Tech Docs MCP Server

Search PredictHQ's technical documentation from inside your code editor or AI assistant.

When building an integration, your AI coding assistant can query PredictHQ's documentation directly - looking up API parameters, understanding concepts like Beam or Predicted Impact Area, finding code examples, and surfacing the right guidance without you leaving your editor. The Tech Docs MCP server makes this possible by exposing PredictHQ's documentation through the Model Context Protocol (MCP).

Server Details

MCP Server URL

https://docs.predicthq.com/~gitbook/mcp

Transport

Streamable HTTP

Authentication

None — publicly accessible

Available Tools

The Docs MCP server provides tools for searching PredictHQ's documentation and retrieving individual pages - covering API references, integration guides, tutorials, and conceptual content. It provides read-only access to published content only; drafts and unpublished changes are never exposed.

For the full list of available tools and capabilities, see GitBook's MCP documentation.

Connect Your AI Client

Claude Code

To add the Tech Docs MCP server for your own use:

claude mcp add --transport http predicthq-docs https://docs.predicthq.com/~gitbook/mcp

To share the configuration with your team via a .mcp.json file in your project:

claude mcp add --transport http predicthq-docs --scope project https://docs.predicthq.com/~gitbook/mcp

For full instructions, see Claude Code MCP documentation.

Other Clients

The Docs MCP server works with any MCP-compatible client that supports Streamable HTTP transport, including Cursor, Windsurf, and VS Code (GitHub Copilot).

Add the following to your client's MCP configuration:

Refer to your client's documentation for specific configuration steps.

Next Steps

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