Unified real-time market intelligence across public and private data with multi-agent research and prediction-market insights.

211 specialized AI roles orchestrated via YAML workflows for parallel, API-key-free multi-LLM collaboration and rapid, high-quality outputs.

TypeScript toolchain enabling AI-driven agents to scaffold, build, run, and test Apple platform apps with rich UI automation, run-time logs, and screenshots.

Connects Postman to AI agents for workspace, collection, and environment automation with code generation and flexible configurations.

The official HOL Standards SDK, implementing the standards found in https://hol.org/docs/standards

mcp-server)** – Real-time interaction with Jupyter Notebooks, allowing AI to edit, document and execute code for data analysis, visualization etc. Compatible with any Jupyter deployment (local, JupyterHub, ...).

Self-hosted MCP Registry and Gateway for enterprise AI Agents

Natural language interface to manage and search Redis data with full Redis data-type support, vector search, EntraID authentication, and containerized deployment.

Model Context Protocol-based toolset for Ghidra enabling autonomous reverse engineering with decompiler integration, automatic renaming, and codebase introspection.

Open-source, scalable tracing backend designed for cost-efficient, storage-backed trace analytics with TraceQL and Grafana integration.

MCP server acting as an interface to the Facebook Ads, enabling programmatic access to Facebook Ads data and management features.

A powerful Kubernetes MCP server with additional support for OpenShift. Besides providing CRUD operations for any Kubernetes resource, this server provides specialized tools to interact with your cluster.

Isolated, parallel environments for coding agents with fresh containers per agent, full command history, and real-time visibility.

MCP server acting as an interface to the Google Ads, enabling programmatic access to Facebook Ads data and management features.

Official Go SDK for MCP with server/client APIs, extensible transports, and OAuth support to distinguish itself through strong spec alignment and tooling.

Stock market data access enabling AI agents to retrieve statements, prices, and news with crypto tickers and historical data.

Python-based bridge enabling AI agents to interact with OpenSearch through a standardized, extensible interface with multiple specialized components.

Unity MCP acts as a bridge, allowing AI assistants (like Claude, Cursor) to interact directly with your Unity Editor via a local MCP (Model Context Protocol) Client. Give your LLM tools to manage assets, control scenes, edit scripts, and automate tasks within Unity.

Unified C# SDK delivering modular MCP client/server capabilities with DI hosting and ASP.NET Core integration, documented samples.

Full Featured MCP Server for MongoDB Databases.

CLI- and SDK-ready interface enabling automated, multi-criteria evaluation of LLM responses via the Atla API, with structured critiques.

Enables interactive LLM workflows by adding local user prompts and chat capabilities directly into the MCP loop.

MCP server integration for DaVinci Resolve providing powerful tools for video editing, color grading, media management, and project control.

The fullstack MCP framework to develop MCP Apps for ChatGPT / Claude & MCP Servers for AI Agents.