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Ennodia

User RatingsBe the first to rate and review this MCP server! Enrichment pendingWe haven’t run our AI enrichment pass on this listing yet, so the overview, use cases, and FAQ below may be sparse or missing. We work through the catalog over time β€” check back soon.
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Local MCP server for AI team advice, multi-agent review, Compare, and traceable receipts

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
Manual Client & Custom JSON ConfigExpand JSON β–Ύ

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "ennodia": {
      "command": "npx",
      "args": [
        "-y",
        "ennodia"
      ]
    }
  }
}

πŸ’‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Directory Badge Claim listing AlternativesπŸ’» More in Developer Tools

Documentation Overview

Ennodia

Model Context Protocol (MCP) server for multi-agent review with Compare and traceable receipts

License: MIT Continuous integration Smithery: Ennodia

Ennodia terminal with three completed artificial intelligence reviews

Ennodia gives your primary agent access to installed agent command-line interfaces (CLIs). It tracks each child task and uses model-led Compare to show agreements, disagreements, omissions, and one recommended answer with receipts.

Before work, an optional Plan Advisor can propose a bounded set of harnesses, models, and skills. It does not start the proposed work.

Install

Send this address to your primary agent. The agent can then complete the installation:

text
try-ennodia.cherninlab.com

To run Ennodia directly as a standard input/output (stdio) MCP server, use:

Terminal
npx -y ennodia

To use Bun directly, run bunx ennodia.

For a registry or client installer, use the Ennodia Smithery page.

For manual installation or local development, see Quickstart.

What Ennodia does

  • Discovers available local artificial intelligence (AI) tools
  • Plans a route with a caller-provided category or keyword fallback
  • Estimates preflight input tokens and enforces local caps on that estimate
  • Starts and monitors child tasks
  • Shows status, elapsed time, logs, and failures
  • Cancels tasks and runs explicitly
  • Lets a Plan Advisor propose an inert, validated work plan
  • Compares multiple completed outputs with a Judge
  • Lets a Result Advisor combine the Judge findings into one answer

ennodia_run is the main entrypoint. It plans and starts tasks. It can also use Compare. It returns a run identifier (ID) for use with ennodia_get_run.

See MCP tools for the full tool and parameter reference.

Use Ennodia for work that needs additional model analysis. A run usually takes minutes. Compare adds two serial model passes after the child agents finish.

Judge, Plan Advisor, and Result Advisor

Each role has limited responsibilities:

  • Plan Advisor runs before work when requested. It proposes explicit harness, model, and skill assignments as inert data. Ennodia validates the proposal against a frozen inventory. Plan Advisor cannot execute it. The caller must use a separate call to start the validated plan once.
  • Judge runs during Compare and maps agreements, contradictions, unique evidence, omissions, and risks across completed outputs.
  • Result Advisor follows the Judge. It uses the Judge findings and original outputs to recommend an answer. If Judge analysis is not usable, it uses basis: "candidates-only". This status makes the degradation visible.

Ennodia IO

The separate @cherninlab/ennodia-io package provides a local Hypertext Transfer Protocol (HTTP) and TypeScript interface. Apps can use it with user-supplied keys and installed local agents:

Terminal
npx -y @cherninlab/ennodia-io

See Ennodia IO for supported fields, authentication behavior, cross-origin resource sharing rules, and current limits.

Supported harnesses

  • Codex CLI
  • Claude Code
  • OpenCode
  • Kilo Code
  • Kiro CLI
  • Cline CLI
  • Hermes Agent
  • Antigravity

Adapters stay thin. Core modules contain shared routing, trace data, task state, recovery, and Compare logic.

Evaluated candidates include Gemini CLI, GitHub Copilot CLI, Amp, Aider, Goose, Qwen Code, and Cursor CLI. Ennodia does not include these candidates.

Ennodia can add a candidate after verification of a supported prompt-in and text-out interface. Verification must not use permission-bypass flags or provider-private APIs.

Documentation

  • Installation for Agents: agent-controlled installation
  • Quickstart: manual installation and local development
  • MCP Tools: full tool parameter reference
  • How Ennodia Works: orchestration pipeline
  • Second Opinions: replicate, decompose, and red-team patterns
  • Data Governance: local storage and data movement boundaries
  • Controlled English: ASD-STE100 rules and Ennodia technical terms
  • Comparisons: comparisons with adjacent tools
  • Benchmarks: deterministic bug-recall results
  • Better Audits: prompt rubrics for Compare

Benchmarks

The current benchmark is multi-model-bug-recall. It uses small TypeScript review fixtures and committed bug oracles. Run the deterministic suite with:

sh
bun run bench:bug-recall

Live harness runs are available through bun run bench:bug-recall:live and are kept out of bun run verify.

The current dated fixture snapshot is published in Benchmarks: 4 cases, with ennodia-parallel-compare at 100% recall and 100% precision.

Contribute

Ennodia is under active development. You can submit bug reports and small, focused pull requests. See CONTRIBUTING.md for the local verification workflow.

Read the full README β†’View source on GitHub β†’

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Reviews

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Frequently Asked Questions about Ennodia

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "ennodia": { "command": "npx", "args": ["-y", "ennodia"] } }

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Technical Specs & Signals

CategoryπŸ’»Developer Tools
More technical detailsExpand β–Ύ
TransportSTDIO
RuntimeNode.js
Last updatedSep 7, 2026
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27Quality signal: Emerging Β· 27/100How this signal is calculated β–Ύ
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Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership8/20
Documentation & tools11/30
Adoption & activity1/15
Community engagement0/10

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