mcix 1.0.9.dev0

CLI tool designed to manage MCI (Model Context Interface) schemas and dynamically run MCP servers using defined MCI toolsets

MCI CLI Tool

A command-line interface for managing Model Context Interface (MCI) schemas and dynamically running MCP (Model Context Protocol) servers using defined MCI toolsets.

Features

• Connect existing MCP servers with automatic caching and easy filtering options to make your unique set of tools
• Define your custom tools in JSON or YAML using clear, reviewable MCI schema
  • API:
    • Connect your n8n, Make and other workflow builders as tools
    • Convert any REST API Docs to AI tools in minute with LLM
    • Run remote code with AWS Lambda, judge0, etc.
    • Authentification, headers, body... Full set of API features are supported
  • CLI:
    • Run server based CLI commands as tool from simple "ls" to anything else you can install with apt-get!
    • Write separated python script and convert in tool in 30 seconds!
    • Build super fast GoLang binary and run as AI tool
  • File:
    • Manage your prompts, generate reports, and provide context with ease
    • Any file becomes a template: From printing simple variables ({{ props.message }}) to blocks like if, for & foreach
    • Everything you need to create real, dynamic and usable templates
  • Text:
    • Simplest way to return dynamic or static text from tool
    • Supports full templating as File type, but defined inside .mci.json
    • Ideal for serving dynamic assets (image URLs per user, PDFs, etc)
    • As well as for generating simple messages
• Make toolset from your custom tools: easiest way to orginize, manage and share your tools!
• Everything mantioned above you can use programatically via MCI-Adapter for your language
• Or.. Instantly serve them as a unified STDIO MCP server via uvx mcix run command.
• And... Create separate .mci.json files to serve them as different MCP servers for different agents! Reducing token and runtime overhead by providing small, specific context files tailored per agent.

Everything simple, super flexible and still, high performant!

Check out the documentation for general understanding of MCI (We are working hard to update docs with uvx mcix tool usage)

Quick Start

No installation needed! Run MCI directly using uvx:

# Install uv if you haven't already
curl -LsSf https://astral.sh/uv/install.sh | sh

Your First MCI Project

1. Initialize a new project:

   uvx mcix install
   

   This creates mci.json with example tools and mci/ directory with example toolsets.

2. List your tools:

   uvx mcix list
   

3. Validate your configuration:

   uvx mcix validate
   

4. Run an MCP server:

   uvx mcix run
   

That's it! Your MCI tools are now available via the MCP protocol.

Optional: Install MCI Globally

If you prefer to install MCI permanently:

# Install globally with uv
uv tool install mcix

# Then use without uvx prefix
mcix install
mcix list
mcix run

Or install from source:

git clone https://github.com/Model-Context-Interface/mci-uvx.git
cd mci-uvx
uv sync --all-extras
uv tool install --editable .

Core Concepts

MCI Tools

MCI tools are reusable, declarative tool definitions that can execute different types of operations:

• Text tools: Return templated text responses
• File tools: Read and return file contents
• CLI tools: Execute command-line programs
• HTTP tools: Make API requests
• MCP tools: Invoke other MCP servers

Toolsets

Toolsets are collections of related tools stored in the mci/ directory. They can be:

• Shared across projects
• Filtered by tags or names
• Referenced from your main configuration

MCP Server Integration

The mci run command creates an MCP server that:

• Dynamically loads tools from your MCI schema
• Serves them via the Model Context Protocol
• Can be used with MCP-compatible clients (like Claude Desktop)
• Supports filtering to expose only specific tools

Available Commands

mci install

Bootstrap a new MCI project with starter configuration.

# Create JSON configuration (default)
uvx mcix install

# Create YAML configuration
uvx mcix install --yaml

Creates:

• mci.json (or mci.yaml) - Main configuration file
• mci/ directory - Library of toolsets
• mci/.gitignore - Excludes generated files

mci list

Display all available tools from your configuration.

# List all tools (table format)
uvx mcix list

# List with verbose details
uvx mcix list --verbose

# Filter by tags
uvx mcix list --filter tags:api,database

# Export to JSON
uvx mcix list --format json

# Export to YAML
uvx mcix list --format yaml

Filter types:

• tags:tag1,tag2 - Include tools with any of these tags
• only:tool1,tool2 - Include only specific tools
• except:tool1,tool2 - Exclude specific tools
• toolsets:ts1,ts2 - Include tools from specific toolsets
• without-tags:tag1,tag2 - Exclude tools with these tags

mci validate

Validate your MCI schema for correctness.

# Validate default configuration
uvx mcix validate

# Validate specific file
uvx mcix validate --file custom.mci.json

Checks for:

• Schema structure and syntax
• Required fields
• Data types
• Tool definitions
• Toolset references
• MCP command availability (warnings)

mci add

Add toolset references to your schema.

# Add a toolset
uvx mcix add weather-tools

# Add with filter
uvx mcix add analytics --filter=only:Tool1,Tool2

# Add with tag filter
uvx mcix add api-tools --filter=tags:api,database

# Add to custom file
uvx mcix add weather-tools --path=custom.mci.json

Automatically preserves your file format (JSON stays JSON, YAML stays YAML).

mci run

Launch an MCP server that dynamically serves your tools.

