io.github.ishan-maheshwari/dicepdf

MCPcommunity
v0.1.0io.github.ishan-maheshwariUnknownUpdated 2mo agonpmGitHub

Local-first PDF tools for AI agents: merge, split, extract, render, compress. Files stay on-device.

Local-first PDF tools for AI agents — a Model Context Protocol server powered by One promise: the agent works on files that never leave the machine. Unlike cloud PDF APIs, DicePDF processes everything in-process on the user's own disk — no uploads, no third-party servers, no egress. PDF wrangling (extract text, merge, split, redact metadata) is one of the most common things an agent needs to do.…

Automatically indexed from public sources. Not yet verified by the developer on Forge.Claim this listing →
2mo agoLast update
Package
Authorio.github.ishan-maheshwari
LicenseUnknown
Version0.1.0
Sourcemcp-registry
npm@dicepdf/mcp
GitHubishan-maheshwari/free-pdf
Trust Status
B
60/100Good
✓Listed in Forge index+10/10
—Publisher identity verified+0/20
→ Publisher: run `forge publish` from the package repo to claim ownership
—Ed25519 publish signature+0/5
→ Included automatically when the publisher runs `forge publish`
—Domain verification+0/5
→ Publisher: host /.well-known/forge.json on the package homepage with { "publisher": "<github-login>" }
—npm Trusted Publishing (Sigstore)+0/5
→ Publish from GitHub Actions with --provenance so the attestation binds this package to this repo
—npm maintainer match+0/5
→ Earned once your identity is verified above and that login is an npm maintainer of this package
✓CVE scan · clean+30/30
✓Static analysis · clean+20/20
Paste into Claude Code, Cursor, or any AI assistant to fix all gaps
StatusCommunity-indexed
PublisherUnverified
SignatureUnsigned
Domain—
Provenance—
Dependencies✓ 60 resolved+ · none vulnerable
Tool surface11 tools · 1 privileged
Security scan✓ Cleanv0.1.0 · 2mo ago
EvalsNone
IndexedJun 13, 2026

Verification confirms publisher identity (repo ownership), not code safety. The security scan covers known CVEs and suspicious install scripts — it cannot prove the absence of malicious code.

About

Local-first PDF tools for AI agents — a Model Context Protocol server powered by One promise: the agent works on files that never leave the machine. Unlike cloud PDF APIs, DicePDF processes everything in-process on the user's own disk — no uploads, no third-party servers, no egress. PDF wrangling (extract text, merge, split, redact metadata) is one of the most common things an agent needs to do. Every other option uploads the user's private documents to a remote API. This one doesn't. Add to…

Keywords
mcp