Etchv
Invisible watermarking and watermark detection for images, PDFs and videos with Etchv.
What it does
Etchv is an MCP server, a connector that lets an AI assistant use it as a tool. It is installed locally as a package and runs on your machine.
From the publisher's description, Electra Index matched it to one capability: document understanding. That makes it a candidate for tasks such as extract data from PDFs or analyze financial documents.
Facts come from the Official MCP Registry, as declared by the publisher. Capabilities are matched automatically (low confidence). None of this is a test of the tool.
At a glance
How to connect
As declared in the Official MCP Registry · not tested by Electra IndexInstall package
- NPM
@etchv-labs/mcp-serverv1.6.0 · runs locally (stdio)
Required: ETCHV_API_KEY, ETCHV_FILES_ROOT (get them from the publisher)
MCP settings (Claude Desktop, Cursor and other MCP clients)
{
"mcpServers": {
"etchv": {
"command": "npx",
"args": [
"-y",
"@etchv-labs/mcp-server"
],
"env": {
"ETCHV_API_KEY": "<your ETCHV_API_KEY>",
"ETCHV_FILES_ROOT": "<your ETCHV_FILES_ROOT>"
}
}
}
}Replace the values in <angle brackets>.
Tasks it helps with
Share of each task's required capabilities it covers| Extract data from PDFs Document Understanding | 50% |
| Analyze financial documents Document Understanding | 50% |
| Analyze patents Document Understanding | 50% |
| Answer questions from internal documents Document Understanding | 50% |
| Fact-check a document Document Understanding | 50% |
| Prepare tax documents Document Understanding | 50% |
| Review contracts Document Understanding | 50% |
| Summarize academic papers Document Understanding | 50% |
Similar tools
Listed for the same task: extract data from PDFs- OcrspaceREMOTELOCALOCR.space MCP — wraps the OCR.space API (ocr.space) for image/PDF → text OCR
- BackroomREMOTELOCALInvoice extraction for agents: submit a PDF, get verified structured data — never a guess
- Taggun MCP by usefulapiREMOTELOCALScan receipts with Taggun OCR from a URL or file and read receipt-validation campaigns
- Mindee MCP by usefulapiREMOTELOCALTurn PDFs and images into typed fields — invoices, receipts, IDs and custom models — via Mindee OCR
- docling.rsREMOTELOCALDocuments to Markdown for agents: PDF layout, tables and OCR, Office, HTML, scans. docling in Rust
- Document & media tools (Apify)REMOTELOCALDocuments to Markdown and PDF, OCR, transcription, TTS, screenshots, domain checks, video frames
Ready-made AI agents
- Elicit74$49/mo · free plan · Prices & score →
- $20/mo · free plan · Prices & score →
- On quote · Prices & score →
- FIZ53Free plan · Prices & score →
Facts & evidence
Each fact shows where it was seen and when.| Fact | Value | Evidence | Source | Last confirmed |
|---|---|---|---|---|
| Install package | @etchv-labs/mcp-server | DECLARED | SRC-001 Official MCP Registry | 1h ago |
| Package registries | npm | DECLARED | SRC-001 Official MCP Registry | 1h ago |
| Local install (package) | yes | DECLARED | SRC-001 Official MCP Registry | 1h ago |
| Remote access (hosted) | no | DECLARED | SRC-001 Official MCP Registry | 1h ago |
| Website | https://etchv.com/docs/mcp?utm_source=mcp-local&utm_medium=registry&utm_campaign=integrations | DECLARED | SRC-001 Official MCP Registry | 1h ago |
| Repository | https://github.com/etchv-labs/mcp-server | DECLARED | SRC-001 Official MCP Registry | 1h ago |
| Registry status | active | DECLARED | SRC-001 Official MCP Registry | 1h ago |
| Version | 1.6.0 | DECLARED | SRC-001 Official MCP Registry | 1h ago |
| MCP server | yes | DECLARED | SRC-001 Official MCP Registry | 1h ago |
Change history
- NEW29 Oct 2026first seen in the index
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Questions about Etchv
How do I connect Etchv?
Install the npm package @etchv-labs/mcp-server. The exact settings are in "How to connect" above, as declared in the Official MCP Registry.
Does Etchv need an API key or token?
Yes. The registry entry lists required values: ETCHV_API_KEY, ETCHV_FILES_ROOT. Get them from the publisher.
What can I use Etchv for?
Based on its description, it is most relevant to: extract data from PDFs, analyze financial documents, analyze patents, answer questions from internal documents.