What is an MCP server?

A server implementing the Model Context Protocol, an open standard (introduced by Anthropic, adopted across major AI tools) that lets AI assistants securely query external systems — like your fund's portfolio database.

Which AI tools work with Foresight's MCP server?

Claude, ChatGPT, and Glean today, alongside Foresight's native AI, with the underlying API and Snowflake warehouse available for anything else.

Is my fund data used to train AI models?

No. Foresight's AI runs on AWS Bedrock, whose no-training policy means Amazon, Anthropic, OpenAI, and other model providers cannot use your data to train or improve their models — explicitly covered under AWS's data processing terms.

How is this different from uploading spreadsheets to ChatGPT?

No manual exports, no stale copies, no data leaving your control in ad hoc files — and answers computed from reconciled, expert-verified data instead of whatever version of a spreadsheet got uploaded.

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MCP for Venture Capital: Your Fund's Data, in the AI Tools You Already Use

Ted Wright, Sales Director

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Diagram titled "A bridge between two cities that previously had no way to reach each other." Side A is the LLM (smart but with no access to your data), connected by an MCP server bridge to Side B, foresight (your portfolio, fund metrics, and cap tables — the source of truth).

MCP (Model Context Protocol) is an open standard that lets AI assistants like Claude and ChatGPT securely connect to external data sources. Foresight's MCP server connects them to your fund's unified portfolio data — so your team can ask portfolio questions directly in the AI tools they already use.

Foresight launched the first conversational AI interface to query unified private market data.

Why VC firms need an MCP server

Your investors already use Claude and ChatGPT daily — for memos, market research, and analysis. But those tools know nothing about your portfolio: your ownership, your fund performance, your KPIs. Copy-pasting spreadsheets into a chat window is slow, error-prone, and a compliance headache. An MCP server closes that gap: the AI queries your verified fund data directly, with permissions intact.

What your team can ask

"How much capital has been deployed out of Fund V?"

"Which portfolio companies can return the fund?"

"Rank our fastest-growing companies by revenue growth."

"What's our fully diluted ownership in [company] after the Series B?"

"Draft a DDQ response on our valuation policy."

"Model our proceeds if [company] exits at $500M."

Answers come from Foresight's reconciled data layer — fund accounting, verified cap tables, extracted deal documents, and expert-checked KPIs — not from the model's imagination.

Where it works

Foresight's MCP server works with Claude, ChatGPT, and Glean, alongside Foresight's own AI on desktop and mobile, an Excel plug-in, unlimited API access, and a hosted Snowflake warehouse. Ask in whichever tool your workflow lives in; the answer comes from the same source of truth.

Why the data layer matters more than the chat layer

Any vendor can bolt a chatbot onto a dashboard. The hard part is what's underneath: ingestion, normalization, entity resolution, reconciliation, and QA across 50+ sources. Foresight does that work first — which is why answers through MCP are defensible to the penny, with lineage back to source documents. AI grounded in your firm's data, not AI experiments without reliable data.

Security: your data is never used to train models

Foresight's AI runs on AWS Bedrock, whose no-training policy means model providers — Amazon, Anthropic, OpenAI, and others — cannot use your data to train or improve their models. Foresight is SOC 2 and ISO 27001 certified and CCPA compliant, with encryption in transit and at rest.

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