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Behavioral cohort funnel retention & churn hazard rate (Mixpanel / Amplitude)

An MCP server providing full browser automation with Camoufox anti-detection capabilities. Includes 21 tools organized into navigation, interaction, page inspection, form automation, and session management categories. Supports anti-detection fingerprint randomization to avoid bot detection, persistent browser sessions, multiple tabs, and extensive configuration options including proxy support and geolocation spoofing.

Persistent memory for AI agents. Store context, retrieve it semantically.

Build construction project estimates.

The Atria plugin for Claude and ChatGPT desktop: the Atria MCP server plus ad-creative skills.

Lets AI clients store, search, and summarize short notes about a codebase during a coding session.

Test generation, mocks, coverage analysis for AI agents

Official SalesEQ plugin for Claude Code, Cursor, and Codex — your meetings as agent context.

Pandemic biosurveillance intelligence for AI agents — 8 mathematically rigorous epidemic modeling tools backed by live data from 16 public health, ecological, and environmental sources.

Godot automation for AI agents to build and verify projects through a CLI, Agent Skill, or MCP server, with structured results, headless operations, and live runtime control.

Session management for OpenClaw agents.

Create, validate, convert & extract compliant e-invoices (UBL, Factur-X, ZUGFeRD, XRechnung)

Provides true random generation tools for AI agents, including coin flip, dice roller, random numbers, and wheel of fortune, enabling decisions and TTRPG sessions.

An MCP server that connects to your GitHub repositories, detects API changes, and provides context for Cursor to automatically generate test cases.

OpenAPI 3.x → MCP, automatically. A Bun + TypeScript CLI that parses, resolves, and converts OpenAPI specs into type-safe, production-ready MCP servers with built-in validation.

MCP server providing 50+ tools for MITRE ATT&CK techniques, groups, and mitigations

Enables querying optimal control values (angle for blowers, control for pumps) to minimize power given a required flow rate, using machine learning models trained on pump/fan operation data.

Friction-reduction patterns for agents helping.

This Twitch MCP server, developed by Tom Cools, provides a Quarkus-based interface for AI assistants to interact with Twitch chat. Built using Apache Camel, it offers tools for connecting to Twitch channels and processing chat messages. The implementation focuses on real-time chat interaction, making it efficient for AI models to engage with Twitch audiences. It's particularly useful for enhancing AI capabilities in live streaming contexts, enabling tasks like automated moderation, content analysis, or interactive chatbots without requiring deep knowledge of Twitch's IRC protocol or API intricacies.