io.github.ejentum/ejentum-mcp

MCPcommunity
v0.2.2io.github.ejentumUnknownUpdated 2mo agonpmGitHub

Reasoning, code, anti-deception, memory harness MCP tools. Stdio or HTTPS api.ejentum.com/mcp

MCP server that improves LLM reasoning on complex, multi-step, or multi-constraint tasks. Before the agent generates, it calls one of eight tools to retrieve a cognitive operation: a structured procedure (numbered steps with the failure pattern to refuse and a falsification test) paired with an executable reasoning topology (a DAG of those steps with decision gates, parallel branches, bounded…

Automatically indexed from public sources. Not yet verified by the developer on Forge.Claim this listing →
2mo agoLast update
Package
Authorio.github.ejentum
LicenseUnknown
Version0.2.2
Sourcemcp-registry
npmejentum-mcp
GitHubejentum/ejentum-mcp
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 surface—
Security scan✓ Cleanv0.2.2 · 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

MCP server that improves LLM reasoning on complex, multi-step, or multi-constraint tasks. Before the agent generates, it calls one of eight tools to retrieve a cognitive operation: a structured procedure (numbered steps with the failure pattern to refuse and a falsification test) paired with an executable reasoning topology (a DAG of those steps with decision gates, parallel branches, bounded loops, meta-cognitive exits, and escape paths). The agent reads both layers before producing its…

Keywords
mcp