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499,749 tools. Updated 2026-08-31 12:16

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

  • Permanently delete a project and its backend instance, including database and stored data. Confirm with user first and use specific ID to avoid accidental removal.
    MIT
  • Create an isolated Anythink backend instance with database, API, auth, and storage. Asynchronous provisioning returns project ID and API URL.
    MIT
  • Check if the CFX backend is active and retrieve connection details, backend type, and available tools before connecting.
    Apache 2.0
  • Generate a production-ready backend scaffold with Express or Next.js, including configurable auth, database, API docs, caching, and more.
    MIT
  • 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

Matching MCP Servers

  • A
    license
    A
    quality
    D
    maintenance
    Enables AI assistants to search, analyze, and interact with Elasticsearch through natural language.
    18
    Apache 2.0
  • A
    license
    B
    quality
    C
    maintenance
    MCP server providing backend access to PostgreSQL, Storage (Supabase/S3), Iceberg data lake, and SQL seeds. It offers 32 tools for database queries, storage operations, seed management, and more.
    31
    3
    MIT

Matching MCP Connectors

  • Retrieve field mappings for a specified Elasticsearch index to understand its structure and data organization within the Elasticsearch MCP Server.
    Apache 2.0
  • Open or reuse a tunnel to a configured database connection without connecting to the database. Returns the local host/port and tunnel_id for later tunnel management.
    MIT
  • Record and update a project's technology stack across categories like backend, frontend, database, infrastructure, testing, and devops, maintaining a central registry for consistency.
    MIT
  • Monitor the health of your Digital Brain by checking backend status, database and vector index sizes, event counts, and LLM availability.
    MIT
  • Retrieve complete project context in one call: brief, file tree, tasks, knowledge, failures, directives, agents, and policies. Use this first when connecting to a project.
    MIT
  • Retrieve Akın Coşkun's technology stack. Optionally filter by category such as frontend, backend, database, or DevOps.
    MIT
  • Save a named search query with an Elasticsearch SQL WHERE clause to filter media assets, enabling reusable and consistent searches.
    MIT