Scrape any developer documentation and save it locally as a markdown file using anthropic's MCP to standardize communication between the cli and the
Scrape any developer documentation and save it locally as a markdown file using anthropic's MCP to standardize communication between the cli and the documentation server. That is what the whatsupdoc (downmarked) mcp server brings to an AI assistant: the same capability, reachable through the Model Context Protocol rather than a separate app or dashboard.
A command-line tool for fetching and storing developer documentation locally using the Model Context Protocol (MCP).
The server publishes 1 tool. What each one is for:
Options — The Options tool exposed by this serverInstallation goes through your MCP client rather than a global install: point it at npx on npm and it is fetched when the client starts. The copy-paste blocks for Claude Desktop, Claude Code and Cursor are further down this page.
Plenty of knowledge and memory servers cover similar ground. The differences that matter in practice are scope of access and how much setup stands between you and a working tool call. WhatsUpDoc (Downmarked)'s toolset — Options — is a fair guide to whether it matches your workflow. It is maintained by paradiselabs-ai; worth a glance at recent repository activity before you build anything load-bearing on it.
SyncDev reviews every entry in this directory against the project's own documentation before publishing, and revisits them as servers change.
| Tool | What it does |
|---|---|
| Options | The Options tool exposed by this server. |
{
"mcpServers": {
"whatsupdoc": {
"command": "npx",
"args": ["-y", "npx"]
}
}
}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.