What are the system requirements?
Node.js 18+ and npm are required to run the server.
@bucketeer-io
Basic information
Local MCP Server to query Bucketeer documentation
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"bucketeer-docs-local-mcp-server": {
"command": "npx",
"args": [
"@bucketeer/docs-local-mcp-server",
"build-index"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
Fetch the live tool list by running this server in a temporary sandbox using the button above.
A Model Context Protocol (MCP) server that provides search and retrieval of Bucketeer’s feature flag and experimentation platform documentation. It enables AI assistants to answer questions about Bucketeer’s features and usage by indexing and serving content from the official documentation repository.
Install dependencies (npm install), build the project (npm run build), and build the document index (npm run build:index). Start the server with npm start or run it via npx @bucketeer/docs-local-mcp-server. Configure the server in your MCP client (e.g., Cursor or Claude Desktop) by adding the npx command to its mcpServers configuration or by using the provided Cursor install deeplink.
.mdx files from the GitHub repository.search_docs and get_document.Node.js 18+ and npm are required to run the server.
It fetches `.mdx` files from the `docs/` directory of the [bucketeer-io/bucketeer-docs](https://github.com/bucketeer-io/bucketeer-docs) repository on GitHub.
Files are cached locally as JSON in `files/docs/`, the document index is stored in `files/index/document-index.json`, and a GitHub cache with SHA‑based change detection is kept in `files/docs/github_cache.json`.
Run `npm run build:index` or `npx @bucketeer/docs-local-mcp-server build-index`. Use the `--force` flag to ignore the cache and rebuild everything.
Two tools: `search_docs` (accepts a query string and optional limit) returns ranked documentation snippets, and `get_document` (accepts a document path) returns the full content of that document.
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