Nimble MCP Docs - Nimble Docs

The Nimble Docs MCP server gives AI agents instant access to the full Nimble documentation including API references, guides, code examples, and feature explanations, all searchable in real time. Connect it to Claude, Cursor, VS Code, or any MCP-compatible tool to ask questions about Nimble and get accurate, sourced answers without leaving your workflow. Server URL: https://docs.nimbleway.com/mcp

Available tools

search_nimble_docs

Search across the Nimble Docs knowledge base to find relevant information, code examples, API references, and guides.Use this tool when you need to answer questions about Nimble Docs, find specific documentation, understand how features work, or locate implementation details. The search returns contextual content with titles and direct links to the documentation pages.No API key required — the Docs MCP is publicly accessible.

Setup

No authentication required. Add the server URL to your preferred AI tool.

Claude
Claude Code
Cursor
VS Code

Open Claude Settings and navigate to the Connectors page.
Select Add custom connector.
Enter a name (e.g. nimble-docs) and the server URL:
```
https://docs.nimbleway.com/mcp
```
Select Add.
When chatting in Claude, select the attachments button (the + icon) and select your MCP server to activate it.

Run this command in your terminal:

claude mcp add --transport http nimble-docs https://docs.nimbleway.com/mcp

The server is available in all Claude Code sessions immediately.

Open the command palette with Command + Shift + P (or Ctrl + Shift + P on Windows).
Search for Open MCP settings.
Select Add custom MCP — this opens mcp.json.
Add the following configuration:

{
  "mcpServers": {
    "nimble-docs": {
      "url": "https://docs.nimbleway.com/mcp"
    }
  }
}

Restart Cursor for changes to take effect.

Create or open .vscode/mcp.json in your project.
Add the following configuration:

{
  "servers": {
    "nimble-docs": {
      "type": "http",
      "url": "https://docs.nimbleway.com/mcp"
    }
  }
}

Example prompts

Once connected, ask your AI tool questions like:

“How do I extract a webpage with JavaScript rendering?”
“What’s the difference between async and batch extraction?”
“Show me how to configure cloud storage delivery for extracted results.”
“What parameters does the Search API support?”
“How do I set up a Nimble agent for Amazon product pages?”

Next steps

Nimble MCP Server

Connect AI agents to Nimble’s web data platform for live extraction and search

Agent Skills

Token-efficient CLI skill for web retrieval in Claude Code and Cursor

Agent Skills

MCP Server

Connectors

Proxy

​Available tools

​Setup

​Example prompts

​Next steps

Nimble MCP Server

Agent Skills

Available tools

Setup

Example prompts

Next steps