Bucketeer Docs Local MCP Server

The Bucketeer Docs Local MCP Server bridges the gap between AI assistants and the rich, feature‑flag–centric knowledge base that Bucketeer provides. By exposing a lightweight Model Context Protocol (MCP) interface, it allows assistants such as Claude or Cursor to query and retrieve up‑to‑date documentation on Bucketeer’s experimentation platform, SDKs, targeting rules, and best practices. This solves the common pain point of fragmented or stale documentation: developers no longer need to manually search GitHub or the Bucketeer website; instead, the assistant can pull precise answers directly from the source of truth.

At its core, the server automatically pulls Markdown‑X (MDX) files from the official Bucketeer documentation repository. It parses frontmatter, headers, and body text to build a searchable index that understands Bucketeer‑specific terminology—feature flags, experiments, rollouts, and SDK integrations. The indexing engine assigns relevance scores based on keyword density and full‑text matches, ensuring that the most pertinent sections surface first. Cached JSON artifacts keep the index fast and reduce network traffic, updating only when file SHAs change.

Developers benefit from a set of focused tools. The primary tool, , accepts a natural‑language query and returns the top results with snippets, URLs, and titles. This enables AI assistants to embed contextual documentation directly into conversations or code reviews. Additional tooling can be added later, such as a “generate example” helper that pulls code snippets from the docs. Because the server is agnostic to client implementation, any MCP‑compatible workflow—whether a local desktop assistant or an integrated IDE plugin—can tap into the same endpoint.

Real‑world use cases include onboarding new team members, troubleshooting SDK integration errors, or drafting internal knowledge bases. A developer working on a feature flag rollout can ask the assistant for “how to set up gradual rollouts in the Java SDK” and receive a concise, link‑backed answer without leaving their IDE. Product managers can query “what is the difference between A/B testing and multivariate testing in Bucketeer” to clarify concepts quickly. The server’s ability to stay synchronized with the upstream GitHub repo ensures that new documentation releases are reflected instantly, eliminating manual updates.

Unique advantages of this MCP server stem from its tight integration with Bucketeer’s own documentation structure and the use of MDX frontmatter for metadata extraction. The caching strategy guarantees low latency, while the optional rebuild allows teams to refresh the index on demand. By packaging everything as an MCP “stdio” server, developers can launch it with a single command or through Cursor’s one‑click deeplink, making adoption frictionless. The result is a powerful, developer‑centric knowledge engine that turns static documentation into an interactive AI‑powered resource.