
Readyorai
io.github.TedoNeObichaJavaScriptPublished by GitHub account TedoNeObichaJavaScriptv0.1.2Updated Oct 24, 2026
Zero-cost MCP server for local code inspection and best-practice recommendations
Overview
Local, zero-cost MCP server that inspects source code for quality, security and best-practice issues and suggests fixes.
- What you can do
- Inspect a single file or a whole directory for code quality issues
- Get quantitative metrics such as lines of code, complexity and function count
- Compare two file versions to see fixed, introduced or unchanged findings
- Get actionable fix suggestions with context for each finding
- Run structured code review and project health-check prompts
- When to use it
- Useful when you want an assistant to review local code for clean-code, complexity, naming, duplication and security patterns without sending code to an external service, or to track incremental cleanup against a baseline.
- Requirements
- Runs as a local stdio process, typically launched with npx from the readyorai npm package, so Node.js and npm are needed. No API keys or environment variables are declared; analysis runs entirely locally.
Installation
In SourceWeft
- Open Readyorai in the dashboard and add it to a workspace.
- Enable the server for the chats that should use its tools.
Desktop only via STDIO. STDIO servers start a local process, so they need the SourceWeft desktop host.
Other MCP clients
Follow the launch instructions in the repository.
README
ReadyOrAI
Zero-cost MCP server for local code inspection. Analyzes your code for clean code practices, best practices, and gives actionable recommendations — without modifying your code or making API calls.
Features
- 9 analyzers: complexity, naming, structure, patterns, imports, documentation, security, duplication, AI-generated code detection
- Multi-language: JS/TS, Python, Go, Rust (deep analysis) + Java, C#, Ruby, PHP, and more (regex-based)
- Zero-cost: All analysis runs locally — no API keys, no external calls
- MCP server: Works with Claude Desktop, Claude Code, and VS Code via stdio transport
- CLI tool:
ready @filenameandAIterminal commands for standalone use - SARIF output: Export results for GitHub Code Scanning integration
- Watch mode: Continuous re-analysis on file changes
- Baseline/diff mode: Track incremental adoption — only see new issues
- Config file: Project-level
.readyorai.jsonfor shared settings - Inline suppressions: Silence specific findings with
// readyorai-ignorecomments
Installation
As an MCP Server
Claude Desktop (claude_desktop_config.json):
Claude Code:
VS Code (.vscode/mcp.json):
As a CLI Tool
CLI Usage
Exit Codes
Configuration
Create a .readyorai.json in your project root:
Inline Suppressions
Silence specific findings on a line:
MCP Tools
MCP Prompts
Checks
Language Support
Development
Support
If you find ReadyOrAI useful, consider supporting the project:
- Borko — 5 euro
License
MIT
Source: README.md at commit e7d0593
Tools
0Version history
1- v0.1.2LatestSep 16, 2026
Score
50% of the applicable checks met
How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.
- Reached in the last 30 days25 pts
Keep the endpoint answering the MCP handshake; SourceWeft probes it every 30 days.
- Auth declared10 pts
Declare the credential headers in the registry entry, or keep the endpoint answering the probe so its auth can be classified.
- Tools listed15 pts
Answer tools/list without a credential, or ship a package that starts in a sandbox without one.
- DescriptionRequired15 pts
- Logo10 pts
- Documentation15 pts
- License10 pts