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  1. Home
  2. 🤖 Coding Agents
  3. Nauro
Nauro logo
Health: ActiveRecent health check succeeded.Last checked 10/11/2026, 11:47:18 PM

Nauro

User RatingsBe the first to rate and review this MCP server!
View Repository11 GitHub StarsTotal stargazers on GitHub for the source repository (11 stars).Visit Website
coding-agentsproject-decisionsdeveloper-toolscontext-management

Helps coding agents retrieve approved project decisions and their reasoning before making changes.

Quick Install

Automated & IDE Setup

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

One-click editor setup isn’t available for this listing yet — we don’t have a confirmed install command, and we’d rather show nothing than point your editor at the wrong package or host. Follow the project’s own setup instructions, linked above.

Manual Client & Custom JSON ConfigExpand JSON â–¾
No confirmed setup config for this listing yet. We only publish a config block when the install details come from the project itself — its README, its docs, or a verified owner. We haven’t found those for Nauro, and we’d rather show nothing than a guess you’d paste into your client. Follow the project’s own setup instructions for the current steps.
Install Directory Badge Claim listing Alternatives🤖 More in Coding Agents

Overview

The Nauro MCP server gives AI coding agents access to approved project decisions, their reasons, and rejected alternatives. It stores the record as local Markdown and makes prior reasoning available across sessions, tools, and handoffs. Use it when a project needs durable decision context beyond files such as AGENTS.md or CLAUDE.md. Retrieval is advisory, while new or changed decisions require explicit approval.

Use cases

•Retrieve prior project reasoning before changing code
•Preserve approved decisions across agent sessions
•Adopt a repository into Claude Code, Codex, or Cursor workflows
•Inspect decision storage and agent configuration
•Review rejected alternatives during planning

Key features

•Retrieves related project decisions
•Stores approved reasoning in local Markdown
•Preserves rejected alternatives
•Supports repository adoption with skills and subagents
•Provides project status and read-only record viewing
•Offers optional cloud synchronization

Capabilities & Tool Schemas

Inspect callable tools, capabilities, and parameters exposed to AI agents by Nauro.

Extracted Tool Capabilities
Retrieves related project decisions
Stores approved reasoning in local Markdown
Preserves rejected alternatives
Supports repository adoption with skills and subagents
Provides project status and read-only record viewing
Offers optional cloud synchronization

How Nauro works

What the Nauro MCP server does

The Nauro MCP server keeps a project decision record for AI-assisted software work. Approved decisions can include the reasoning behind them and alternatives that were rejected. Later agent sessions can retrieve that context before proposing or implementing changes.

Nauro is intended for longer-lived work where multiple sessions, agents, or handoffs need to preserve project direction. It is less necessary for a small repository that already stays oriented through a dependable AGENTS.md or CLAUDE.md file.

How it works

The record is stored locally as plain Markdown when Nauro is used locally. Agents can ask whether an earlier decision relates to a proposed change; for example, nauro check-decision retrieves related reasoning without running an agent or changing the project record.

Retrieval is advisory rather than authoritative enforcement. Nauro does not automatically approve new direction. New or revised decisions require explicit human approval before they become part of the durable record. The system is designed to bring approved reasoning into later sessions rather than replace review.

The project can be adopted for agent workflows with nauro adopt --with-skills --with-subagents. After restarting an agent, the adoption workflow can be invoked with /nauro-adopt in Claude Code, $nauro-adopt in Codex, or @nauro-adopt in Cursor. Existing AGENTS.md content is preserved unless nauro sync is run; its # Manual section survives replacement.

Setup and configuration

Install the CLI with uv tool install nauro, or use pipx install nauro with Python 3.10 or newer. The macOS desktop app can install the CLI, connect agents, set up a project, and provide a read-only viewer for the project record.

For a repository, run the adoption command from its root, then restart the relevant agent. nauro status reports configuration and executable availability. Cursor requires a durable absolute Nauro executable for global MCP wiring; its migration instructions should be followed before changing legacy wiring. Claude Code and Codex retain their existing fallback behavior.

Local use requires no account. Cloud synchronization is optional, and the project states that Nauro sends no product analytics.

Tools and capabilities

The Nauro MCP server supports these documented workflows and capabilities:

  • Retrieve related prior decisions with nauro check-decision.
  • Adopt a repository with agent skills and subagents using nauro adopt.
  • Inspect setup and executable status with nauro status.
  • Initialize a project or bundled demo with nauro init --demo.
  • Review the project record through the macOS app's read-only viewer.
  • Study supported findings from Claude and Codex logs with the bundled nauro-investigator.

The demo shows retrieval of the reasoning behind a fictional budgeting decision. It does not execute an agent or modify decisions.

Limitations and notes

Nauro's retrieval can inform an agent but does not force compliance or make decisions automatically. The record depends on explicit approval for new or revised entries. Cloud sync and hosted MCP are versioned separately from the local stdio MCP contract, store format, CLI, and curated nauro-core API.

Cursor has an additional executable-path requirement for global MCP wiring. The investigator is bounded to supported findings from Claude and Codex logs, with a research notebook available for later runs. The project is marked stable in the 1.x series and is licensed under Apache 2.0.

Read the full README →View source on GitHub →

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

GitHub stars
11
Stargazers on the source repository.
Last commit
8d ago
Most recent push to the default branch.
Directory activity
1 views
Config copies, upvotes, and views on AllMCPs.

Reviews

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Frequently Asked Questions about Nauro

Nauro is an MCP server that connects AI coding agents to a project decision record stored as local Markdown. Its main tools and workflows retrieve related decisions, adopt repositories into agent workflows, inspect configuration, and preserve approved reasoning and rejected alternatives for later sessions.

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Technical Specs & Signals

Category🤖Coding Agents
More technical detailsExpand â–¾
LicenseApache-2.0
ClientsCursor, Claude Code, OpenAI Codex CLI
Last updatedOct 6, 2026
6/6 checks healthy over the last 60d
Views1
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars11
GitHub Star CountTotal stargazers on GitHub representing community popularity (11 stars).
Last commit8d ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Oct 4, 2026
36Quality signal: Fair · 36/100How this signal is calculated ▾
Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools11/30
Adoption & activity6/15
Community engagement0/10

A guidance signal from public completeness & health data — not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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