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.
Tools
Ein MCP-Server, der eine Verbindung zu einem verwalteten Index auf LlamaCloud herstellt. Dies ist ein TypeScript-basierter MCP-Server, der eine Verbindung zu einem verwalteten Index auf LlamaCloud implementiert.
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