About
The official MCP Server for the Llama Cloud API
README
The official TypeScript SDK for LlamaParse - the enterprise platform for agentic OCR and document processing.
With this SDK, create powerful workflows across many features:
- Parse - Agentic OCR and parsing for 130+ formats
- Extract - Structured data extraction with custom schemas
- Classify - Document categorization with natural-language rules
- Agents - Deploy document agents as APIs
- Index - Document ingestion and embedding for RAG
Documentation
Installation
npm install @llamaindex/llama-cloud
Quick Start
import LlamaCloud from '@llamaindex/llama-cloud';
const client = new LlamaCloud({
apiKey: process.env['LLAMA_CLOUD_API_KEY'], // This is the default and can be omitted
});
// Parse a document
const job = await client.parsing.create({
tier: 'agentic',
version: 'latest',
file_id: 'your-file-id',
});
console.log(job.id);
File Uploads
import fs from 'fs';
import LlamaCloud from '@llamaindex/llama-cloud';
const client = new LlamaCloud();
// Upload using a file stream
await client.files.create({
file: fs.createReadStream('/path/to/document.pdf'),
purpose: 'purpose',
});
// Or using a File object
await client.files.create({
file: new File(['content'], 'document.txt'),
purpose: 'purpose',
});
MCP Server
Use the Llama Cloud MCP Server to enable AI assistants to interact with the API:
Add to Cursor Install in VS Code
Error Handling
When the API returns a non-success status code, an APIError subclass is thrown:
await client.pipelines.list({ project_id: 'my-project-id' }).catch((err) => {
if (err instanceof LlamaCloud.APIError) {
console.log(err.status); // 400
console.log(err.name); // BadRequestError
}
});
| Status Code | Error Type |
|---|---|
| 400 | BadRequestError |
| 401 | AuthenticationError |
| 403 | PermissionDeniedError |
| 404 | NotFoundError |
| 422 | UnprocessableEntityError |
| 429 | RateLimitError |
| >=500 | InternalServerError |
| N/A | APIConnectionError |
Retries and Timeouts
The SDK automatically retries requests 2 times on connection errors, timeouts, rate limits, and 5xx errors. Requests timeout after 1 minute by default. Functions that combine multiple API calls (e.g. client.parsing.parse()) will have larger timeouts by default to account for the multiple requests and polling.
const client = new LlamaCloud({
maxRetries: 0, // Disable retries (default: 2)
timeout: 30 * 1000, // 30 second timeout (default: 1 minute)
});
Pagination
List methods support auto-pagination with for await...of:
async function fetchAllExtractV2Jobs(params) {
const allExtractV2Jobs = [];
// Automatically fetches more pages as needed.
for await (const extractV2Job of client.extract.list({ page_size: 20 })) {
allExtractV2Jobs.push(extractV2Job);
}
return allExtractV2Jobs;
}
Or fetch one page at a time:
let page = await client.extract.list({ page_size: 20 });
for (const extractV2Job of page.items) {
console.log(extractV2Job);
}
while (page.hasNextPage()) {
page = await page.getNextPage();
}
Logging
Configure logging via the LLAMA_CLOUD_LOG environment variable or the logLevel option:
const client = new LlamaCloud({
logLevel: 'debug', // 'debug' | 'info' | 'warn' | 'error' | 'off'
});
Requirements
- TypeScript >= 4.9
- Node.js 20+, Deno 1.28+, Bun 1.0+, or modern browsers
Contributing
See CONTRIBUTING.md.
Install Llama Cloud Mcp in Claude Desktop, Claude Code & Cursor
unyly install llama-cloud-mcpInstalls into Claude Desktop, Claude Code, Cursor & VS Code — handles npx, uvx and build-from-source repos for you.
First time? Get the CLI: curl -fsSL https://unyly.org/install | sh
Or configure manually
Run in your terminal:
claude mcp add llama-cloud-mcp --env LLAMA_CLOUD_API_KEY="" -- npx -y @llamaindex/llama-cloud-mcpStep-by-step: how to install Llama Cloud Mcp
FAQ
Is Llama Cloud Mcp MCP free?
Yes, Llama Cloud Mcp MCP is free — one-click install via Unyly at no cost.
Does Llama Cloud Mcp need an API key?
Yes, it requires environment variables: LLAMA_CLOUD_API_KEY. Unyly injects them into the config during install.
Is Llama Cloud Mcp hosted or self-hosted?
Self-hosted: the server runs locally on your machine via the install command above.
How do I install Llama Cloud Mcp in Claude Desktop, Claude Code or Cursor?
Open Llama Cloud Mcp on unyly.org, pick your client tab (Claude Desktop, Claude Code, Cursor) and press Install — the config is generated automatically, no JSON editing.
Related MCPs
GitHub
PRs, issues, code search, CI status
by GitHubFilesystem
Secure file operations with configurable access controls.
Memory
Knowledge graph-based persistent memory system.
Template MCP Server
A CLI tool to create a new Model Context Protocol server project with TypeScript support, dual transport options, and an extensible structure
by mcpdotdirectAmap Maps Mcp Server
MCP server for using the AMap Maps API
by duxiaohuiSupabase
Database, auth and storage
by SupabaseEverything
Reference / test server with prompts, resources, and tools.
Git
Tools to read, search, and manipulate Git repositories.
Sequential Thinking
Dynamic and reflective problem-solving through thought sequences.
Time
Time and timezone conversion capabilities.
Compare Llama Cloud Mcp with
Not sure what to pick?
Find your stack in 60 seconds
Author?
Embed badge for your README
Browse similar
All development MCPs
