Lightning-fast, unlimited parallel deep research with multi-source synthesis and cross-verification across domains.

Java-based backend with dual-process architecture and multi-AI integrations, delivering real-time control, admin UI, and OTA updates for ESP32 devices.

Connect AI models like Claude & GPT with robots using MCP and ROS.

Draw.io Model Context Protocol (MCP) Server

A Ruby Implementation of the Model Context Protocol

A single interface to use and evaluate different agent frameworks

A desktop MCP client designed as a tool unitary utility integration, accelerating AI adoption through the Model Context Protocol (MCP) and enabling cross-vendor LLM API orchestration.

AI-assisted APK analysis with live, context-aware insights and guided reverse engineering via Model Context Protocol.

Unified multi-database integration with dynamic, per-database tools for AI-assisted data access.

Python-based integration framework tightly connects with Plane APIs, enabling multi-transport access and extensible tooling for automated Plane projects and workflows.

No-Code FinOps automation platform with pre-built workflows, HITL controls, and deep cloud integrations for cost optimization and cross-team collaboration.

MassGen coordinates diverse AI agents to solve complex tasks via parallel execution, iterative refinement, and consensus voting with live visualizations.

Connects 500+ apps via Composio, enabling plain-English automation, cross-client compatibility, and team-shared integrations.

Run MCP stdio servers over SSE and SSE over stdio. AI gateway.

Geolocation, ASN, privacy signals, hosting and abuse data from IPLocate.io for robust IP insights.

Open-source desktop AI agent host with universal LLM support, built-in tools, and one-click cloud deployment. It streamlines tool management, multi-language support, and seamless cloud integration for developers and users alike.

VS Code-based extension enabling AI agents to read, edit, and navigate workspace files with symbol search and diagnostics.

Simple, modular, observable Go framework with built-in DI, logging, metrics, and extensible modules for scalable backends.

Open-source MCP server for LinkedIn. Give Claude and any MCP-compatible AI assistant access to profiles, companies, jobs, and messages.

Expose llms-txt to IDEs for development

Unified, Python-powered framework auto-discovers tools, prompts, and resources with enterprise-grade auth, telemetry, and seamless LLM utilities.

MCP server integrating WebScraping.AI with proxy rotation, JS rendering, and sandboxed content for safe, structured data extraction via LLMs.

SSE-based access to OSV vulnerability data for packages by version or commit, with batch and ID lookup.

Local-first hierarchical knowledge graph with Markdown notes, LSP editing, and MCP-based external memory for AI agents.