Browse and search the AI agent directory
1745 agents found
Interact with any OpenAI SDK Compatible Chat Completions API like OpenAI, Perplexity, Groq, xAI and many more
Analyze large codebases and document collections using high-context models via OpenRouter, OpenAI, or Google AI -- very useful, e.g., with Claude Code
Built on the proven [Zettelkasten](https://www.zettelkasten.space/) method, enhanced with Claude Desktop integration via Model Context Protocol
MCP server for Venice AI - chat, images, TTS, embeddings, and account management
MCP server for KDB-X - TypeScript implementation. Enables natural language interaction with KDB-X databases through Model Context Protocol.
MCP server for Windows CLI interactions
A Model Context Protocol server for Prem AI - enables AI assistants to interact with Prem's ecosystem for chat completions and RAG capabilities.
The $402 Protocol — MCP server, network daemon, and token minting for tokenized attention markets
OpenAI's GPT models, including GPT-3 and GPT-4, are large language models that can be used to summarize text in a concis
Production-validated MCP server for Confluence Data Center - 11 AI-tested tools with enhanced version management and complete API compatibility
MCP server for sharing Claude Code sessions via GitHub Gist with privacy protection
A Model Context Protocol (MCP) server that provides real-time cryptocurrency data and analysis through CoinCap's API. Features include price tracking, market analysis, and historical trends.
MCP server that connects AI compute usage to verified ecological credit retirement on Regen Network. Estimate your session footprint, browse carbon and biodiversity credits, and retire them on-chain via credit card.
Open-source, local-first alternative to Cowork-style computer assistants: real PTY terminal ops, explicit approvals, JSO
MCP Server for multi-agent task assignment and coordination
A Claude Desktop MCP server that helps you track flights in real-time using Flightradar24 data
Advanced GitLab MCP server
Provides Google Vertex AI Search results by grounding a Gemini model with your own private data
MCP server for GitHub operations (PRs, issues, actions) with structured, token-efficient output
MCP server for Bun runtime operations with structured, token-efficient output
