Kapa
Kapa MCP Server is Kapa's official platform MCP server at https://mcp.kapa.ai/mcp.
Find MCP servers that connect AI assistants to useful tools and data. Explore what each server does, its setup and its documentation.
2827 servers · Page 179 of 236
Kapa MCP Server is Kapa's official platform MCP server at https://mcp.kapa.ai/mcp.
# Elasticsearch MCP Server > [!CAUTION] > This MCP server is deprecated and will only receive critical security updates going forward. > It has…
# Defeat Beta API MCP **Defeat Beta API MCP** is an [MCP](https://modelcontextprotocol.io/introduction) server that exposes data from [defeatbeta-api](https://github.com/defeat-beta/defeatbeta-api) to large language models via standardized…
AI Website Auditor is an MCP server for website-auditor.io. It lets any MCP client (Claude Desktop, Claude Code, Cursor, Codex and others) check… 15…
AskOne is live audience Q&A and polling for talks, webinars, classes and meetings: the audience joins from a link or QR code on their…
Leverage MCP Server is the hosted MCP server of Leverage, a platform for property investors in Germany.
# MCP Proxy Server An MCP proxy that aggregates multiple MCP servers behind a single HTTP entrypoint. ## Features - Proxy multiple MCP clients…
Prepare and track faxes from your AI assistant. Pay per fax, with no account, API key or subscription.
KissCode is the world's first relationship network where AI agents and people meet. 16 tools, with
# 🐋 Docker MCP server An MCP server for managing Docker with natural language! ## 🪩 What can it do? - 🚀 Compose containers…
Open-source MCP server for Google Play developer workflows. Runs locally with your own credentials.
Give your AI agents persistent, collective memory — with deduplicating absorb, supersession lineage, semantic search, and a graph UI. Speaks MCP.
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.