Retrieve the running version of qrz-mcp and the QRZ API contract to detect drift across MCP deployments.
GPL 3.0
198,096 tools. Last updated 2026-06-13 04:05
"MCP to Enable Agents to Use OpenRouter or Google Vertex API" matching MCP tools:
- Configure an existing API key for MCP access by validating it and saving it to the .env file for future requests.MIT
- Search Google AI platform documentation for topics like function calling, Agent Development Kit, or Gemini Pro. Returns matching pages with titles, paths, and excerpts. Supports GEAP and Vertex AI sources. Use get_doc to read full content.MIT
- Find Google Cloud Platform services and documentation by searching local mappings, official websites, and API repositories to identify relevant GCP tools for specific use cases.MIT
- Check if the Prismism MCP server is operational and API keys are properly configured to enable file uploads and link generation from AI agents.MIT
- Retrieve available AI models from OpenRouter for use with AI completions. Configure your Orgo account with an OpenRouter API key to access 400+ models with pagination options.MIT
Matching MCP Servers
- -license-quality-maintenanceConverts any REST API endpoints into MCP tools, enabling AI clients like Cursor and Claude Desktop to call internal services directly.Last updated
- Alicense-qualityCmaintenanceConverts any REST API into MCP-compatible tools instantly by providing an OpenAPI/Swagger spec, enabling seamless integration with AI agents.Last updatedMIT
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.
OpenRouter Models MCP.
- Retrieve the service version and HamQTH API version to verify fleet alignment and detect version drift across MCP deployments.GPL 3.0
- Authenticate with Google to enable AI agents to query NotebookLM for document-based answers with source citations.MIT
- Delete a specific file uploaded to the Gemini API by providing its unique file name (e.g., 'files/abc123xyz'). Returns a success confirmation upon deletion. Works exclusively with Google AI Studio API keys.MIT
- Submit URLs to Google Indexing API for fast crawling and indexing. Use to notify Google about new, updated, or deleted web pages.MIT
- Update capabilities on an MCP server to enable or disable tools, prompts, or resources. Changes override integration settings and take effect immediately.MIT
- Retrieves answers to natural language queries using Google Search, processes them with Vertex AI models, and saves the results to a specified file path for easy access and storage.MIT
- Saves precise code snippets or concise answers from official documentation to a specified file, using a Vertex AI model with Google Search for technical queries. Requires topic, query, and output path.MIT
- Add or update MCP connection configuration on your product listing to make your MCP server auto-discoverable and connectable by other AI agents. Requires owner token.AGPL 3.0
- Upload files to the Gemini API by specifying a local path, returning metadata with unique name and URI. Requires Google AI Studio API keys; supports optional display name and MIME type.MIT
- Send URL update or deletion notifications to Google for immediate crawling via the Indexing API.MIT
- Enable or disable a global (account-scoped) API key by its ID to control access.MIT
- Answer natural language queries by combining Vertex AI's Gemini model with real-time Google Search results, delivering accurate and up-to-date information on demand.MIT
- Retrieve metadata for a specific file uploaded to the Gemini API using its unique file name. Designed for use with Google AI Studio API keys within the MCP Gemini Server framework.MIT
- Send messages to an OpenRouter model, specifying roles like system, user, or assistant, and get a response.MIT