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Manages and queries knowledge about codebases using vector embeddings.
Accesses and interacts with your Readwise library via the Model Context Protocol (MCP).
Provides insights from an EventCatalog instance directly within an MCP client, such as Claude or Cursor.
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.
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 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.
Processes and queries directories of documents using multimodal Retrieval-Augmented Generation (RAG) capabilities.
Stores AI memories as Obsidian-compatible Markdown files, enabling knowledge graph visualization.
Provides AI assistants with instant, accurate Maven Central dependency intelligence and documentation support for all JVM build tools.
Caches and indexes `llms.txt` documentation locally for lightning-fast, line-accurate lookups.
Provides intelligent software design pattern recommendations through semantic search and vector embeddings.
Transforms AI assistants into 3GPP specification experts by providing direct access to the TSpec-LLM's 535M word dataset.
Empowers AI assistants with comprehensive, up-to-date Minecraft modding documentation for Fabric and NeoForge.
Facilitates high-performance searching and in-depth analysis of RimWorld C# source code and XML configuration for AI assistants.
Automates multiphysics simulations via the MCP protocol, enabling AI agents to control COMSOL Multiphysics.
Provides a comprehensive dependency graph of codebases to enhance AI-assisted refactoring and development workflows.
Extracts and makes queryable domain knowledge, including concepts, naming conventions, and vocabulary, directly from codebases to assist AI coding assistants and developers.
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