GUIDEPOINT MCP & APIs

Incorporate Expert Insights into your AI and Internal Workflows.

Guidepoint gives teams two ways to bring expert knowledge directly into the way they work. MCP connects Guidepoint Library expert interview content to Enterprise AI environments like Claude, while APIs bring Guidepoint Network and Guidepoint Library content into internal portals, dashboards, and analytics workflows.

100,000+ Expert Transcripts

proprietary insight across companies, markets, industries, and themes

5,000+ New Transcripts Monthly

a continuously expanding foundation that compounds over time

100% Compliance Reviewed

content reviewed to support institutional research standards

Source-Linked to Guidepoint360

every insight links directly back to the underlying transcript

See Guidepoint MCP in Action

    MCP for enterprise AI

    Connect Guidepoint Library expert interviews directly to enterprise AI environments like ChatGPT or Claude. MCP lets approved AI tools retrieve relevant transcript-based answers and source links inside the LLM workflow your team already uses.

    Library content API

    Bring Guidepoint Library expert interview content into internal portals, dashboards, and research tools for search, monitoring, and internal distribution. This is the right path when you want transcript content flowing into your own systems outside an LLM interface.

    Expert consultation data feeds

    Pose a question and get synthesized, fully sourced answers from your project transcripts and the Guidepoint Library — with links to supporting quotes for verification.

    Two Ways to Ground Research in Expert Insights

    Dimension Guidepoint APIs Guidepoint MCP
    Best For Powering proprietary platforms, internal tools, dashboards, and data pipelines Bringing Guidepoint expert insights directly into AI-native research workflows
    User Experience Embedded into the systems and interfaces your team already builds and manages Available inside Claude, where analysts can ask questions in natural language
    Integration Model Structured access for custom applications and enterprise systems Model Context Protocol connection designed for AI agents and research assistants
    Workflow FIt Ideal when your team wants to control the end-user experience, data architecture, and downstream use cases Ideal when your team wants fast, conversational access to expert intelligence inside an AI workspace
    Source Attrivbution Can support transcript-level attribution within your own interface or application Every answer links back to the underlying source transcript in Guidepoint360
    Governance Configurable for client-specific controls and enterprise implementation needs Compliance-reviewed content with configurable controls, including off-limits lists and topic restrictions
    Primary Value Flexibility, customization, and integration into proprietary research infrastructure Speed, ease of use, and cited expert intelligence in the flow of AI-enabled analysis

    Built for Control. Ready for Scale.

    MCP and API access respect client-specific permissions, contractual boundaries, and existing entitlement settings. MCP is opt-in, not automatically enabled, and returns only the content a client is cleared to access. API access follows the same production-minded approach, with authenticated keys, structured outputs, and delivery formats designed for use in internal systems.

    This gives research, data, and AI teams a way to standardize how Guidepoint content flows across the organization without adding friction to time-sensitive workflows.

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