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Enables semantic search of user-provided ETABS documentation using local embeddings and a Model Context Protocol (MCP) server.
Provides a Model Context Protocol (MCP) server interface to the CanLII API, enabling AI assistants to access Canadian legal information.
Provides a test implementation of an MCP (Model Context Protocol) server for experimentation.
Plays notification sounds via a Model Context Protocol server when tasks are completed by AI agents.
Provides a minimal Model Context Protocol (MCP) server built with H3 v2 for dedicated or nested applications.
Provides comprehensive file system operations for AI models, enabling efficient interaction with codebases and reducing token usage.
Manage VMware Fusion virtual machines programmatically via its REST API as an MCP server.
Provides up-to-date documentation for npm packages directly in your IDE by fetching the latest README from either GitHub or the bundled package.
Simplifies the installation and management of Roo Model Context Protocol (MCP) servers.
Provides a remote server and REST API for high-throughput crawling of fresh posts across numerous X (Twitter) usernames.
Integrates Foxit Cloud API PDF manipulation tools into GitHub Copilot workflows within Visual Studio Code.
Provides unified Apple Human Interface Guidelines and technical documentation for all Apple platforms via the Model Context Protocol.
Exposes the Seitrace Insights API as model-friendly tools, enabling natural-language access to blockchain and token data for AI assistants.
Automates internationalization and localization workflows using AI, specifically for documentation projects integrated within GitHub Actions.
Provides an HTTP API endpoint for a Model Context Protocol (MCP) server, enabling access to data from diverse open-access publishers using an LLM and search API.
Checks PineScript syntax using TradingView's official API.
Enables rapid development of custom tools and data resources for large language models, particularly Claude Desktop, using intuitive Python decorators.
Enforces disciplined programming practices for AI assistants by requiring audit and verification of outputs at each development phase.
Provides a Model Context Protocol (MCP) server enabling LLM applications to store and retrieve memories using LanceDB, an embedded vector database.
Enables AI assistants to interact with Apache Solr for search, indexing, and management tasks.
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