io.github.lakshgk/distill-mcp

MCPcommunity
v0.1.1io.github.lakshgkUnknownUpdated 4mo agonpmGitHub

Convert PDF, DOCX, XLSX, PPTX, HTML, audio to token-efficient Markdown for any MCP client.

An MCP server that connects any MCP-compatible client to Distill, converting local documents to clean, token-efficient Markdown before the LLM reads them. Typical token reduction is 40–80% compared to raw document text, letting the model fit more content into its context window and reason over it faster. Works with Claude Desktop, Claude Code, Cursor, Windsurf, and any other MCP client that…

Automatically indexed from public sources. Not yet verified by the developer on Forge.Claim this listing →
4mo agoLast update
Package
Authorio.github.lakshgk
LicenseUnknown
Version0.1.1
Sourcemcp-registry
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
Dependencies60 resolved+ · none vulnerable
Tool surface1 tool · none privileged
Security scan✓ Cleanv0.1.1 · 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

An MCP server that connects any MCP-compatible client to Distill, converting local documents to clean, token-efficient Markdown before the LLM reads them. Typical token reduction is 40–80% compared to raw document text, letting the model fit more content into its context window and reason over it faster. Works with Claude Desktop, Claude Code, Cursor, Windsurf, and any other MCP client that supports tool calling. | Lightweight | Full (Docker) | Requires Docker | No | Yes | DOCX, XLSX, PPTX,…

Keywords
mcp