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Enables AI models to interact with MySQL databases through a standardized interface.
Evaluates XPath queries on XML and HTML content, both from strings and URLs.
Enables interaction with Jira through a TypeScript-based server, facilitating JQL queries and ticket management.
Provides a web search interface via OpenAPI and MCP, utilizing Google and SearXNG for integration with tools like Open-WebUI and Cherry-Studio.
Implements a Model Context Protocol (MCP) server for accessing policies via a GraphQL API.
Automates stock trading operations on the Zerodha platform using the Model Context Protocol.
Extends AI assistant capabilities by providing a Model Context Protocol (MCP) server for integrating external tools and data sources.
Provides a modular API server built on the Model Context Protocol (MCP) designed to integrate with and expose external APIs.
Transforms Swagger 2.0 API specifications into Model Context Protocol (MCP) tools, enabling AI assistants to directly invoke REST APIs.
Exposes the Tripleshot public API as a set of durable tools for integration with AI assistants and other applications.
Transforms Telegram chat and voice messages into searchable knowledge using AI-powered ingestion and conversational querying via Elasticsearch.
Facilitates human review of AI-generated plans using a web-based interface designed to mimic a merge request experience.
Provides a REST API and Model Context Protocol (MCP) server for Flesh and Blood card game data.
Manages the PRD, Spec, and Plan artifact lifecycle for software projects, exposing tools and prompt templates for AI-powered workflows.
Enables AI-assisted selection of web elements in the browser to precisely locate and modify their corresponding source code.
Enables AI agents to programmatically manage calendar events and access calendar information on macOS.
Provides live npm package download trends to AI assistants for tracking JavaScript library adoption and developer ecosystem growth.
Integrates Google SERP search, images, news, maps, and knowledge graph results into AI clients via Model Context Protocol.
Performs pre-build static analysis of MSBuild solutions to generate dependency graphs, detect build issues, inspect shared imports, and compare configurations for LLM-powered coding assistants.
Ensures compliance with EU AI Act Article 50 for AI-generated content through watermarking, content provenance, and AI detection.
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