Browse and search the AI agent directory
210 agents found
PIGX 微服务开发平台知识库助手 - 基于 Milvus 向量数据库的智能知识检索
A Model Context Protocol (MCP) server that provides comprehensive access to Rust crate documentation and metadata.
The official MCP server for SEED Design documentation
Multi-agent MCP server providing smart documentation lookup, repository analysis, and web research with relevance-focused filtering
MCP server that provides Grubtech API documentation search and code generation tools for Claude Code.
MCP server for Azure DevOps integration with wikis, test plans, and work items
An intelligent MCP server that serves as a guardian of development knowledge, providing AI assistants with curated access to latest documentation and best practices
MCP server for codewiki.google
MCP server for Julia documentation and source code access
MCP server for Monodraw - Export ASCII art diagrams, create flowcharts, sequence diagrams, and integrate with Claude AI
MCP server that provides tools to fetch documentation for frameworks and libraries
GitHub repo AI teammate helping also with docs
Executive agent automating communication busywork
Arch Linux MCP Server to the Arch Linux ecosystem of the Arch Wiki, AUR, and official repositories for AI-assisted Arch Linux usage on Arch and non-Arch systems. Features include searching Arch Wiki and AUR, getting package info, checking for updates, installing packages securely, and analyzing PKGB
Kapa.ai is an AI-powered chatbot service for developers that automates answering technical questions by learning from te
MCP server for Apple Developer Documentation - Search iOS/macOS/SwiftUI/UIKit docs, WWDC videos, Swift/Objective-C APIs
A repository that provides a structured system for maintaining context and tracking changes in Cursor's AGENT mode conve
H2O LLM Studio - a framework and no-code GUI for fine-tuning LLMs. Documentation: https://docs.h2o.ai/h2o-llmstudio/
Intlayer MCP server. Handle MCP to help IDE to use Intlayer. It build, fill, pull, push, dictionaries
Easiest and laziest way for building multi-agent LLMs applications.
