RiskModels: MCP server, setup and security

What RiskModels does

According to its repository: “US equity and portfolio risk decomposition (market, sector, subsector and stock-specific), ETF hedge ratios and point-in-time fundamentals from the RiskModels factor model. Hosted MCP with OAuth, or the npm stdio package @riskmodels/mcp.”

An MCP server gives an AI agent extra tools it calls during the conversation: the agent reads their description, decides to use them and gets the result back. RiskModels is listed under Finance and payments, a category of 202 servers in the directory, where it ranks #191 by stars.

Installing and connecting RiskModels

Distribution modes declared in the official MCP registry:

• npm package (Node.js, usually started with npx)
• remote server (streamable-http): you connect to it by URL, with nothing to install locally

Like any MCP server, you declare it in your client's configuration (Claude Desktop, Claude Code, Cursor, VS Code, Codex…): a name, the command that starts it or its URL, and any environment variables. The client then starts it and lists its tools. Project language: TypeScript.

Security: what to check

An MCP server runs code with the rights you give it, and the model reads its tool descriptions: a malicious or compromised server can hijack the agent. Read the code, or pick a maintained and widely used server, before connecting it.

None of the risk signals we track (system access, secrets, missing licence, abandonment) applies to RiskModels. That does not replace reading the code.

Good practice: grant only the rights needed (least privilege), require human approval for irreversible actions, and run the AI agent security check.

Project activity and maintenance

Created on February 22, 2026, the BlueWaterCorp/RiskModels_API repository has 0 stars and 0 forks, with 4 open issues. It has more stars than 4% of the servers in the directory. It received changes this month. Version published in the registry: 2.0.1 (October 15, 2026).

Stars measure attention, not quality: a recent, heavily promoted project can collect them fast, while a useful but niche server will have few.