Results for “js-qcp”

Installs and configures the official Google Ads MCP Server to connect AI assistants to Google Ads accounts for querying campaigns and retrieving reporting metrics using natural language.

Search models, datasets, Spaces, and papers on the Hugging Face Hub, retrieve repository details and documentation, run compute jobs, and use Gradio Spaces as AI tools via the Hugging Face MCP server.

Generate complete Power Platform custom connectors with Model Context Protocol integration for Copilot Studio, including schema generation, validation, troubleshooting, and certification preparation.

Generates a complete MCP server implementation optimized for Microsoft Copilot Studio, including Power Platform connector schema, custom C# logic, and deployment configuration.

Build, debug, and extend MCP servers and clients that connect AI systems with external tools and data sources.

Design and ship production-ready MCP servers from OpenAPI contracts instead of hand-written tool wrappers. Supports Python and TypeScript, schema validation, and safe evolution.

Installs the HubSpot API client for Node.js and links to HubSpot API documentation for building integrations.

Integrates with Atlassian products to manage project tracking and documentation via MCP protocol. Use for querying Jira issues with JQL filters, creating and updating tickets, searching Confluence pages, managing sprints, and setting up MCP server authentication.

Connects AI assistants to the Hugging Face Hub via MCP server tools to search models, datasets, Spaces, and papers, retrieve repo details and documentation, run compute jobs, and use Gradio Spaces as AI tools.

Integrates with the PagerDuty REST API using the official pdjs client to manage incidents and on-call data.