Llamaparse MCP

LlamaParse MCP — Usage Guide

Authentication

All tools require a valid session. If a tool call returns an authentication error, ask the user to re-authenticate before retrying. Do not retry automatically without prompting the user.

The server runs as two regional deployments — https://mcp.llamaindex.ai/mcp for accounts on cloud.llamaindex.ai, and https://mcp.eu.llamaindex.ai/mcp for accounts on cloud.eu.llamaindex.ai. Region follows the user's LlamaCloud account, so it is not something to switch mid-session. This plugin is pinned to the Europe endpoint; a token issued for North America is rejected with a 401 naming the other endpoint, and because the URL is fixed in the plugin manifest the fix is to install the llamaparse-mcp plugin instead — tell the user that rather than retrying.

Uploading a File

Every operation (parse, classify, split) requires a fileId obtained by uploading first. There are two upload paths — choose based on where the file lives:

• File accessible via URL — use uploadFileByUrl. Pass the direct download URL and a descriptive file name. This is the preferred path when the user shares a link.
• Local or binary file — call getUploadUrl first to obtain a pre-signed upload URL and token, then POST the file to the returned endpoint. The token is valid for 10 minutes; complete the upload before it expires.

For getUploadUrl, always set purpose to match the intended downstream operation ('parse', 'classify', 'split', etc.) so the server can apply the right storage policy.

Choosing What to Do with a File

Once you have a fileId, pick the tool that matches the user's goal:

These are independent — you can run any combination on the same fileId.

Parsing

Use parseFile to extract readable content. Choose the tier based on document complexity:

• cost_effective — fast and cheap; good for standard PDFs with clean text and simple layouts.
• agentic — slower; use when the document has tables, multi-column layouts, or embedded images that need accurate extraction.
• agentic_plus — most thorough; reserve for documents where extraction quality is critical and cost/latency are acceptable.

When in doubt, start with cost_effective. Escalate to agentic only if the output is missing content or has structural errors.

Set markdown: true (the default) when the extracted content will be rendered or passed to an LLM. Set it to false when you need plain text without formatting.

Classifying

Use classifyFile when the user wants to route or label a document. Define categories as precisely as possible — vague category descriptions reduce confidence. Include a description that explains what distinguishes each category from the others, not just what it is.

Splitting

Use splitFile when a single document contains multiple logical sections that should be handled separately (e.g., a combined PDF of multiple contracts, or a report with distinct chapters). Define categories by the sections you expect, not by generic document types.

Choose allowUncategorized based on how strict the split needs to be:

• 'include' (default) — unknown pages are grouped under an uncategorized segment; safe for exploratory use.
• 'omit' — uncategorized pages are silently dropped; use when you only care about specific sections.
• 'forbid' — the operation fails if any page cannot be categorized; use when completeness is required.

Chaining Operations

Common multi-step patterns:

• Classify then parse — classify to confirm the document type, then parse only if it matches the expected category.
• Split then parse — split a composite document into segments, then call parseFile on each segment's pages separately (re-upload the relevant pages if needed).
• Upload once, process multiple ways — a single fileId can be passed to parseFile, classifyFile, and splitFile independently; you do not need to re-upload.

Index v2 Retrieval

The server also exposes Index v2 knowledge-base tools (getUserProjects, listIndexes, findFilesInIndex, readFileFromIndex, grepFileFromIndex, retrieveFromIndex). Their usage — the agentic-retrieval workflow, tool selection, and grounding rules — is covered by the llamacloud-index skill bundled in this plugin; consult that skill when a task involves retrieving answers from an index.

Rate Limits

The server enforces a per-user rate limit. If you receive a rate limit error, read the Retry-After value from the response and wait that many seconds before retrying. Do not retry immediately in a loop.

Error Handling

• If uploadFileByUrl fails, check whether the URL is publicly accessible and the file type is supported.
• If parseFile returns incomplete content, retry with a higher tier.
• If classifyFile or splitFile time out, the job may still be running on the server — inform the user rather than re-submitting the same job immediately.