Local MCP Server to query Bucketeer documentation
Local MCP Server to query Bucketeer documentation. That is what the bucketeer docs local mcp server brings to an AI assistant: the same capability, reachable through the Model Context Protocol rather than a separate app or dashboard.
This project provides a Model Context Protocol (MCP) server for Bucketeer documentation. It offers an interface for searching and retrieving content from Bucketeer's feature flag and experimentation platform documentation, enabling AI assistants to provide accurate information about Bucketeer's features and usage.
The server publishes 1 tool. What each one is for:
Requirements — The Requirements tool exposed by this serverThe server ships on npm as @bucketeer/docs-local-mcp-server, so your MCP client can launch it on demand — there is no separate build step. Add the server block to your client's configuration, restart it, and the tools register themselves.
Among the knowledge and memory options, the useful question is rarely "what can it do" but "what does it cost you to run" — permissions, credentials, and how much of your context its toolset consumes. Bucketeer Docs Local's toolset — Requirements — is a fair guide to whether it matches your workflow. It is maintained by bucketeer-io; worth a glance at recent repository activity before you build anything load-bearing on it.
This entry was verified against Bucketeer Docs Local's own documentation before publication; SyncDev keeps the directory reviewed rather than auto-generated.
| Tool | What it does |
|---|---|
| Requirements | The Requirements tool exposed by this server. |
{
"mcpServers": {
"bucketeer-docs-local": {
"command": "npx",
"args": ["-y", "@bucketeer/docs-local-mcp-server"]
}
}
}Add to claude_desktop_config.json, then restart Claude Desktop.
A knowledge graph your assistant keeps between sessions — entities, relations and observations that persist.
Kill hallucinated APIs — version-accurate, up-to-date library documentation injected straight into context.
Your workspace, on speaking terms with AI — search, read and write Notion pages and databases.
A structured scratchpad for hard problems — stepwise reasoning with revisions, branches and visible logic.
Symbol-level code navigation, refactoring and memory for coding agents — the IDE brain your assistant has been missing.
Chat with your second brain — search, read and write vault notes through the Local REST API.