PitchBook in Claude: Private Market Data, Diligence and Licensing

The PitchBook integration for Claude allows licensed users to query private-market data directly from their AI assistant. It uses the Model Context Protocol (MCP) to give AI models like Claude secure, permissioned access to PitchBook's research for tasks like M&A buyer research and deal sourcing. This access is governed by your existing PitchBook subscription and does not grant new rights to resell, redistribute, or use the data for AI training.

The business problem: faster access to private market data

For deal teams in private equity, M&A advisory, and corporate development, PitchBook is a critical source of intelligence on companies, investors, funds, and transactions. However, the traditional workflow can be manual and time-consuming. It often involves:

1. Logging into the PitchBook platform.
2. Manually constructing searches and filtering lists.
3. Exporting data to CSV files.
4. Copying and pasting information into investment memos, diligence reports, or market maps.
5. Repeating the process for every new query or data update.

This workflow creates friction and pulls experienced professionals away from higher-value analysis. While AI assistants can automate summarization and drafting, they need a way to access this licensed data that is both secure and compliant with the provider's terms. Simply uploading exported data files is static and raises questions about data permissions. MCP provides the necessary bridge, allowing an AI to act as a research assistant with real-time, authorized access.

Illustrative example: preparing for an M&A buyer research meeting

An associate at a sell-side advisory firm is tasked with creating a long list of potential strategic acquirers for a client, a B2B SaaS company. Their firm has a corporate PitchBook license and has enabled the Claude integration.

Instead of spending hours manually searching and exporting data from the PitchBook web interface, the associate opens Claude and uses the PitchBook MCP tool.

User Prompt: "Using the PitchBook tool, identify publicly traded US software companies with revenue between $500M and $5B that have acquired a B2B SaaS company in the last 36 months. For each, provide a one-sentence business description, list their last three relevant acquisitions with dates, and provide the name of their head of corporate development."

MCP Workflow:

1. Claude recognizes the request requires the PitchBook tool.
2. It authenticates the user's request based on their firm's active PitchBook license and individual permissions.
3. The MCP server translates the natural language query into a structured API call to PitchBook's database.
4. PitchBook's system processes the query and returns the authorized data.
5. Claude formats the data into a clean, readable table directly in the chat interface, citing PitchBook as the source.

The associate can then use this information to build their initial buyer list, saving significant time. The key is that this is for an internal work product. The associate cannot legally export this raw data and send it to a client or use it to populate a commercial software tool. The integration streamlines research; it does not transfer data ownership or usage rights.

Permitted vs. restricted use checklist

Understanding the line between using licensed data for research and improperly distributing it is critical. The PitchBook MCP integration does not change the fundamental terms of your subscription. Refer to your specific license agreement for authoritative guidance.

• Permitted: Using PitchBook data via MCP for internal M&A buyer research.
• Permitted: Summarizing findings from PitchBook in an internal investment committee memo, with attribution.
• Permitted: Asking Claude to compare two companies based on their PitchBook profiles to inform a deal thesis.
• Restricted: Exporting raw data from the AI assistant for redistribution to a client or other third party.
• Restricted: Using PitchBook data retrieved via MCP to train a proprietary AI model.
• Restricted: Including large, un-analyzed PitchBook datasets in a client-facing report without express permission.
• Restricted: Building a commercial product or service that programmatically queries and displays PitchBook data.
• Restricted: Attempting to license or resell PitchBook data that you have accessed through the MCP integration.

For more on this distinction, see our guide on MCP, internal records, and licensed research.

Prerequisites and limitations

Before your team can use the PitchBook integration, several conditions must be met.

Prerequisites:

• Active PitchBook License: Your organization must have an active subscription with PitchBook.
• Integration Enablement: Your PitchBook account administrator may need to enable API or MCP access for your organization.
• AI Tool Support: You must be using an AI model and platform, like Claude, that supports MCP tool use.
• User Authorization: Individual users must be provisioned for access, linking their AI account to their licensed PitchBook seat.

Limitations:

• Entitlement-Based Access: The MCP connection strictly enforces the permissions and data access levels of your specific PitchBook subscription. You cannot query data modules or access features that are not part of your license.
• No Redistribution Rights: This is the most important limitation. The integration grants you a more efficient way to access data for your own internal analysis. It does not grant you ownership of the data or the right to redistribute, resell, or sublicense it. Understanding data licensing rights is crucial.
• Read-Only Functionality: The primary function is data retrieval (read). It does not allow you to write or modify records within the PitchBook platform.
• No AI Training Rights: Your PitchBook license agreement almost certainly prohibits using its content to train machine learning or AI models. MCP provides a query interface, not a training dataset.
• Tool Coverage: The set of available MCP "tools" may not represent 100% of the features available in the full PitchBook web application. Check current vendor documentation for a list of supported functions.

Questions to ask your software provider or implementation team

1. What specific PitchBook subscription tier is required to enable the Claude MCP integration?
2. How are user entitlements from our PitchBook account mapped and enforced through the MCP connection to ensure users only see data they are licensed for?
3. What specific search functions, data points, and company attributes are available as "tools" in the current version of the MCP integration?
4. What kind of audit logs are generated when our team members access PitchBook data via MCP, and where can we access them?
5. Can you confirm our license agreement's terms of service regarding the use of data retrieved via MCP for internal analysis versus any form of external redistribution or derivative works?
6. How does the MCP integration handle rate limits or query quotas associated with our PitchBook license?

Next step with SourceX

While tools like the PitchBook integration help your team use external licensed data more efficiently, your clients and portfolio companies have their own valuable operational data that AI labs and data buyers are looking for. This isn't third-party research like PitchBook's; it's the company's own proprietary records from their CRM, ERP, and other business systems—the unique exhaust of their day-to-day operations.

SourceX helps you identify these opportunities. We build, contract, and manage the supply and transaction layer for AI data, connecting motivated buyers with licensed business data from established US operating companies. As a referral partner, you make a permissioned introduction for companies that may be a fit based on our qualification criteria. SourceX handles the data evaluation, rights review, contracting, and management. You are rewarded for successful introductions that lead to a paid license agreement.

You receive 25% of the platform fees SourceX collects, up to $100,000 per referred company. This is separate from the supplier company's own licensing proceeds; our fee is charged to the buyer. To learn more and get started, visit our partners page.

Related MCP guides

• MCP for Internal Records and Licensed Research: How to Keep Data Sources Separate
• AlphaSense MCP: Connecting AI to Your Licensed Market Intelligence
• MCP for M&A Buyer Research and Market Mapping
• All MCP resources

Sources

• Lovable Agent integrations (Current docs)
• Chronograph MCP launch (October 28 2025)
• Affinity private-capital MCP (Updated July 16 2026)
• AlphaSense MCP overview (Current beta docs)
• PitchBook data in Claude (October 28 2025)
• HubSpot remote MCP GA (April 13 2026)
• Attio MCP (Current vendor page)
• Salesforce hosted MCP GA (April 2026)
• Slack MCP new tools (May 13 2026)
• Snowflake managed MCP (Current vendor docs)

Vendor capabilities change. Check current official documentation before relying on any product detail.