io.github.standardbeagle/dart-query

MCPattested
v0.3.5io.github.standardbeagleUnknownUpdated 6mo agonpmGitHub

Dart AI task management MCP with batch operations, DartQL selectors, CSV import, zero context rot

MCP server for Dart AI task management, optimized for batch operations and minimal context usage. Instead of looping through tasks one-by-one (filling your context window with intermediate JSON), dart-query uses DartQL selectors and server-side batch operations to update hundreds of tasks in a single call. A 50-task update that would normally consume ~30K tokens takes ~200 tokens with zero…

Attested build
A verified provenance attestation binds this artifact to the listed repository. Nobody has claimed the listing yet — this proves where the code was built, not who stands behind it.
6mo agoLast update
Package
Authorio.github.standardbeagle
LicenseUnknown
Version0.3.5
Sourcemcp-registry
Trust Status
A
85/100Trusted
Listed in Forge index+10/10
Identity verified · attested build+20/20
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)+5/5
npm maintainer match+0/5
Publisher: add the verified GitHub login to the npm package's maintainers (npm owner add <login>)
CVE scan · clean+30/30
Static analysis · clean+20/20
Paste into Claude Code, Cursor, or any AI assistant to fix all gaps
StatusIdentity verified
PublisherUnverified
SignatureUnsigned
Domain
Provenance✓ Sigstore-verified · dfae514
Dependencies60 resolved+ · none vulnerable
Tool surface27 tools · 4 privileged
Security scan✓ Cleanv0.12.1 · 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

MCP server for Dart AI task management, optimized for batch operations and minimal context usage. Instead of looping through tasks one-by-one (filling your context window with intermediate JSON), dart-query uses DartQL selectors and server-side batch operations to update hundreds of tasks in a single call. A 50-task update that would normally consume ~30K tokens takes ~200 tokens with zero context rot. Visit and copy your token (starts with ). Group | Tools | Purpose |…

Keywords
mcp