AIReady MCP Server

The AIReady MCP Server provides an integration point for AI agents (like Claude Desktop, Cursor, Windsurf, etc.) to assess AI-readiness and improve AI leverage directly within their conversational interfaces using the Model Context Protocol (MCP).

🛠 Capabilities

The AIReady MCP server exposes the following capabilities:

1. Analysis Tools

• Scan Tools: Run localized scans for pattern-detect, context-analyzer, consistency, ai-signal-clarity, agent-grounding, testability, doc-drift, deps-health, change-amp, and contract-enforce.

• get_remediation_diff: Get a precise code diff to fix identified AI-readiness issues.

2. Resources (Contextual Data)

• aiready://project/summary: A high-level overview of the project's AI-readiness score and issue count.

• aiready://project/issues: A JSON list of the top 10 most critical issues found in the latest scan.

• aiready://project/graph: Raw dependency and fragmentation graph data for visualization.

3. Prompts (Templates)

• analyze-project: A guided prompt to perform a full AI-readiness audit.

• remediate-issue: A template for fixing a specific issue using its ID.

Related MCP server: CodeMore MCP Server

🧱 Extension: AST Explorer Sibling

For deep code exploration, we also provide the @aiready/ast-mcp-server, which provides:

• Symbol resolution (resolve_definition)

• Reference finding (find_references)

• Call hierarchy (get_call_hierarchy)

• Implementation lookup (find_implementations)

Configure it alongside AIReady:

"mcpServers": {
  "aiready": {
    "command": "npx",
    "args": ["-y", "@aiready/mcp-server"]
  },
  "ast-explorer": {
    "command": "npx",
    "args": ["-y", "@aiready/ast-mcp-server"]
  }
}

Installation & Distribution Channels

1. Dedicated MCP Registries

• Smithery: npx @smithery/cli install @aiready/mcp-server

• Glama: View listing.

• Pulsar: Find on registry.

2. Direct IDE Integrations

Claude Desktop App / Cursor / Windsurf

Use the following command configuration:

npx -y @aiready/mcp-server

Quick Start

To test the server locally, you can run:

npx @aiready/mcp-server

For more details on AIReady, visit getaiready.dev.