Optical Context MCP runs on your own machine — the client starts it, so there is no endpoint to ping. 137 installs a week from pypi. Last commit 29 Sep 2026.
Compress OCR-heavy PDFs into dense packed images so agents can work with long visual documents.
Today is the operative word: we check Optical Context MCP every 15 minutes and re-read its code on every release. Watch it and you find out the day that stops being true.
This server runs on your own machine — install it with the package manager and the client starts it for you. Package name taken from the official registry entry.
claude mcp add optical-context-mcp -- uvx optical-context-mcp
{
"mcpServers": {
"optical-context-mcp": {
"command": "uvx",
"args": [
"optical-context-mcp"
]
}
}
}
[mcp_servers.optical-context-mcp]
command = "uvx"
args = ["optical-context-mcp"]
{
"mcpServers": {
"optical-context-mcp": {
"command": "uvx",
"args": [
"optical-context-mcp"
]
}
}
}
{
"servers": {
"optical-context-mcp": {
"type": "stdio",
"command": "uvx",
"args": [
"optical-context-mcp"
]
}
}
}
Compress images, PDFs, video, audio, documents & archives via micompress.com
Document conversion and OCR for AI agents: PDF, Office docs, images to text.
Verified OCR with per-value coordinates, plus a workspace agents can file documents into and query.
Generate PDF documents locally with text, headings, and pages. No network and no key.
MinerU document parsing API — PDFs, images, DOCX, PPTX with OCR and batch processing.
Compress PNG images and convert them to or from popular image and document formats.
Document processing over MCP: merge, split and compress PDFs, run OCR, extract document text.
Answers from long PDFs like contracts, leases, and bid packets, with the page number for each point.
Answers built from our own checks of this server.