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Provides prompts for retrieving Confluence page content to be used as context with AI assistants.
Enables AI models and applications to interact directly with the Twitter/X platform.
Enables AI assistants to programmatically manage Jira issues through the Jira REST API.
Manages project documentation and context across sessions, enabling AI models to maintain consistent project knowledge.
Integrates with the Qase test management platform, providing tools to manage projects, test cases, test runs, results, plans, suites, and shared steps.
Connects LLMs to DefectDojo, enabling AI-powered security workflows through a Model Context Protocol server.
Serves as an MCP server to facilitate the playback and control of movies using VLC media player.
Provides IP geolocation lookups, including country, region, and city information.
Exposes all AKShare data interfaces as a MCP Server.
Integrates Yango Tech's e-commerce automation platform with Claude Desktop and Cursor IDE for streamlined access to orders, products, and inventory data.
Provides an interface for developers to interact with the CB Insights ChatCBI LLM through AI Agents.
Provides a comprehensive server for browser automation using Playwright.
Provides an MCP server for querying OCI registries and image references.
Provides an experimental F# development toolkit offering interactive FSI capabilities, comprehensive code documentation, and safe code manipulation through the Model Context Protocol.
Provides instant access to the complete Spring Boot documentation and the entire Spring ecosystem through the Model Context Protocol.
Processes Sketch design files to enable AI tools to intelligently analyze designs and generate Vue component code.
Enables AI assistants and tools to directly interact with Payload CMS instances for content management operations.
Enables AI assistants and agents to evaluate responses against various quality criteria using Root Signals evaluators via the Model Context Protocol (MCP).
Provides a shared memory layer to keep AI coding agents synchronized across different tools and tasks, ensuring no context is lost during collaborative development.
Analyzes content for AI search visibility by measuring key signals AI systems use when selecting and citing sources.
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