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Bible study MCP server with Greek/Hebrew lexicons and Fee & Stuart hermeneutics
Find MCP servers that connect AI assistants to useful tools and data. Explore what each server does, its setup and its documentation.
2781 servers · Page 136 of 232
Bible study MCP server with Greek/Hebrew lexicons and Fee & Stuart hermeneutics
Aribot — governed AI security agent (remote MCP server): threat modeling, code/cloud/pipeline scanning, shadow-AI, compliance & remediation.
Connect the Sponsorable podcast-sponsorship database to Claude, ChatGPT, Cursor, and any MCP client. 5 tools, with
An MCP server that exposes the Routescore public API as tools for Claude, Codex, Cursor, and any MCP-capable agent. 8 tools, with
An MCP server that injects AI code governance rules into Cursor, Claude Code and other MCP clients at generation time.
Time is money. We help you save both. Accept Pay by Bank and card payments via one payment platform, with faster settlement, lower fees…
TrustyData MCP server — French address data quality, geocoding & routing (BAN/INSEE/OSM). Hosted remote MCP at mcp.trustydata.app. 9 tools, with
# Alchemy MCP Server (Legacy — Not Actively Maintained) This open-source Model Context Protocol (MCP) server runs Alchemy's blockchain APIs locally via STDIO. **New…
Build and host full-stack apps with your own AI. Connect the Floot MCP server to Claude, Cursor, ChatGPT, and any MCP client.
# @reapi/mcp-openapi A Model Context Protocol (MCP) server that loads and serves multiple OpenAPI specifications to enable LLM-powered IDE integrations. This server acts as…
Free REST API and MCP server for verified SaaS, AI, and LLM pricing across 490+ tools. OpenAPI 3.1, no API key.
MCP server for government-surplus auction data: live listings, sold-price comps, and Flip Score resale signals.
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.