Llamacloud Mcp Server

Overview

What is MCP Server LlamaCloud?

The MCP Server LlamaCloud is a powerful server designed to connect to managed indexes on LlamaCloud. It serves as a bridge between various applications and the LlamaCloud infrastructure, enabling seamless data management and retrieval. This server is particularly beneficial for developers and organizations looking to leverage the capabilities of LlamaCloud for their data processing needs.

Features of MCP Server LlamaCloud

Seamless Integration: The MCP Server allows for easy integration with existing applications, making it a versatile choice for developers.
Managed Indexes: It connects to managed indexes on LlamaCloud, ensuring that data is organized and easily accessible.
Scalability: The server is designed to handle varying loads, making it suitable for both small projects and large-scale applications.
Open Source: Being a public repository, developers can contribute to its development and customize it according to their needs.
Community Support: With a growing community of users and contributors, support and resources are readily available.

How to Use MCP Server LlamaCloud

Installation: Begin by cloning the repository from GitHub. You can use the command:
```
git clone https://github.com/run-llama/mcp-server-llamacloud.git
```
Configuration: After cloning, navigate to the directory and configure the server settings according to your requirements.
Running the Server: Use the provided scripts to start the server. Ensure that all dependencies are installed.
Connecting to LlamaCloud: Follow the documentation to connect your applications to the managed indexes on LlamaCloud.
Monitoring and Maintenance: Regularly monitor the server performance and update it as necessary to ensure optimal operation.

Frequently Asked Questions

What programming languages does MCP Server LlamaCloud support?

The MCP Server is primarily built using languages that are commonly used in server-side development, such as Python and JavaScript.

Is there a cost associated with using MCP Server LlamaCloud?

No, the MCP Server is open-source and free to use. However, users may incur costs related to the LlamaCloud services they utilize.

How can I contribute to the MCP Server LlamaCloud project?

You can contribute by forking the repository, making your changes, and submitting a pull request. The community encourages contributions and collaboration.

Where can I find documentation for MCP Server LlamaCloud?

Documentation is available in the repository itself, typically in a README.md file or a dedicated docs folder.

Can I use MCP Server LlamaCloud for commercial purposes?

Yes, as it is open-source under the MIT license, you can use it for both personal and commercial projects.

Details

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.

{
  "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.

{ "mcpServers": { "mcp-server-llamacloud": { "command": "docker", "args": [ "run", "-i", "--rm", "ghcr.io/metorial/mcp-container--run-llama--mcp-server-llamacloud--mcp-server-llamacloud", "node ./build/index.js" ], "env": { "LLAMA_CLOUD_PROJECT_NAME": "llama-cloud-project-name", "LLAMA_CLOUD_API_KEY": "llama-cloud-api-key" } } } }