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Illustrates how to create a Model Context Protocol (MCP) server in C# for defining command-line or application-callable tools.
Demonstrates how tools can be dynamically overridden across multiple Model Context Protocol servers.
Provides a basic Model Context Protocol (MCP) server demonstration with a web user interface.
Access Vector GraphQL API data for cryptocurrency trading insights and user profiles.
Enables natural language querying and direct manipulation of MySQL databases through Model Context Protocol (MCP) and HTTP interfaces.
Integrates Elastic Cloud Serverless with the GCP Agent Development Kit via an experimental MCP server for AI agent interaction.
Integrates Jira with AI assistants via a Model Context Protocol server, enhancing project management workflows.
Provides access to the Brave Search API for private web, news, image, video, and local searches, along with AI summaries.
Manages Gmail operations by providing a WebSocket server that connects Agent Builder to tools for fetching operations reports and managing tasks.
Echoes selected environment variables from an MCP server process to verify client context propagation.
Provides an MCP-compatible API service to automatically remove watermarks from Sora2 generated videos.
Enables AI agents to dynamically collect user input through automatically generated web forms based on provided field names.
Enables AI assistants to manage all Heroku platform operations, including application, deployment, dyno, logging, and configuration management.
Transforms modern IDEs into intelligent development environments with a comprehensive suite of AI/ML-powered tools for code analysis, prediction, migration, and generation.
Prevents AI coding agents from hallucinating outdated model names by providing instant access to accurate API model IDs, pricing, and specifications for over 46 models across 7 providers.
Facilitate creating and managing scheduling polls directly from AI agents like Claude, ChatGPT, and Gemini.
Manages Ghost blog posts via the Admin API, supporting the lexical format.
Augment AI assistants with 61 structured cognitive tools across 8 modules for enhanced ideation, decision-making, hypothesis tracking, and more.
Generate AI images using Google Gemini and automatically upload them to S3-compatible storage services.
Provides a shared, persistent console environment for AI and users to interact with various shells simultaneously, ensuring real-time visibility and automatic context management.
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