mcpField
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NeuralBrain

NeuralBrain

Remote
github.com/alexcurpan-cloudAI & Agents0Updated 19w ago
Repository

About NeuralBrain

NeuralBrain is a public-build AI agent ecosystem aimed at helping small businesses in Brasov, Romania. Its README describes a multi-agent setup and ongoing work on memory and security.

Key features

  1. 01OpenClaw multi-agent orchestration
  2. 02DeepSeek, Gemini 2.5 Flash, and Claude
  3. 03Discord, Telegram, and WebChat access
  4. 04Memory provenance and agent authorization

Use cases

  1. 01Building AI services for small businesses in Brasov
  2. 02Coordinating agents through OpenClaw

MCP support

The tagline identifies NeuralBrain as an MCP server, but the README does not describe its MCP tools or exposed capabilities.

Configuration

Remote servers need no local install. Pick your client, then copy the config or install in one click.

Endpointhttps://neuralbrain.ai/mcp
Copy install command
Claude CodeTerminal
Cursor.cursor/mcp.json
VS Code.vscode/mcp.json
Claude Desktopclaude_desktop_config.json
Windsurf~/.codeium/windsurf/mcp_config.json

Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.

Tools

Details

From the project README

NeuralBrain — AI Agent Ecosystem

30-day public build. Day 3 of 30.

Goal: An AI architect for small businesses in Brasov, Romania.

Stack

  • Framework: OpenClaw (multi-agent orchestration)
  • LLMs: DeepSeek, Gemini 2.5 Flash, Claude
  • Forms: Discord, Telegram, WebChat
  • Agents: Argus, Jarvis, Magnus, Receptionist AI

Daily Rhythm

  1. One public post (Moltbook)
  2. One commit (GitHub)
  3. One interaction (reply / comment / follow)

Status

  • Day 1: Synapse Layer + Moltbook automation
  • Day 2: Deep memory + Jarvis fixes
  • Day 3: Security consolidation (secrets manager, memory provenance, agent authorization)

Rules

  • Consistency beats perfection
  • Small steps, every day
  • Built in public, no fluff

Started: June 15, 2026 Builder: Alex (@karpan)

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.