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Enhances code editing experiences by providing language support features.
Provides a suite of tools for automated frontend testing, including code analysis, test generation, and test execution.
Enables MCP clients to interact with a local Zotero repository.
Enables developers to build intelligent, document-based Retrieval-Augmented Generation (RAG) applications.
Enables Large Language Models and other MCP clients to interact with Ansys/AGI STK for digital mission engineering.
Enables Retrieval Augmented Generation (RAG) capabilities for Large Language Models (LLMs) by indexing and retrieving relevant information from documents.
Implements a cross-platform C SDK for the Model Context Protocol (MCP) using modern C23.
Provision instant, private, sandboxed environments for common services like databases and message queues, perfect for local development and AI agent integration.
Manages a distributed, graph-based memory bank for AI agents and IDEs, offering contextualized data storage and retrieval via the MCP protocol.
Integrates xAI's Grok API capabilities, offering image understanding, generation, live web search, and advanced reasoning through an MCP server.
Enables AI models to integrate with JustCall APIs through function calling within Model Context Protocol clients like Claude Desktop.
Empowers AI assistants with real-time web search and comprehensive content fetching capabilities.
Connects AI assistants and other clients to the Galaxy bioinformatics platform, enabling interaction with tools, workflows, histories, and data.
Consolidates Notion's REST API into 7 intuitive, composite operations optimized for AI agents.
Performs fast BM25 full-text search for code repositories, seamlessly integrating with Claude Code via MCP.
Enables AI assistants to debug React Native applications by capturing logs, executing code, inspecting state, and controlling navigation.
Manages tasks, answers questions, and automates workflows as an open-source AI agent with an integrated app builder and multi-provider chat.
Equips Claude Code with persistent long-term memory, enabling intelligent recall and context preservation across AI sessions.
Indexes your local documents into a fast vector database, enabling powerful, offline semantic search for AI tools.
Integrate over 200 open-source penetration testing tools into AI assistants, empowering them with autonomous cybersecurity capabilities.
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