RiskModels MCP server
online · 100% uptimeio.github.BlueWaterCorp/riskmodels·v2.0.1Dividend-adjusted US equity total returns, risk decomposition, attribution & ETF hedge ratios
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0 stars48 downloads/wk
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How RiskModels compares
Against every graded MCP server, from our own scans and uptime checks. Updated after each scan run.
- Safety score
- 99/100
- higher than 99% of 48,255 servers
- Uptime
- 100%
- of our recent checks; the typical remote server answers 100%
- Response time
- 175 ms
- faster than 68% of 30,031 servers
- Downloads a week
- 48
- more than 40% of 12,191 servers with a package
Release history: 4 versions in the registry since 2026-06-10, latest 2026-10-15, typically one every 2 days.
Install RiskModels in Claude Code, Cursor or VS Code
claude mcp add --transport http riskmodels https://riskmodels.app/api/mcp/sse
What the publisher says
From the RiskModels repository's README, as published. We do not edit it. Read it on GitHub
RiskModels provides clean dividend-adjusted total returns, factor risk decomposition, return attribution, and ETF-executable hedge ratios for US equities — over REST, a typed SDK, and a built-in MCP server. The dataset is simulation-grade: it covers on the order of 16,000 US stocks across the full historical panel, while at each month end the model’s headline universe is the largest ~3,000 by market cap—the set the API surfaces for everyday returns, risk, and hedging.
Post-regression outputs (hedge ratios, explained-risk decompositions, and related L1–L3 series) are on daily history from 2007 through present; split- and dividend-adjusted returns (the inputs to the rolling regressions) begin 2006-01-04. The API is AI-agent ready, including a built-in Model Context Protocol (MCP) server for seamless integration with LLMs.
RiskModels API Developer Portal
This repository is the authoritative public API reference for the RiskModels equity risk model API, featuring:
- 📖 Model methodology — ERM3 overview (canonical; also mirrored on riskmodels.net)
- 📚 Comprehensive API Documentation — OpenAPI 3.0.3 specification, guides, and examples
- 🌐 Developer Portal — Beautiful Next.js site (this repo) deployed at riskmodels.app
- 🐍 Python & TypeScript Examples — Production-ready code in examples/
- 🤖 AI Agent Integration — MCP server, OAuth2, and agent manifest
🚀 Quick Links
- Python SDK — AOM quickstart (Google Colab): Open notebook · source: sdk/notebooks/riskmodelsaomcolab.ipynb
- Developer Portal: riskmodels.app
- Live API Docs: riskmodels.net/docs/api/erm3
- ERM3 methodology: riskmodels.app/docs/methodology
- Get API Key: riskmodels.app/get-key
- API Terms: riskmodels.net/terms/api
- Issues: github.com/BlueWaterCorp/RiskModels_API/issues
- PyPI (Python SDK): riskmodels-py
Canonical URLs (REST, OpenAPI, and docs)
Use these only for integrations and tooling:
Important: The hostname api.riskmodels.app is not used for the public API or machine-readable docs. Older links or docs that mention it should be treated as obsolete; use riskmodels.app (apex) as above.
📖 API Overview
The RiskModels API provides institutional-grade equity risk analysis:
Shortened. The full README is on GitHub.
Nothing above is checked by us. What we check is on the safety report.
RiskModels: common questions
- Is RiskModels MCP server safe?
- Yes, by our scan: it is graded A (99/100). Read the RiskModels safety report
- How do I install RiskModels?
- It runs remotely at riskmodels.app. Add it to Claude Code, Cursor, VS Code or Claude Desktop with the snippets above, or call it through the mcp.market gateway without installing anything.
- Does RiskModels need an API key?
- Not as far as the registry entry and our scan can tell: no credentials are declared or required.
- Is RiskModels maintained?
- The last commit was 39 days ago (2026-09-26). The latest release is v2.0.1.
- Is RiskModels up?
- 100% of our last 28 checks got an answer. We check remote servers about four times a day.
- How does RiskModels compare with other MCP servers?
- safety score 99/100 (higher than 99% of 48,255 servers); uptime 100% (of our recent checks; the typical remote server answers 100%); response time 175 ms (faster than 68% of 30,031 servers). Full comparison.