MCP Server for Chronulus
MCP Server for Chronulus Chat with Chronulus AI Forecasting & Prediction Agents in Claude ### Quickstart: Claude for Desktop #### Install Claude for Desktop…
Find MCP servers that connect AI assistants to useful tools and data. Explore what each server does, its setup and its documentation.
2703 servers · Page 143 of 226
MCP Server for Chronulus Chat with Chronulus AI Forecasting & Prediction Agents in Claude ### Quickstart: Claude for Desktop #### Install Claude for Desktop…
Orthogonal MCP gives AI agents one connection to discover, call, and pay for external tools and data APIs.
Body language for AI agents, on your terms. A consented three-second phone gesture gives your agent an Aligned or Unaligned signal with confidence. 6…
Local verified video rendering through headless Chrome with deterministic checks and output read-back.
# GIMP-MCP: Integrating GIMP with AI through Model Context Protocol **GIMP-MCP** is an initiative to integrate the **Model Context Protocol (MCP)** into the GNU…
A Model Context Protocol server that lets AI assistants understand a Crossplane control plane.
Read-only inspection of browser state, including DOM, forms, console, network, storage and performance.
Local architecture checks for new cross-layer dependencies and structural changes after agent edits.
platformio.MCP Server: MCP integration for PlatformIO development workflows.
Query 2,000+ DeFi vaults across 25+ protocols and 14 EVM chains. Get vault risk scores, APR/APY and TVL history, risk-adjusted yield, DeFi base rates…
MCP server for the Gambot WhatsApp Business API - send WhatsApp messages & templates, manage CRM, leads & campaigns from Claude, Cursor & any…
# Trino MCP Server in Go A high-performance Model Context Protocol (MCP) server for Trino implemented in Go. This project enables AI assistants to…
An MCP server exposes tools or data through the Model Context Protocol so a compatible AI client can use them. Each project has its own installation, authentication and permission requirements.
Open a server’s page for its getting-started notes, compatibility and sources, then follow the original project’s documentation for your AI client.
Entries link to the original documentation. Check access requirements, costs and maintenance there before installing, and grant a server only the access it needs.