LlamaCloud
A local MCP server that integrates with Claude Desktop, enabling RAG capabilities to provide Claude with up-to-date private information from custom LlamaCloud indices.
What is LlamaCloud?
LlamaCloud is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to local mcp server that integrates with claude desktop, enabling rag capabilities to provide claude with up-to-date private information from custom llamacloud indices.
A local MCP server that integrates with Claude Desktop, enabling RAG capabilities to provide Claude with up-to-date private information from custom LlamaCloud indices.
This server falls under the Knowledge & Memory category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- A local MCP server that integrates with Claude Desktop, enab
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx llamacloud-mcp-serverConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
How to Set Up and Use LlamaCloud
The LlamaCloud MCP server connects Claude Desktop to LlamaCloud managed document indices, enabling retrieval-augmented generation over your private document collections. It dynamically exposes each configured LlamaCloud index as a separate query tool (named get_information_<index_name>), so Claude can retrieve accurate, up-to-date information from your custom knowledge bases during conversations. LlamaIndex users and enterprise teams use it to give Claude grounded access to proprietary documents like SEC filings, internal wikis, or research corpora without fine-tuning.
Prerequisites
- A LlamaCloud account with at least one managed index created at cloud.llamaindex.ai
- A LlamaCloud API key (LLAMA_CLOUD_API_KEY) from the LlamaCloud dashboard
- Node.js 18 or later installed (for npx execution)
- Claude Desktop or another MCP-compatible client
Create a LlamaCloud account and index your documents
Sign up at cloud.llamaindex.ai, create a project, and upload or connect your documents to create a managed index. Note the exact index name — it will appear in the tool name the server exposes.
Retrieve your LlamaCloud API key
In the LlamaCloud dashboard, go to Settings and copy your API key. Optionally note your project name if you have multiple projects.
Test the server from the command line
Run the server with your credentials and one or more index configurations to verify it connects and exposes the expected tools.
LLAMA_CLOUD_API_KEY=your_key npx -y @llamaindex/mcp-server-llamacloud \
--index my-index-name \
--description "My private document collection" \
--topK 5Configure Claude Desktop
Add the LlamaCloud MCP server to your Claude Desktop configuration. You can specify multiple --index flags to expose multiple indices as separate tools.
Ask Claude questions grounded in your documents
Start a conversation in Claude Desktop. When you ask about topics covered in your index, Claude will automatically call the appropriate get_information tool to retrieve relevant chunks before answering.
LlamaCloud Examples
Client configuration
Add the LlamaCloud MCP server to Claude Desktop with API key and a named index. This creates a tool called get_information_10k-SEC-Tesla that Claude can call during conversations.
{
"mcpServers": {
"llamacloud": {
"command": "npx",
"args": [
"-y",
"@llamaindex/mcp-server-llamacloud",
"--index", "10k-SEC-Tesla",
"--description", "10k SEC documents from 2023 for Tesla",
"--topK", "5"
],
"env": {
"LLAMA_CLOUD_API_KEY": "your_llama_cloud_api_key"
}
}
}
}Prompts to try
Example prompts that trigger retrieval from your LlamaCloud index during a Claude conversation.
- "What were Tesla's total revenues in fiscal year 2023 according to the 10-K filing?"
- "Summarize the risk factors section from the Tesla 2023 annual report"
- "What does the document say about Tesla's Gigafactory expansion plans?"
- "Find any mentions of supply chain disruptions in the indexed documents"
- "Compare the gross margin percentages across the quarters mentioned in the filing"Troubleshooting LlamaCloud
The tool get_information_<index_name> does not appear in Claude Desktop
Verify the --index argument exactly matches the index name in your LlamaCloud dashboard (case-sensitive). Restart Claude Desktop after updating the MCP config. Run the npx command in a terminal to see startup errors.
Authentication error: 401 when the server starts
Confirm LLAMA_CLOUD_API_KEY is correctly set in the env block. API keys are project-scoped — if you have multiple projects, set LLAMA_CLOUD_PROJECT_NAME to the correct project name (defaults to 'Default').
Retrieval returns empty or irrelevant results
Check that the LlamaCloud index has finished ingesting all documents in the dashboard. Increase --topK (e.g., to 10) for broader retrieval coverage. Re-index if you recently added new documents to the collection.
Frequently Asked Questions about LlamaCloud
What is LlamaCloud?
LlamaCloud is a Model Context Protocol (MCP) server that local mcp server that integrates with claude desktop, enabling rag capabilities to provide claude with up-to-date private information from custom llamacloud indices. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install LlamaCloud?
Follow the installation instructions on the LlamaCloud GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with LlamaCloud?
LlamaCloud works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is LlamaCloud free to use?
Yes, LlamaCloud is open source and available under the MIT License license. You can use it freely in both personal and commercial projects.
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