A community-driven registry for Claude, Cursor, Windsurf, Cline & more. Not affiliated with Anthropic.
20 packages found
Open-source Python library for 73 API connectors — Gmail, Slack, GitHub, Stripe, OpenAI, Anthropic & more. MCP server, O
A Slack bot and MCP client acts as a bridge between Slack and Model Context Protocol (MCP) servers. Using Slack as the i
The AI Operating System for Delphi. 100% native framework with RAG 2.0, autonomous agents, MCP protocol, and universal L
Podcast transcript API — turn any published podcast into clean Markdown with real speaker names. Built for AI agents.
The Mind Palace for AI Agents - HIPAA-hardened Cognitive Architecture with on-device LLM (prism-coder:7b), Hebbian learn
A list of open-source AI projects you can use to generate income easily.
Connect any MCP-compatible AI client (Claude Code, Cursor, Windsurf) to Unity or Godot. 235+ granular tools, a Unity-awa
Witsy: desktop AI assistant / universal MCP client
Official Qorami SDK — JS/Python clients, tool schemas and an MCP server so AI agents check email before sending. https:/
Demo of ADK (Agent Development Kit) as an MCP (Model Context Protocol) client for flight search capabilities.
Action Control for autonomous agents. Check posture. Gate risky actions. Prove execution. Fits your existing agent stack
Email, SMS & phone-call infrastructure for AI agents — send and receive real email and text messages, and place agent-dr
LLM Function Calling Library and CLI with Support for MCP Servers
A coding agent and general agent harness for building and orchestrating agentic applications.
AI as Workspace - An elegant AI chat client. Full-featured, lightweight. Support multiple workspaces, plugin system, cro
The Control Plane for MCP — secure vault, managed runtime, audit trail, and policy-based approvals.
IA na Prática: LLM, RAG, MCP, Agents, Function Calling, Multimodal, TTS/STT e mais
Java AI application development framework (supports LLM-tool,skill; RAG; MCP; Agent-ReAct,Team-Agent). Compatible with j
Klavis AI: MCP integration platforms that let AI agents use tools reliably at any scale
Graph-based tool retrieval for LLM agents — 248 tools → 82% accuracy, 79% fewer tokens. Zero dependencies. OpenAPI / MCP