Institutional risk intelligence for AI agents
Connect your AI to real-time portfolio risk analytics.
MCP Server
Use MantaRisk inside your AI assistant
AI agents can now use the MantaRisk MCP server to load portfolios, balance asset allocations and run analytics in real time. No API calls, no dashboards. AI agents interact with MantaRisk the same way a human analyst would — asking questions and getting institutional-grade answers.
User
What is our portfolio exposure to emerging markets?
Tool call
MantaRisk MCP → run portfolio beta analysis
Result
Emerging market exposure: 18%.
User
Run a stress test for a 20% equity drop.
Tool call
MantaRisk MCP → run stress test scenario
Result
Estimated impact on returns −14.2%. Fixed income allocations provide partial offset (6.8% contribution).
User
What are the top factor exposures driving our portfolio?
Tool call
MantaRisk MCP → run factor analysis
Result
Top factors: US (42%), Health Care (18%), CHF/USD (12%). Residual risk: 28%.
User
Rebalance the portfolio for risk parity across its constituents.
Tool call
MantaRisk MCP → run portfolio rebalancing
Result
Updated portfolio allocation generated. 12 trades required. CVaR: -2.72%. Expected returns: 3.64%.
Daily portfolio risk monitoring
Exposure alerts
Automated due diligence
Scenario analysis
AI Tools
Built for AI agents
AI agents can use the MantaRisk MCP server to automate portfolio risk workflows across monitoring, diligence, and analysis tasks.
Architecture
How MantaRisk MCP works
A simple four-step flow connects your AI assistant to institutional-grade portfolio risk intelligence.
ChatGPT / Claude
Ask a risk question or trigger a workflow directly inside your chat assistant.
MantaRisk MCP Server
The MCP server receives the request, authenticates, and routes it to the risk engine.
Risk Intelligence Engine
Institutional-grade analytics run against your portfolio data in real time.
Portfolio Insights
Results are returned directly to the chat assistant as structured, actionable intelligence.
