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114,463 tools. Last updated 2026-04-21 13:04

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    Converts AI Skills (following Claude Skills format) into MCP server resources, enabling LLM applications to discover, access, and utilize self-contained skill directories through the Model Context Protocol. Provides tools to list available skills, retrieve skill details and content, and read supporting files with security protections.
    Last updated
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    23
    Apache 2.0

Matching MCP Connectors

  • Transform any blog post or article URL into ready-to-post social media content for Twitter/X threads, LinkedIn posts, Instagram captions, Facebook posts, and email newsletters. Pay-per-event: $0.07 for all 5 platforms, $0.03 for single platform.

  • Daily world briefing that tells AI assistants what's actually happening right now. Leaders, conflicts, deaths, economic data, holidays. Updated daily so they stop getting current events wrong.

  • Search an Elasticsearch index using a query string to retrieve data from Elasticsearch clusters through the Model Context Protocol.
  • Test how location queries resolve before fetching Zoom rooms. Shows matching aliases, found locations, and API calls needed for debugging.
  • Retrieve all registered hosts in an Ambari cluster to audit nodes, monitor infrastructure, and manage Hadoop environments through automated queries.
    MIT
  • Start all services in an Ambari cluster simultaneously for bulk startup, cluster recovery, or post-maintenance bring-up. Returns operation status for progress tracking.
    MIT
  • Monitor actively running queries on a CockroachDB cluster with filters for node ID, user, and minimum duration to analyze database performance and activity in real time.
    Python
    MIT
  • Retrieve all nodes in a Spotinst Ocean cluster on AWS or Azure by providing the cluster ID. Use this tool to view cluster inventory and manage node resources.
    MIT
  • Create an auxiliary send to route audio from one track to another in REAPER. Define source and destination tracks with optional volume control for flexible mixing.
    MIT
  • Send text to iTerm2 terminal sessions without pressing Enter. Specify target session or send to all sessions for automated terminal input.
    MIT
  • Send commands or text to an interactive SSH shell session, optionally simulating human typing for automation scripts or remote management tasks.
  • Retrieve comprehensive Elasticsearch cluster statistics including indices, nodes, and resource usage to monitor performance and health.
  • Query Elasticsearch indices using query DSL with enabled highlights. Connect and interact with Elasticsearch data via the Elasticsearch MCP Server for precise search results.
    Apache 2.0
  • Retrieve and display all available Elasticsearch indices to manage and interact with data stored in Elasticsearch through the MCP server.
    Apache 2.0
  • Send text input to AI agents in terminal multiplexer workspaces. Use this tool to provide commands or queries to agents that are ready or idle for processing.
    Apache 2.0
  • View active database sessions in a CockroachDB cluster to monitor current queries and connections for performance analysis and troubleshooting.
    Apache 2.0
  • Retrieve basic Elasticsearch cluster details including version and build information to monitor and manage your deployment.
  • Retrieve pending cluster-level tasks to monitor and manage Elasticsearch operations. This tool helps identify queued actions requiring attention for cluster maintenance.
  • Generate metadata documentation for Elasticsearch indices to ensure proper governance, data management, and clear documentation of index purpose, content, and usage patterns.
    MIT
  • Check the current operational status and cluster health of an Alertmanager instance to monitor alerting system availability.
    Apache 2.0
  • Retrieve cluster node details including roles, JVM settings, and installed plugins to monitor and manage Elasticsearch infrastructure.
  • Retrieve all roles defined in Elasticsearch to manage access permissions and security configurations within your cluster.
  • Retrieve statistics for Elasticsearch cluster nodes to monitor CPU, memory, disk usage, and index operations. Use this tool to track node performance and resource utilization within your Elasticsearch environment.
  • Retrieve current tasks running in an OpenSearch cluster to monitor operations and manage cluster performance.
    Apache 2.0