io.github.j7an/nexus-mcp

MCPcommunity
v1.0.0io.github.j7anUnknownUpdated 2mo agoGitHub

Invoke CLI agents (Codex, Claude, OpenCode) as MCP tools with parallel execution

An MCP server that enables AI models to invoke AI CLI agents (Codex, Claude Code, OpenCode) as tools. Provides parallel execution, automatic retries with exponential backoff, JSON-first response parsing, 10 discoverable prompt templates, model tier classification, and persistent preferences through seven MCP tools, four MCP resources, and ten MCP prompts. Nexus MCP is useful whenever a task…

Automatically indexed from public sources. Not yet verified by the developer on Forge.Claim this listing →
2mo agoLast update
Package
Authorio.github.j7an
LicenseUnknown
Version1.0.0
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
DependenciesNot audited
Tool surface
Security scan✓ Cleanv1.0.0 · 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

An MCP server that enables AI models to invoke AI CLI agents (Codex, Claude Code, OpenCode) as tools. Provides parallel execution, automatic retries with exponential backoff, JSON-first response parsing, 10 discoverable prompt templates, model tier classification, and persistent preferences through seven MCP tools, four MCP resources, and ten MCP prompts. Nexus MCP is useful whenever a task benefits from querying multiple AI agents in parallel rather than sequentially: Research & summarization…

Keywords
mcp