Hansatic
# **Hansatic MCP — load planning for AI agents** Give your AI agent the ability to pack trucks and shipping containers. This MCP server…
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 87 of 226
# **Hansatic MCP — load planning for AI agents** Give your AI agent the ability to pack trucks and shipping containers. This MCP server…
# Alibaba Cloud Yaochi DB MCP Server Yaochi Database AI Native MCP Server — One MCP Server to manage all Alibaba Cloud databases. [](LICENSE)…
Find which app marketplaces list a company, with installs, ratings, and listing URLs.
List the Google ads a company runs, from the Ads Transparency Center, with a company summary.
MDMA MCP server: get-spec (incl. external data sources), get-prompt, list-prompt-variants, build-system-prompt (with data-source catalog), validate-prompt, list-packages, list-docs, get-doc.
# MotherWise MCP **Certified birth-preparation & matrescence content for AI agents — English + Hungarian.** MotherWise gives AI assistants and agents access to hypnobirthing…
Tessen Grader is an MCP server that grades trading strategies honestly. It takes a strategy written as a declarative AgentSpec, backtests it against…
# ModelRunner MCP Server Official [Model Context Protocol](https://modelcontextprotocol.io) (MCP) server for [ModelRunner](https://modelrunner.ai) — run 100+ AI models across **image, video, audio, and 3D generation**…
MCPheonix is an MCP server built on the Phoenix Framework (Elixir) that exposes Server-Sent Events and JSON-RPC endpoints for MCP clients.
VibeShift Web tester is an MCP server that acts as an automated security engineer for AI coding assistants.
QuickMCP is a .NET toolkit for building and serving Model Context Protocol (MCP) servers from OpenAPI, Swagger, or Google Discovery specifications.
VibeCheck Web tester is an intelligent security agent that integrates with AI coding assistants to analyze code for vulnerabilities and facilitate…
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.