Mistral OCR MCP Server
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Mistral OCR MCP ServerOCR pages 0-3 of D:\docs\paper.pdf to markdown"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Mistral OCR MCP Server
This MCP server exposes Mistral OCR for local files and public URLs.
Tools
Tool | Use |
| Validate keys, network access, model name, and output directory. |
| Set one runtime key for the current MCP process. |
| Set multiple runtime keys for automatic fallback. |
| Inspect a local file and return PDF page count when available. |
| OCR a local file and return Markdown inline. Best for short tests. |
| OCR a public URL and return Markdown inline. Best for short tests. |
| OCR a local file and save Markdown to disk. Best for PDFs. |
| OCR a public URL and save Markdown to disk. |
Related MCP server: MCP-PDF2MD
Configuration
Prefer multiple keys so the server can automatically switch when one key is unauthorized, rate-limited, or temporarily failing.
[mcp_servers.mistral-ocr]
type = "stdio"
command = "uv"
args = ["--directory", 'D:\34728\play\OCR\mistral-ocr-mcp', "run", "server.py"]
[mcp_servers.mistral-ocr.env]
MISTRAL_API_KEYS = "key1,key2,key3"
MISTRAL_OCR_OUTPUT_DIR = 'D:\34728\play\OCR\outputs'Single-key compatibility is still supported:
MISTRAL_API_KEY = "key1"After editing the Codex config, restart Codex or reload MCP tools so the new server process sees the environment variables.
Recommended Agent Workflow
Call
health_check.For a local PDF, call
list_pages.For a quick sample, call
ocr_from_filewithpages="0".For real work, call
ocr_to_markdown_fileand read the generated.md.
Example:
health_check()
list_pages(file_path="D:\docs\paper.pdf")
ocr_to_markdown_file(file_path="D:\docs\paper.pdf", pages="0-3")To preserve extracted PDF figures, pass include_images=true.
ocr_to_markdown_file(
file_path="D:\docs\paper.pdf",
pages="0-5",
include_images=true,
image_limit=50,
image_min_size=64
)The Markdown file will contain relative image links and the image files will be
saved in a sibling folder named like paper_hash_assets/.
Local Smoke Tests
cd D:\34728\play\OCR\mistral-ocr-mcp
uv sync
$env:MISTRAL_API_KEYS="key1,key2"
.\.venv\Scripts\python.exe -m py_compile server.py test_ocr.py
.\.venv\Scripts\python.exe test_ocr.py "https://arxiv.org/pdf/2201.04234"Notes
MISTRAL_API_KEYSaccepts comma-, semicolon-, or newline-separated keys.HTTP
401,403,429, selected transient failures, and5xxresponses trigger fallback to the next key.HTTP
400usually means a bad request or unsupported file payload and does not trigger key rotation.Saved Markdown uses UTF-8 and is written to
MISTRAL_OCR_OUTPUT_DIRoroutputs/next toserver.py.Cache filenames include a content/options hash. Re-running the same OCR task returns the cached Markdown path unless
use_cache=false.Mistral OCR returns images separately from Markdown. Without
include_images=true, the server saves text/tables only. Withinclude_images=true, the server requestsinclude_image_base64, writes image assets, and rewrites Markdown placeholders such asto local relative paths.
Maintenance
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