LlamaCloud
Connect to and manage data indexes on the LlamaCloud platform.
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
queryparameter to search its specific index - Auto-generates tool names like
get_information_index_namebased 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.
{
"mcpServers": {
"llamacloud": {
"command": "npx",
"args": [
"-y",
"@llamaindex/mcp-server-llamacloud",
"--index",
"10k-SEC-Tesla",
"--description",
"10k SEC documents from 2023 for Tesla",
"--topK",
"5",
"--index",
"10k-SEC-Apple",
"--description",
"10k SEC documents from 2023 for Apple"
],
"env": {
"LLAMA_CLOUD_API_KEY": "<YOUR_API_KEY>"
}
}
}
}
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:
--index "10k-SEC-Tesla" --description "10k SEC documents from 2023 for Tesla" --topK 5
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:
npm install
Build the server:
npm run build
For development with auto-rebuild:
npm run watch
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:
npm run inspector
The Inspector will provide a URL to access debugging tools in your browser.
相關伺服器
Remote MCP Server on Cloudflare
A remote MCP server for Cloudflare Workers with OAuth login support, using Cloudflare KV for storage.
Cloud Analyzer
A server for analyzing cloud infrastructure and services, with local testing support via Localstack.
GPT-SoVITS MCP Server
An MCP server for GPT-SoVITS, providing text-to-speech synthesis, voice cloning, and multi-language support.
MCP Spotify AI Assistant
An AI assistant that controls Spotify features like playback, playlists, and search using the Model Context Protocol (MCP).
WordPress MCP Server
An MCP server for interacting with WordPress sites via the REST API, allowing you to manage posts, pages, and media.
fal-ai/minimax/image-01
Advanced text-to-image generation model using the fal.ai API. Requires a FAL_KEY environment variable.
Remote MCP Server (Authless)
A remote, auth-less MCP server deployable on Cloudflare Workers or locally via npm.
Cloudflare MCP Server
A self-hostable MCP server for deployment on Cloudflare Workers using Durable Objects.
Vast Storage MCP Server
An MCP (Model Context Protocol) server that enables LLMs to interact with VAST Data storage APIs. This server exposes VAST Data management endpoints as tools for comprehensive storage infrastructure management and automation.
Azure MCP
Manage and interact with Microsoft Azure services.