LlamaCloud MCP Server
A MCP server connecting to multiple managed indexes on LlamaCloud
This is a TypeScript-based MCP server that creates multiple tools, each connected to a specific managed index on LlamaCloud. Each tool is defined through command-line arguments.
Features
Tools
- Creates a separate tool for each index you define
- Each tool provides a
query
parameter to search its specific index - Auto-generates tool names like
get_information_index_name
based on index names
Installation
To use with your MCP Client (e.g. Claude Desktop, Windsurf or Cursor), add the following config to your MCP client config:
The LLAMA_CLOUD_PROJECT_NAME
environment variable is optional and defaults to Default
if not set.
For Claude, the MCP config can be found at:
- On MacOS:
~/Library/Application Support/Claude/claude_desktop_config.json
- On Windows:
%APPDATA%/Claude/claude_desktop_config.json
Tool Definition Format
In the args
array of the MCP config, you can define multiple tools by providing pairs of --index
and --description
arguments. Each pair defines a new tool. You can also optionally specify --topK
to limit the number of results.
For example:
Adds a tool for the 10k-SEC-Tesla
LlamaCloud index to the MCP server. In this example, it's configured to return the top 5 results.
Development
Install dependencies:
Build the server:
For development with auto-rebuild:
To use the development version, replace in your MCP config npx @llamaindex/mcp-server-llamacloud
with node ./build/index.js
.
Debugging
Since MCP servers communicate over stdio, debugging can be challenging. We recommend using the MCP Inspector, which is available as a package script:
The Inspector will provide a URL to access debugging tools in your browser.
remote-capable server
The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.
Un servidor MCP que se conecta a un índice administrado en LlamaCloud . Este servidor MCP está basado en TypeScript y implementa una conexión a un índice administrado en LlamaCloud.
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