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The Standard Metrics MCP is a Model Context Protocol (MCP) server that connects compatible AI clients to the Standard Metrics API, enabling AI-powered analysis of your portfolio data.

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What you can do

The Standard Metrics MCP server allows compatible clients to access your Standard Metrics data. You can use it to:
  • Analyze portfolio performance: Get comprehensive overviews of your portfolio companies.
  • Query financial metrics: Access revenue, growth, burn rate, and other key metrics.
  • Search and filter: Find companies by sector, performance, or custom criteria.
  • Generate reports: Create financial summaries and performance analyses.
  • Track trends: Monitor metrics over time with historical data analysis.
For a comprehensive list of the data you can query, see our available tools.

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Choose your client

Setup varies by client. Follow the guide for the client you use:

Claude

Connect Claude Web or Claude Desktop.

ChatGPT

Connect ChatGPT to your Standard Metrics data.

Other clients

Connect another Streamable HTTP client.
When using an MCP client, your portfolio data is sent to the LLM you’ve configured. Some LLM providers may use this data to train their models. We recommend using an enterprise plan that explicitly opts out of training on your data.

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Example prompts

Once connected, you can ask your AI client to analyze your portfolio data:

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Portfolio overview

“Show me a summary of my portfolio”

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Company analysis

“What are the key metrics for Acme Corp over the last 12 months?”

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Sector comparison

“Compare the revenue growth of all my SaaS companies”

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Financial deep dive

“Create a financial summary for AirChair including net burn and runway”

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Custom queries

“Find all my notes for companies in the AI sector”