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130,031 tools. Last updated 2026-05-06 19:59

"Connecting a backend project to an Elasticsearch database" matching MCP tools:

  • Initialize project onboarding by retrieving project brief, file tree, open tasks, knowledge, recent failures, directives, active agents, and policies. Use this tool first when connecting to a project.
  • Search an Elasticsearch index using a query string to retrieve data from Elasticsearch clusters through the Model Context Protocol.
  • Automatically route journal entries to the correct project's database. Specify a project ID explicitly or let it auto-detect from context to log entries under the right project.
  • Fork a public project to create a personal copy with all code and database schema, ready for modification. Start from an existing app and customize freely.

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  • 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.

  • Access comprehensive company data including financial records, ownership structures, and contact information. Search for businesses using domains, registration numbers, or LinkedIn profiles to streamline due diligence and lead generation. Retrieve historical financial performance and complex corporate group structures to support informed business analysis.

  • Render interactive scatter plots from x/y coordinate data, supporting multiple series, optional connecting lines, and themed styling.
    Functional Source , Version 1.1, MIT Future
  • Show how rankings change between two time periods: slope charts with lines connecting start and end positions to reveal shifts.
    Functional Source , Version 1.1, MIT Future
  • Query Elasticsearch indices using query DSL with enabled highlights. Connect and interact with Elasticsearch data via the Elasticsearch MCP Server for precise search results.
  • Retrieve database metadata by ID from Appwrite backend services. Use this tool to access database information for management and integration purposes.
    MIT
  • Retrieve field mappings for a specified Elasticsearch index to understand its structure and data organization within the Elasticsearch MCP Server.
  • Create TypeScript clients for frontend applications to interact with backend API endpoints, simplifying API integration and type-safe communication.
    MIT
  • Establish a secure connection to a MySQL database by specifying host, port, user, password, and database details. Simplify database interaction and query execution through structured access.