BitGo has introduced a Model Context Protocol (MCP) server, which allows AI-driven development tools to access its documentation and API resources using natural language queries.
This move represents BitGo’s initial step in aligning its digital asset infrastructure with AI-enabled development processes. Developers working on the BitGo platform can now utilize MCP-compatible clients to seek setup assistance, delve into wallet functionalities, study transaction flows, comprehend staking documentation, set up webhooks, and navigate policy features, all within their existing development environments.
Facilitating AI’s interaction with digital asset infrastructure
MCP is an open standard aimed at enabling AI assistants to interface with external data sources. By exposing its developer resources through this protocol, BitGo aims to transform its platform into ‘agentic infrastructure’, allowing AI agents to programmatically retrieve contextual documentation rather than relying on static references or manual searches.
Currently, the BitGo MCP server is accessible and compatible with various tools such as Claude Code, Claude Desktop, Cursor, ChatGPT, JetBrains IDEs, VS Code, and Windsurf. Setup instructions can be found on the BitGo Developer Portal.
Additionally, the Developer Portal includes an ‘Ask AI’ feature that enables developers to pose questions directly within documentation pages, providing another avenue for obtaining documentation-based guidance.
Industry context
This development aligns with a wider trend in developer tooling where financial infrastructure companies are integrating AI-assisted workflows. As large language models increasingly integrate into software development environments, the capability for platforms to present their documentation and APIs through standardized protocols has become crucial for developer adoption.
BitGo, listed on the NYSE under the ticker BTGO, offers digital asset custody, trading, and finance services primarily to institutional clients. The MCP server launch is an extension of its developer-focused offerings, with further AI tool integrations planned by the company.
