io.github.rog0x/string

MCPcommunity
v1.0.2io.github.rog0xUnknownUpdated 4mo agonpmGitHub

String analyzer, diff, templates for AI agents

Advanced string manipulation tools for AI agents, served over the Model Context Protocol (MCP). Analyze text to get detailed metrics: Character count (with and without spaces) Word, sentence, and paragraph counts Estimated reading time Flesch-Kincaid reading level score and grade Unique word count and most common words Transform text with various operations: removeduplicatelines - Remove…

Automatically indexed from public sources. Not yet verified by the developer on Forge.Claim this listing →
4mo agoLast update
Package
Authorio.github.rog0x
LicenseUnknown
Version1.0.2
Sourcemcp-registry
npm@rog0x/mcp-string-tools
GitHubrog0x/mcp-string-tools
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 surface5 tools · none privileged
Security scan✓ Cleanv1.0.2 · 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

Advanced string manipulation tools for AI agents, served over the Model Context Protocol (MCP). Analyze text to get detailed metrics: Character count (with and without spaces) Word, sentence, and paragraph counts Estimated reading time Flesch-Kincaid reading level score and grade Unique word count and most common words Transform text with various operations: removeduplicatelines - Remove duplicate lines from text removeextrawhitespace - Collapse extra whitespace and blank lines extractemails -…

Keywords
mcp