ultrabrain-mcp

ultrabrain-mcp

A local MCP reasoning gate that enables structured engineering thought through step-by-step reasoning, branching, merging, validation, and quality metrics without calling external LLM APIs.

Category
Visit Server

README

ultrabrain-mcp

<p align="center"> <img src="./.github/assets/lcv-ideas-software-logo.svg" alt="LCV Ideas & Software" width="88" /> </p>

<p align="center"> <strong>LCV's local MCP reasoning gate for structured engineering thought.</strong> </p>

<p align="center"> <a href="https://www.npmjs.com/package/@lcv-ideas-software/ultrabrain-mcp"><img alt="npm" src="https://img.shields.io/npm/v/@lcv-ideas-software/ultrabrain-mcp.svg" /></a> <a href="https://github.com/LCV-Ideas-Software/ultrabrain-mcp/actions/workflows/ci.yml"><img alt="CI" src="https://github.com/LCV-Ideas-Software/ultrabrain-mcp/actions/workflows/ci.yml/badge.svg" /></a> <a href="https://ultrabrain-mcp.lcv.dev"><img alt="site" src="https://img.shields.io/badge/site-ultrabrain--mcp.lcv.dev-0f766e.svg" /></a> <a href="./LICENSE"><img alt="License" src="https://img.shields.io/badge/license-Apache--2.0-green.svg" /></a> </p>

Install. npm install -g @lcv-ideas-software/ultrabrain-mcp from npmjs.com, or npm install -g @lcv-ideas-software/ultrabrain-mcp --registry=https://npm.pkg.github.com from the GitHub Packages mirror.

Status. Latest release target: v01.01.00 for npm package 1.1.0. First publication started at v01.00.00. Public GitHub tags use the LCV display convention v00.00.00; npm keeps normal SemVer.

Release

Release Package Date Notes
v01.01.00 1.1.0 2026-05-12 Refinements for depth enforcement, active thought-reference validation, update record returns, real markdown merge output, optional file persistence, and expanded smoke coverage.
v01.00.00 1.0.0 2026-05-12 First LCV Ultrabrain MCP release: branded tool surface, session lifecycle, branching, merging, validation, analysis, prompts, resources, Pages, CI, publish, and StepSecurity baseline.

What It Does

ultrabrain-mcp is an LCV-created MCP server for local, structured reasoning before engineering work is closed. It gives agents a single branded gate for:

  • step-by-step reasoning with branches and revisions;
  • quality metrics, confidence, budget mode, and meta checkpoints;
  • bias detection and counterexample prompts;
  • explicit evidence, assumptions, alternatives, risks, and next actions;
  • session review, validation, metrics, export, prompts, and resources.

The server does not call external LLM APIs. It is a local MCP reasoning scratchpad and quality gate, so source code and private task context stay inside the active MCP host.

Tools

Tool Purpose
ultrabrain_start Create a reasoning session and optionally seed the first thought.
ultrabrain_think Append the canonical Ultrabrain reasoning step.
ultrabrain_update Strengthen an existing thought with evidence, risks, confidence, or metrics.
ultrabrain_branch Create or continue an alternative reasoning path.
ultrabrain_merge Merge branch insights into a synthesis, best-evidence path, or decision.
ultrabrain_validate Check evidence, alternatives, verification, bias, and closure gaps.
ultrabrain_analyze Summarize quality, confidence, labels, bias counts, and recommendations.
ultrabrain_review Render a session as summary, linear chain, tree, markdown, or JSON.
ultrabrain_status Show session state, thought count, branches, and latest quality score.
ultrabrain_history Return recent thought records.
ultrabrain_export Export a session as markdown, text, or JSON.
ultrabrain_metrics Return aggregate session and reasoning metrics.
ultrabrain_templates List built-in LCV engineering reasoning templates.
ultrabrain_reset Clear one session or all in-memory sessions.

Canonical Example

{
  "thought": "Map the failure, list evidence, compare alternatives, and choose the next verification step.",
  "thought_number": 1,
  "total_thoughts": 4,
  "next_thought_needed": true,
  "mode": "hybrid",
  "step_type": "analysis",
  "evidence": ["The failing behavior was reproduced locally."],
  "alternatives": ["patch the caller", "patch the shared parser"],
  "risks": ["a shared parser change can affect unrelated hosts"],
  "next_actions": ["run the focused test", "inspect the shared call path"],
  "quality_metrics": {
    "logical_consistency": 4,
    "completeness": 4,
    "objectivity": 4,
    "practicality": 5,
    "clarity": 5
  },
  "response_format": "json"
}

MCP Configuration

Global npm installation target in the LCV Windows environment:

C:\npm-global\node_modules\@lcv-ideas-software\ultrabrain-mcp

Use the MCP server name ultrabrain in host configs:

{
  "mcpServers": {
    "ultrabrain": {
      "command": "ultrabrain-mcp",
      "args": []
    }
  }
}

Development checkout and global installation are intentionally separate. Do not create a junction or symlink from C:\npm-global\node_modules\@lcv-ideas-software\ultrabrain-mcp to the workspace checkout.

Optional local persistence can be enabled per host with ULTRABRAIN_STATE_DIR or ULTRABRAIN_PERSIST_DIR. When unset, sessions remain process-local.

Development

npm install
npm test
npm run format:public:check
npm pack --dry-run

The smoke test starts the built MCP server over stdio, lists tools, verifies the branded ultrabrain_* surface, exercises session start, thought, branch, merge, validation, status, export, prompts, and resources.

Release Automation

This repository follows the LCV package baseline:

  • CI runs on main pull requests and pushes.
  • Dependabot tracks npm and GitHub Actions updates.
  • Pages deploys the static site from site/ using ultrabrain-mcp.lcv.dev.
  • Auto-tagging derives padded public tags from package.json version.
  • Publish workflow releases to npmjs.com, GitHub Packages, and GitHub Releases.
  • StepSecurity Harden-Runner is enabled on workflows.

Research

See docs/research-matrix.md. Ultrabrain imports ideas only at the architecture level. It does not copy third-party code, text, branding, non-English localization strings, or external model/API behavior.

Links

License

Apache-2.0. See LICENSE, NOTICE, and THIRDPARTY.

<p align="center"> Built by <a href="https://github.com/LCV-Ideas-Software">LCV Ideas & Software</a>. </p>

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured