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Accesses and interacts with your Readwise library via the Model Context Protocol (MCP).
Performs comprehensive, multi-step research on any topic by leveraging web searches, analysis, and report generation.
Provides code context from local git repositories via semantic search.
Enables Large Language Models to interact with and understand Ant Design component documentation.
Connects to the Inkeep RAG service to retrieve product content and documentation.
Connects Claude Desktop with Anki flashcards using the Model Context Protocol (MCP).
Enables AI assistants to read from and write to your Obsidian vault through the Model Context Protocol.
Augment AI responses with context by retrieving and processing documentation through vector search.
Integrates documentation from Awesome-llms-txt directly into conversations via MCP resources.
Integrates Semgrep static analysis with AI assistants for code analysis, security vulnerability detection, and code quality improvements.
Enables MCP clients to interact with a local Zotero repository.
Connects MCP-compatible clients to Onyx AI knowledge bases, enabling semantic search and chat capabilities.
Provides detailed type information from .NET projects to enhance AI coding agent capabilities.
Enables Claude and other LLMs to interact with the EduBase e-learning platform via the Model Context Protocol (MCP).
Enables AI assistants to browse GitHub repositories, explore directories, and view file contents.
Augments large language models with OI-Wiki content for enhanced problem-solving in competitive programming and ICPC.
Facilitates user integration and queries by providing official PortOne documentation to Large Language Models.
Enables AI assistants to interact with Red Hat's automation and infrastructure ecosystem, encompassing Ansible Automation Platform, Event-Driven Ansible, ansible-lint, and official Red Hat documentation.
Provides comprehensive access to Salesforce B2C Commerce Cloud development features, enabling AI agents to assist with SFCC development tasks.
Provides AI coding agents with real-time intelligence on a project's patterns, conventions, architecture, and historical rationale.
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