mcp server
Gemina FileTag
Tag, rename, and enrich PDFs and images. Free tier: 1,500 tags/month, no credit card.
Description as published by the maintainer. Source
- version 1.0.2
- active
- document understanding
active — Most recent push to the repository was 2026-07-31. Dashed tags are derived by ZBS Index from the published description, not stated by the maintainer.
Signals
These are separate measurements of different things. They are deliberately not combined into one score, because a popularity number that mixes website traffic with saves and stars cannot be checked or acted on.
| Signal | Value | What it measures | Window | Observed | Source |
|---|---|---|---|---|---|
| GitHub stars | 1 | Number of GitHub accounts that bookmarked this repository since it was created. It is a bookmark count, not installs, not active users and not quality. | cumulative, all time | GitHub | |
| Last commit | 2026-07-31 | Date of the most recent push to any branch. This is the strongest cheap indicator of whether the project is still maintained. | point in time | GitHub | |
| Open issues | 0 | Open issues plus open pull requests, as GitHub counts them together. A high number can mean an active project or an abandoned one. | as of fetch | GitHub | |
| Latest published version | 1.0.2 | Latest version string the maintainer published to the registry. | as of fetch | Model Context Protocol | |
| Registry record last updated | 2026-05-19 | When the registry record was last updated by its maintainer. | point in time | Model Context Protocol | |
| License | MIT | Licence GitHub detected in the repository. Detection can be wrong; the LICENSE file is authoritative. | as of fetch | GitHub | |
| First listed in the MCP Registry | 2026-05-19 | Date this server was first published to the official MCP Registry. Not a usage or quality measure. | point in time | Model Context Protocol | |
| repository status | active | The repository exists on GitHub and is not archived. This says nothing about how recently it was worked on. | as of fetch | GitHub |
Where to get it
Related, by what their authors tagged them
-
Optical Context MCP
— last commit 2026-04-04, shares document-ai, pdf
Compress OCR-heavy PDFs into dense packed images so agents can work with long visual documents.
-
Synap Memory
— last commit 2026-08-06, shares langchain, llamaindex
Persistent memory for AI agents — log and recall conversation context over MCP.
-
BrowseAI Dev
— last commit 2026-08-02, shares langchain, llamaindex
Evidence-backed web research for AI agents with citations and confidence scores.
-
io.github.cassilup/filewash
— last commit 2026-06-09, shares image-processing, metadata, pdf
Privacy-first file tools for AI agents — PDF & image ops, metadata scrubbing, background removal.
-
e2a — email for AI agents
— last commit 2026-08-06, shares email-automation
Authenticated email gateway for AI agents — per-agent inboxes, HITL approval, SPF/DKIM verified.
-
MuntuAI
— last commit 2026-06-25, shares email-automation
Hosted MCP server for MuntuAI outreach campaigns, leads, senders, domains, and analytics.
-
io.github.AceDataCloud/mcp-face-transform
— last commit 2026-08-02, shares image-processing
AceDataCloud Face Transform MCP: keypoints, beautify, age/gender, swap, cartoon, liveness
-
Color Palette Generator API
— last commit 2026-07-18, shares image-processing
Generate harmonious color palettes — complementary, analogous, triadic. x402 micropayment.
-
Image Resize API
— last commit 2026-07-19, shares image-processing
Resize images from URL — PNG, JPEG, WebP output. x402 micropayment.
-
YTDL RMCP
— last commit 2026-08-06, shares metadata
yt-dlp search, download, metadata, delivery, and Plex workflows over MCP and CLI.
These share tags the maintainers applied themselves, such as document-ai, pdf, langchain, llamaindex. Common tags like "mcp" or "ai" are ignored for this: agreeing with six hundred other projects is not a similarity.
This is not a recommendation and not a test result. It is a map of what the authors said their work is about.
How the author describes it
Topics the maintainer set on GitHub: claude, cursor, document-ai, email-automation, image-processing, invoice-processing, langchain, llamaindex, mcp, mcp-server, metadata, model-context-protocol, pdf, pdf-processing, rag, rag-ingestion, remote-mcp, streamable-http, vector-store-metadata, vscode.
Bring your own setup
We take apart real AI setups every week and show what broke, what cost too much, and what the trace actually said. If you run agents on real work, that is where the useful conversation is.
Join ZBS AI Practice Lab