MCPgee
MCPgee
MCPgeeMCPgee

Nautex

v1.0.0•Coding Agents•stable

MCP server for guiding Coding Agents via end-to-end requirements to implementation plan pipeline

mcp-server
Share:
79
Stars
0
Downloads
0
Weekly
0/5
View on GitHub

What is Nautex?

Nautex is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to mcp server for guiding coding agents via end-to-end requirements to implementation plan pipeline

MCP server for guiding Coding Agents via end-to-end requirements to implementation plan pipeline

This server falls under the Coding Agents category on MCPgee, the world's largest MCP server directory with 33,000+ servers.

Features

  • MCP server for guiding Coding Agents via end-to-end requirem

Use Cases

Guide coding agents from requirements to implementation plans.
hmldns

Maintainer

LicenseMIT
Languagepython
Versionv1.0.0
UpdatedApr 29, 2026
Statushealthy
Maintenanceactive

Works with

ClaudeOpenAIwindowsmacoslinux
View SourceBrowse All Servers

Installation

Manual Installation

npx nautex

Configuration

Configuration Details

Config File

claude_desktop_config.json

Performance

Response Metrics

Response Time< 200ms
ThroughputMedium

Resource Usage

Memory UsageLow
CPU UsageLow

How to Set Up and Use Nautex

Nautex MCP Server integrates the Nautex AI platform with coding agents like Claude Code, Cursor, Codex, OpenCode, and Gemini CLI to bridge the gap between product requirements and code implementation. Acting as an AI Architect and Technical Product Manager, it pulls step-by-step guidance tasks from Nautex AI that contain to-do items, affected file references, and automatically synced requirements. Teams use it to communicate PRDs and TRDs to coding agents without overwhelming them, breaking large features into small, foundational, testable steps.

Prerequisites

  • A Nautex AI account at nautex.ai with an API token generated from nautex.ai/settings/nautex-api
  • uvx installed (part of the uv Python toolchain, install via pip install uv or brew install uv)
  • A Nautex project and implementation plan ID created in the Nautex AI dashboard
  • An MCP-compatible coding agent: Claude Code, Cursor, Codex, OpenCode, or Gemini CLI
1

Create a Nautex AI account and generate an API token

Sign up at nautex.ai and navigate to Settings > Nautex API to create an API token. Copy your Project ID and Plan ID from the Nautex dashboard — you will need all three values during setup.

2

Run the interactive setup command

Run the Nautex setup wizard using uvx. It will prompt for your API token, project ID, plan ID, and which coding agent you are using, then write the necessary config files to your project root.

uvx nautex setup
3

Or run setup non-interactively with flags

Pass all parameters directly to skip confirmation prompts. Replace the placeholder values with your actual token, project ID, plan ID, and agent name (e.g., claude-code, cursor, codex).

uvx nautex setup --token <YOUR_NAUTEX_API_TOKEN> --project <PROJECT_ID> --plan <PLAN_ID> --agent claude-code --yes
4

Register the MCP server with Claude Code

After running setup, register the Nautex MCP server so Claude Code can discover it. The setup wizard may do this automatically, but you can also run it manually.

claude mcp add nautex -s local -- uvx nautex mcp
5

Verify the MCP server is registered

Confirm the Nautex server appears in Claude Code's MCP server list. You should see 'nautex' listed as an available local server.

claude mcp list
6

Open your project and start a coding session

Launch Claude Code in your project directory. The agent will automatically read the synced Nautex tasks from .nautex/config.json and follow the step-by-step implementation guidance from Nautex AI.

cd your-project && claude

Nautex Examples

Client configuration

Nautex is registered via the CLI command rather than a JSON config block. The setup wizard writes agent-specific files automatically, but here is how it registers for Claude Code.

{
  "mcpServers": {
    "nautex": {
      "command": "uvx",
      "args": ["nautex", "mcp"]
    }
  }
}

Prompts to try

Once Nautex is connected, ask your coding agent to fetch and follow the synced requirements from Nautex AI.

- "What are the current Nautex tasks I need to implement?"
- "Show me the next step in the Nautex implementation plan"
- "Which files are referenced in the current Nautex task?"
- "Mark the current Nautex task as complete and show me the next one"

Troubleshooting Nautex

uvx nautex setup fails with 'command not found'

Install uv first: run 'curl -LsSf https://astral.sh/uv/install.sh | sh' (macOS/Linux) or 'pip install uv'. Then retry 'uvx nautex setup'.

Claude Code does not see any Nautex tasks after setup

Run 'claude mcp list' to confirm the server is registered. If it is missing, run 'claude mcp add nautex -s local -- uvx nautex mcp' manually, then verify your .nautex/config.json contains the correct project and plan IDs.

Authentication error: invalid token

Regenerate your API token at app.nautex.ai/settings/nautex-api and re-run 'uvx nautex setup --token <NEW_TOKEN>'. The token is stored in .nautex/.env (git-ignored) and can be edited directly.

Frequently Asked Questions about Nautex

What is Nautex?

Nautex is a Model Context Protocol (MCP) server that mcp server for guiding coding agents via end-to-end requirements to implementation plan pipeline It connects AI assistants to external tools and data sources through a standardized interface.

How do I install Nautex?

Follow the installation instructions on the Nautex GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.

Which AI clients work with Nautex?

Nautex works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.

Is Nautex free to use?

Yes, Nautex is open source and available under the MIT license. You can use it freely in both personal and commercial projects.

Learn More About MCP Servers

Getting Started with MCP

Set up your first MCP server in minutes

MCP Setup Guide

Configure MCP in Claude, Cursor & VS Code

All MCP Tutorials

18+ hands-on guides for developers

MCP FAQ

40+ answers about Model Context Protocol

Nautex Alternatives — Similar Coding Agents Servers

Looking for alternatives to Nautex? Here are other popular coding agents servers you can use with Claude, Cursor, and VS Code.

Dify

★ 142.2k

Production-ready platform for agentic workflow development.

Ruflo

★ 54.0k

🌊 The leading agent orchestration platform for Claude. Deploy intelligent multi-agent swarms, coordinate autonomous workflows, and build conversational AI systems. Features enterprise-grade architecture, self-learning swarm intelligence, RAG integrat

Goose

★ 45.7k

an open source, extensible AI agent that goes beyond code suggestions - install, execute, edit, and test with any LLM

Antigravity Awesome Skills

★ 38.3k

Installable GitHub library of 1,400+ agentic skills for Claude Code, Cursor, Codex CLI, Gemini CLI, Antigravity, and more. Includes installer CLI, bundles, workflows, and official/community skill collections.

AgentScope

★ 25.5k

Build and run agents you can see, understand and trust.

Serena

★ 24.5k

A coding agent toolkit that provides IDE-like semantic code retrieval and editing tools, enabling LLMs to efficiently navigate and modify codebases using symbol-level operations instead of basic file reading and string replacements.

Browse More Coding Agents MCP Servers

Explore all coding agents servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.

Coding AgentsBrowse All Servers

Quick Config Preview

{ "mcpServers": { "nautex": { "command": "npx", "args": ["-y", "nautex"] } } }

Add this to your claude_desktop_config.json or .cursor/mcp.json

Read the full setup guide →

Ready to use Nautex?

Browse our complete directory of 33,000+ MCP servers, read setup guides for your editor, and start building with the Model Context Protocol.

33,000+ ServersFree & Open SourceStep-by-Step Guides
Explore All ServersRead Our Guides