Orcho MCP Server

Orcho MCP Server

Provides real-time security risk assessment for AI coding prompts, analyzing potential dangers, blast radius, and complexity before code execution in Cursor.

Category
Visit Server

README

Orcho MCP Server for Cursor

Risk assessment for AI coding prompts - Automatically analyze your coding requests for security and safety risks before execution.

šŸš€ Quick Install

Click this link to automatically install in Cursor:

cursor://anysphere.cursor-deeplink/mcp/install?name=orcho&config=eyJuYW1lIjoib3JjaG8iLCJ0eXBlIjoic3RkaW8iLCJjb21tYW5kIjoibnB4IiwiYXJncyI6WyIteSIsIkBvcmNob19yaXNrL21jcC1zZXJ2ZXIiXSwiZW52Ijp7Ik9SQ0hPX0FQSV9LRVkiOiJ0ZXN0X2tleV9vcmNob18xMjM0NSJ9fQ==

How to use:

  1. Copy the link above
  2. Paste it into your browser's address bar and press Enter
  3. Cursor will open and automatically configure the MCP server
  4. Replace the test API key with your real key (see API Configuration)
  5. Restart Cursor to activate
  6. Replace the test API key with your real key (see API Configuration)
  7. Restart Cursor to activate the MCP server

What is Orcho??

Orcho analyzes your coding prompts in real-time to identify potential security risks, dangerous operations, and safety concerns before code is generated or executed.

Features

  • šŸ” Real-time Risk Assessment - Analyze prompts using Orcho's risk analysis API
  • šŸ“ Context-Aware - Automatically includes file context for accurate blast radius and complexity analysis
  • šŸ›”ļø Security First - Identifies high-risk prompts before execution
  • šŸ”Œ Seamless Integration - Works natively with Cursor's Model Context Protocol

Installation

Option 1: One-Click Install (Recommended)

Copy and paste this link into your browser:

cursor://anysphere.cursor-deeplink/mcp/install?name=orcho&config=eyJuYW1lIjoib3JjaG8iLCJ0eXBlIjoic3RkaW8iLCJjb21tYW5kIjoibnB4IiwiYXJncyI6WyIteSIsIkBvcmNob19yaXNrL21jcC1zZXJ2ZXIiXSwiZW52Ijp7Ik9SQ0hPX0FQSV9LRVkiOiJ0ZXN0X2tleV9vcmNob18xMjM0NSJ9fQ==

This automatically:

  • āœ… Configures the MCP server in Cursor
  • āœ… Sets up auto-installation via npx
  • āš ļø Next step: Replace the test API key with your real key (see below)
  • āš ļø Then: Restart Cursor

Option 2: Manual Installation

  1. Install the package:

    npm install -g @orcho_risk/mcp-server
    
  2. Configure Cursor:

    Create or edit ~/.cursor/mcp.json (Windows: C:\Users\<YourUsername>\.cursor\mcp.json):

    {
      "mcpServers": {
        "orcho": {
          "command": "npx",
          "args": ["-y", "@orcho_risk/mcp-server"],
          "env": {
            "ORCHO_API_KEY": "your-api-key-here"
          }
        }
      }
    }
    
  3. Restart Cursor completely (quit and reopen)


API Configuration

Get Your API Key

  1. Sign up at app.orcho.ai
  2. Navigate to API Settings (Dashboard → API Keys)
  3. Create or copy your API key
  4. Update your mcp.json file:
    • Location: ~/.cursor/mcp.json (or C:\Users\<YourUsername>\.cursor\mcp.json on Windows)
    • Replace test_key_orcho_12345 with your actual API key

Test API Key

For initial testing, you can use:

test_key_orcho_12345

Note: The test key has limited functionality and rate limits. Get your own API key from app.orcho.ai for production use.

Security Best Practices

  • āœ… Store API keys only in ~/.cursor/mcp.json (not in your project)
  • āœ… Never commit API keys to version control
  • āœ… Rotate keys immediately if accidentally exposed

Usage

Manual Assessment

In Cursor chat, type:

@orcho assess_risk: Your prompt here

Automatic Assessment (Recommended)

Enable automatic risk assessment for all prompts by adding a Cursor rule to your project.

Option 1: Project Rules (Modern - Recommended)

Copy the rule file to your project:

# Create .cursor/rules directory
mkdir -p .cursor/rules

# Copy the rule file
cp node_modules/@orcho_risk/mcp-server/.cursor/rules/orcho-risk-assessment.mdc .cursor/rules/

Or manually copy from:

node_modules/@orcho_risk/mcp-server/.cursor/rules/orcho-risk-assessment.mdc

Option 2: Legacy .cursorrules File

Copy the example rules file:

cp node_modules/@orcho_risk/mcp-server/.cursorrules.example .cursorrules

Note: Project Rules (Option 1) are the modern approach and support more features.


How It Works

Context-Aware Assessment

Orcho automatically gathers context when available:

  • Current File: Detects the file open in your editor
  • Other Files: Analyzes which files will be modified by the prompt
  • Dependency Graph: Optional project dependency information
  • Blast Radius: Calculates impact scope of changes

Example

User: "Delete all user data from the database"
→ Cursor calls: @orcho assess_risk with context
→ Risk: HIGH (score: 95)
→ Cursor warns: "āš ļø HIGH RISK: This could cause data loss. Proceed?"

Tool Parameters

  • task (required): The prompt to assess
  • current_file (recommended): Path to currently open file
  • other_files (recommended): Array of files that will be modified
  • dependency_graph (optional): Project dependency graph
  • weights (optional): Custom risk calculation weights
  • aiignore_file (optional): Path to .aiignore file

Troubleshooting

MCP Server Not Loading

  1. Check mcp.json location:

    • Mac/Linux: ~/.cursor/mcp.json
    • Windows: C:\Users\<YourUsername>\.cursor\mcp.json
  2. Verify Node.js is installed:

    node --version  # Requires v18+
    
  3. Check Cursor Developer Tools:

    • Help → Toggle Developer Tools
    • Look for MCP-related errors in Console

API Errors

  • Invalid API Key: Verify the key is correct in mcp.json
  • Rate Limits: Check your account quota at app.orcho.ai
  • No API Key: The server will use the test key by default (limited functionality)

Still Having Issues?

  • Check that Cursor is fully restarted (quit and reopen)
  • Verify your API key is valid at app.orcho.ai
  • Ensure you have internet connectivity

License

MIT

Support

For issues and questions:

  • GitHub Issues: [Your Repo URL]
  • Orcho Support: [Support URL]

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
E2B

E2B

Using MCP to run code via e2b.

Official
Featured