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 code required, no dashboards to learn. AI agents interact with MantaRisk the same way a human analyst would — asking questions and getting institutional-grade answers. See our MCP documentation for installation instructions and the full tool list.

Prefer to build it yourself? The same risk engine is available through our REST API.

mantarisk-mcp

User

What is our portfolio exposure to emerging markets?

Tool call

MantaRisk MCP → run portfolio beta analysis

Result

Emerging market exposure: 18%.

User

Where is our concentration risk?

Tool call

MantaRisk MCP → run diversification analysis

Result

One holding drives 24% of portfolio volatility and 21% of CVaR. Three names account for over half of total risk.

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.

Integration

Works with your AI stack

Connect MantaRisk to any MCP-compatible AI assistant or developer framework. One server, full access to portfolio analytics, optimisation, and risk tools — wherever your AI runs.

AI Assistants

Developer Frameworks

LangChain

LlamaIndex

Custom Agents

Architecture

How MantaRisk MCP works

A simple four-step flow connects your AI assistant to institutional-grade portfolio risk intelligence.

01

ChatGPT / Claude

Ask a risk question or trigger a workflow directly inside your chat assistant.

02

MantaRisk MCP Server

The MCP server receives the request, authenticates, and routes it to the risk engine.

03

Risk Intelligence Engine

Institutional-grade analytics run against your portfolio data in real time.

04

Portfolio Insights

Results are returned directly to the chat assistant as structured, actionable intelligence.

Ready to get started?