Nucleus Mcp
@eidetic-works
About Nucleus Mcp
Nucleus MCP server by Eidetic Works — persistent memory and governance for Claude, Cursor, Windsurf — file-based, no vendor lock-in.
Config
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"nucleus": {
"command": "python3",
"args": [
"-m",
"mcp_server_nucleus"
]
}
}
}Tools
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Overview
What is Nucleus Mcp?
Nucleus Mcp is an MCP server that provides a portable decision log (.brain folder) for AI coding tools. It stores decisions, policies, and plans in plain JSON and markdown files, giving Claude Code, Cursor, and Codex persistent memory across sessions without vendor lock-in.
How to use Nucleus Mcp?
Install via pip install nucleus-mcp or npx -y nucleus-mcp, then run nucleus init --recipe founder to auto-configure your MCP client. Add the remote server at https://relay.nucleusos.dev/mcp for no-install use with ChatGPT, Claude, or Perplexity.
Key features of Nucleus Mcp
- 114 MCP tools across 13 facades
- GROUND: 5-tier execution verification (diff, syntax, imports, tests, runtime)
- ALIGN: One-call human corrections with verdict + delta + DPO
- Persistent engram memory across sessions and tools
- Governance with kill switch, HITL gates, and compliance configs
- Multi-brain orchestration, agent slots, and task dispatch
Use cases of Nucleus Mcp
- Maintain project context across AI coding sessions without re-explaining
- Automatically verify AI-generated code correctness and reliability
- Record and learn from human corrections to improve future outputs
- Generate compliance-ready audit trails for regulated workflows
- Manage and prioritize tasks with escalation and heartbeat monitoring
FAQ from Nucleus Mcp
What makes Nucleus Mcp different from other context tools?
It is file-based (plain JSON + markdown), uses no embeddings, and has no vendor lock-in. All AI tools that support MCP share the same .brain folder.
What are the runtime requirements?
You can run it via Python (pip install) or Node.js (npx -y nucleus-mcp). No Python environment is needed if using npx.
Where is data stored?
Data lives locally in a .brain directory, discovered automatically by environment variable, walking up from the current working directory, or falling back to $HOME/.nucleus/brain.
Does Nucleus Mcp collect telemetry?
Yes, anonymous aggregate usage statistics (command name, duration, error type, versions, OS) are collected, but no engram content, file paths, prompts, API keys, or PII. Telemetry can be disabled with nucleus config --no-telemetry.
Are there any limits in the free version?
The free MIT version includes all 13 tools, 10 resources, 3 prompts, persistent memory, governance, and audit trails. Nucleus Pro ($19/month) adds signed audit reports, full compliance exports, and priority issue support.
Frequently asked questions
What makes Nucleus Mcp different from other context tools?
It is file-based (plain JSON + markdown), uses no embeddings, and has no vendor lock-in. All AI tools that support MCP share the same `.brain` folder.
What are the runtime requirements?
You can run it via Python (pip install) or Node.js (npx -y nucleus-mcp). No Python environment is needed if using npx.
Where is data stored?
Data lives locally in a `.brain` directory, discovered automatically by environment variable, walking up from the current working directory, or falling back to `$HOME/.nucleus/brain`.
Does Nucleus Mcp collect telemetry?
Yes, anonymous aggregate usage statistics (command name, duration, error type, versions, OS) are collected, but no engram content, file paths, prompts, API keys, or PII. Telemetry can be disabled with `nucleus config --no-telemetry`.
Are there any limits in the free version?
The free MIT version includes all 13 tools, 10 resources, 3 prompts, persistent memory, governance, and audit trails. Nucleus Pro ($19/month) adds signed audit reports, full compliance exports, and priority issue support.
Basic information
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