local-model-suitability-mcp

MCPcommunity
v1.1.23Kord Agencies Pte LtdMITUpdated 8d agonpmGitHub

AI model router for agents. Checks whether a local model can handle the task before calling cloud inference. LOCAL/CLOUD verdict saves cost on every call.

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647Downloads/wk
8d agoLast update
Package
AuthorKord Agencies Pte Ltd
LicenseMIT
Version1.1.23
Sourcenpm+mcp-registry
Trust Status
B
60/100Good
Listed in Forge index+10/10
Publisher identity verified+0/25
Publisher: run `forge publish` from the package repo to claim ownership
Ed25519 publish signature+0/10
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>" }
CVE scan · clean+30/30
Static analysis · clean+20/20
npm provenance (Sigstore)+0/5
Publish from GitHub Actions with the --provenance flag
Paste into Claude Code, Cursor, or any AI assistant to fix all gaps
StatusCommunity-indexed
PublisherUnverified
SignatureUnsigned
Domain
Provenance
Dependencies0 resolved · none vulnerable
Tool surface
Security scan✓ Cleanv1.1.23 · 7d ago
EvalsNone
IndexedJun 24, 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

AI model router for agents. Checks whether a local model can handle the task before calling cloud inference. LOCAL/CLOUD verdict saves cost on every call.

Keywords
mcplocal-modelollamamodel-routingcost-optimisationinferenceai-agentsllmedge-aimodel-selectioncloud-vs-local