

  • PostgreSQL and Apache Kafka MCP server. Provision, query, and monitor managed cloud data services from AI assistants like Claude, Cursor, and VS Code.

  • Convert a Lucene/SIEM query into a draft Sigma rule (YAML) skeleton. Provide metadata like title, id, level, and logsource to build a reviewable rule.
    MIT
  • Retrieve the Python source code of an Apache Airflow DAG by providing its DAG ID. Returns the DAG file content and file token for inspection and debugging.
    Apache 2.0
  • Query and filter sensor network sessions over a time range using Lucene syntax. Obtain paginated results with source and destination IPs, ports, timestamps, and classification.
    MIT
  • Export a PCAP file of network sessions from GreyNoise sensors. Filter by Lucene queries (e.g., 'destination.port:443') to capture specific traffic for analysis in Wireshark or tcpdump.
    MIT
  • Retrieve comprehensive details for a specific Apache Airflow DAG, including schedule, pause status, owners, tags, and run configuration.
    Apache 2.0
  • Monitor Apache Drill cluster health by retrieving Drillbit membership and overall cluster status.
    Apache 2.0
  • Run a SQL query against Apache Drill and return the result rows.
    Apache 2.0
  • Generate best-practice HTTP security headers with configurable presets (recommended, strict, report-only) and output for nginx, Apache, Caddy, Cloudflare, and more. No scan needed; perfect for new or unscanned sites.
    MIT
  • Execute PPL queries on OpenSearch to perform multi-step filtering, aggregation, and sorting in a single pipeline command.
    MIT
  • Search and filter work items in a Polarion project using Lucene or SQL queries to locate requirements, test cases, and defects.
    MIT