BitGo, a digital asset infrastructure provider, has launched its Model Context Protocol (MCP) Server, integrating its developer resources directly into AI-native workflows, enabling AI-powered tools to access and interpret BitGo’s documentation and API references using natural language. This development aims to streamline the interaction between AI agents and BitGo’s platform for developers.
The BitGo MCP Server allows developers utilizing AI agents to seamlessly access BitGo documentation, API references, setup guidance, and product information. This integration helps teams find technical details more efficiently within existing development workflows. Through natural-language prompts, developers can explore wallet functionality, review transaction flows, understand staking-related documentation, configure webhooks, and navigate policy features.
Mike Belshe, CEO and Co-founder of BitGo, commented on the release, stating, “AI is changing how developers build, navigate technical systems, and interact with infrastructure. Developers can now treat BitGo as agentic infrastructure — and this is just the first step in making our platform fully accessible to the AI economy. There’s a lot more to come.”
MCP is an open standard designed to enable AI assistants to connect with external information sources. By making its developer resources available via MCP, BitGo intends to broaden how developers engage with its platform, fostering a more streamlined experience across various AI tools, coding environments, and integrated development environments. The BitGo MCP Server is available now and supports MCP-compatible clients, including Claude Code, Claude Desktop, Cursor, ChatGPT, JetBrains IDEs, VS Code, and Windsurf. Setup instructions are accessible through the BitGo Developer Portal.
In addition to the MCP Server, BitGo’s Developer Portal already provides an “Ask AI” tool, allowing users to pose questions directly within documentation pages for immediate guidance.
