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Optimizes context for AI coding assistants by enabling them to extract targeted information from files and command outputs, rather than processing large data in its entirety.
Measures webpage performance metrics using Google's Lighthouse, enabling AI assistants to optimize these metrics.
Provides a Model Context Protocol (MCP) server for Django applications, enabling AI assistants to deeply understand and interact with Django codebases.
Evaluates large language models' meta-level reasoning within the interactive puzzle game "Baba Is You".
Provides a comprehensive set of tools for AI-driven development workflows, including file system operations, code analysis, Git operations, code execution, and system information retrieval.
Enables AI-powered IDE tools to access and utilize Apifox project's API documentation as a data source.
Manages Appwrite projects through a Model Context Protocol server, offering tools for databases, users, and more.
Synchronizes Markdown files with Notion pages or databases using the Notion API, bypassing the official Model Context Protocol's inefficiencies.
Integrates Flowise chatflows and assistants into the Model Context Protocol (MCP) ecosystem, enabling dynamic tool registration and simplified configurations.
Provides a curated list of remotely hosted and managed Model Context Protocol (MCP) servers.
Simplifies authorization for Python Model Context Protocol (MCP) servers.
Enables AI assistants to build and test Xcode projects through a standardized Model Context Protocol interface.
Automatically transforms CAP OData services into AI-accessible resources, tools, and prompts with minimal configuration.
Enables AI assistants to interact with a Strapi CMS instance through a standardized interface.
Empowers AI coding agents to precisely automate interactions within web browsers and Electron desktop applications.
Enables secure and structured interaction with Microsoft SQL Server (MSSQL) databases for AI assistants.
Automates device control by providing a screen automation toolkit for interacting with graphical user interfaces.
Provides a lightweight, local RAG memory store for Model Context Protocol (MCP) agents.
Interacts with Model Context Protocol (MCP) servers through a REST API and CLI client.
Evaluates code completion tools' ability to accurately capture a developer's intent and suggest appropriate code snippets in diverse contexts.
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