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Analyzing Firebase Firestore, Authentication, and Storage Configuration for a Windsurf Application MCP tools

Production-ready MCP servers that extend AI capabilities through file access, database connections, APIs, and contextual services.

46,565 tools. Last updated 2025-12-25 02:19
  • Create a .windsurfrules configuration file for Windsurf IDE to define project settings, supported languages, and descriptions for AI-assisted development workflows.
    MIT License
  • Retrieve all Firestore databases within a specified Google Cloud Platform project using the project ID for efficient database management and oversight.
  • Configure and establish a new namespace by defining file storage, vector storage, and embedding model settings. Required inputs include name, S3-compatible storage details, vector storage provider, and embedding model specifications.
    MIT License
  • Retrieve and list collections within a Firestore database by specifying the GCP project ID and database ID. Simplify database management and organization.
  • Retrieve authentication status and configuration details to verify user access and system settings on QuantConnect MCP Server for trading strategy orchestration.
    Python
    MIT License
  • Create a new namespace by defining configurations for file storage, vector storage, and embedding models. Facilitates organized content management and semantic search capabilities within the SourceSync.ai MCP Server.

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