RegGuard is a sophisticated MCP (Model Context Protocol) server that provides AI-powered regulatory compliance checking for financial marketing
Regguard mcp mcp server lets Claude, Cursor and other MCP clients work with Regguard MCP directly. RegGuard is a sophisticated MCP (Model Context Protocol) server that provides AI-powered regulatory compliance checking for financial marketing content. It leverages OpenAI's GPT-4o-mini model combined with jurisdiction-specific regulatory knowledge to detect violations across multiple financial.
RegGuard is a sophisticated MCP (Model Context Protocol) server that provides AI-powered regulatory compliance checking for financial marketing content. It leverages OpenAI's GPT-4o-mini model combined with jurisdiction-specific regulatory knowledge to detect violations across multiple financial markets.
Once connected, the assistant can call this tool directly:
Prerequisites — The Prerequisites tool exposed by this serverSetup follows the standard MCP pattern: clone or install the server, then register it in your client's configuration file and restart the client. The configuration snippets on this page cover Claude Desktop, Claude Code and Cursor.
Before the server will start you need to supply one environment variable: OPENAI_API_KEY. Keep credentials in your client's env block or a secrets manager rather than committing them.
AI-service servers chain other models into your assistant, turning a single chat into a small production pipeline. Regguard MCP sits in that group, and the shape of its toolset — Prerequisites — tells you what it is really for. Worth comparing against the other ai services servers in this directory before you commit to one, since several overlap in scope but differ sharply in setup cost and permissions.
| Tool | What it does |
|---|---|
| Prerequisites | The Prerequisites tool exposed by this server. |
| Variable | Description | Required |
|---|---|---|
| OPENAI_API_KEY | Credential the server authenticates with. | Yes |
Build a programmable telecommunications stack for connecting telephony services with the Internet via a cloud-based utility.
Search built for AI, not humans — semantic web search that returns model-ready content, plus code context.
Answers, not links — delegate questions to Perplexity's search-grounded models and get cited responses back.
Give your assistant a voice — text-to-speech, voice cloning and audio tools from the ElevenLabs API.
Give your assistant a real code sandbox — isolated cloud VMs for actually running the code it writes.
The ML hub in your context window — search models, datasets, papers and run Spaces from the official server.