# Run with default configuration
uvx mcix run

# Run with specific file
uvx mcix run --file custom.mci.json

# Run with filtered tools
uvx mcix run --filter tags:production

# Run excluding tools
uvx mcix run --filter except:deprecated_tool

The server:

• Loads tools from your MCI schema
• Converts them to MCP format
• Listens on STDIO for MCP requests
• Delegates execution back to MCIClient

Stop the server: Press Ctrl+C

Example Workflows

Development Workflow

# 1. Create a new project
uvx mcix install

# 2. Add toolsets
uvx mcix add weather-tools
uvx mcix add api-tools --filter=tags:production

# 3. Preview your tools
uvx mcix list --verbose

# 4. Validate everything
uvx mcix validate

# 5. Test with MCP server
uvx mcix run --filter tags:development

Production Deployment

# Validate before deployment
uvx mcix validate

# Run server with only production tools
uvx mcix run --filter tags:production

# Or exclude experimental features
uvx mcix run --filter without-tags:experimental,beta

Tool Development

# Create your schema
uvx mcix install

# Edit mci.json to add your tool
# (see examples in the generated file)

# Validate your changes
uvx mcix validate

# Test your tool
uvx mcix list --verbose
uvx mcix run

Supported Execution Types

MCI tools support multiple execution types. Below are examples for each type:

Text Execution

Returns templated text using {{props.field}} and {{env.VAR}} syntax.

Example:

{
  "name": "greet_user",
  "description": "Greet a user by name",
  "inputSchema": {
    "type": "object",
    "properties": {
      "username": {
        "type": "string",
        "description": "Name of the user to greet"
      }
    },
    "required": ["username"]
  },
  "execution": {
    "type": "text",
    "text": "Hello {{props.username}}! Welcome to MCI."
  }
}

This tool takes a username as input and returns a personalized greeting message.

File Execution

Reads and returns file contents, with optional templating support.

Example:

{
  "name": "read_config",
  "description": "Read application configuration file",
  "inputSchema": {
    "type": "object",
    "properties": {
      "config_path": {
        "type": "string",
        "description": "Path to configuration file"
      }
    },
    "required": ["config_path"]
  },
  "execution": {
    "type": "file",
    "path": "{{props.config_path}}",
    "enableTemplating": false
  },
  "directoryAllowList": ["./configs", "/etc/myapp"]
}

This tool reads a configuration file from an allowed directory. The directoryAllowList ensures files can only be read from safe locations.

CLI Execution

Executes command-line programs with arguments and flags.

Example:

{
  "name": "search_files",
  "description": "Search for text in files using grep",
  "inputSchema": {
    "type": "object",
    "properties": {
      "pattern": {
        "type": "string",
        "description": "Search pattern"
      },
      "directory": {
        "type": "string",
        "description": "Directory to search in"
      },
      "ignore_case": {
        "type": "boolean",
        "description": "Ignore case in search"
      }
    },
    "required": ["pattern", "directory"]
  },
  "execution": {
    "type": "cli",
    "command": "grep",
    "args": ["-r", "-n", "{{props.pattern}}"],
    "flags": {
      "-i": {
        "from": "props.ignore_case",
        "type": "boolean"
      }
    },
    "cwd": "{{props.directory}}",
    "timeout_ms": 8000
  }
}

This tool executes grep to search for text in files. The -i flag is conditionally added based on the ignore_case property.

HTTP Execution

Makes HTTP requests to external APIs with full header and authentication support.

Example:

{
  "name": "get_weather",
  "description": "Get current weather for a location",
  "inputSchema": {
    "type": "object",
    "properties": {
      "location": {
        "type": "string",
        "description": "City name or coordinates"
      }
    },
    "required": ["location"]
  },
  "execution": {
    "type": "http",
    "method": "GET",
    "url": "https://api.example.com/weather",
    "params": {
      "location": "{{props.location}}",
      "units": "metric"
    },
    "headers": {
      "Accept": "application/json",
      "Authorization": "Bearer {{env.WEATHER_API_KEY}}"
    },
    "timeout_ms": 5000
  }
}

This tool makes a GET request to a weather API, using an API key from the environment and the location from the input properties.

MCP Execution

Invokes tools from other MCP servers (for tool composition and chaining).

Example:

{
  "name": "analyze_with_ai",
  "description": "Analyze data using AI MCP server",
  "inputSchema": {
    "type": "object",
    "properties": {
      "data": {
        "type": "string",
        "description": "Data to analyze"
      }
    },
    "required": ["data"]
  },
  "execution": {
    "type": "mcp",
    "server": "ai_analysis_server",
    "tool": "analyze_text",
    "arguments": {
      "text": "{{props.data}}",
      "model": "gpt-4"
    }
  }
}

This tool delegates execution to another MCP server's tool, enabling composition of complex workflows.

Common Features

All execution types support:

• Environment variable templating: Use {{env.VAR}} to access environment variables
• Property templating: Use {{props.field}} to access input properties
• Input validation: Define schemas with JSON Schema for type safety

Configuration Files

Main Configuration (mci.json or mci.yaml)

{
  "schemaVersion": "1.0",
  "metadata": {
    "name": "My Project",
    "description": "My MCI configuration"
  },
  "tools": [
    {
      "name": "example_tool",
      "description": "Example tool",
      "inputSchema": {
        "type": "object",
        "properties": {
          "message": {"type": "string"}
        }
      },
      "execution": {
        "type": "text",
        "text": "Echo: {{props.message}}"
      }
    }
  ],
  "toolsets": ["my-toolset"],
  "mcp_servers": {}
}

Toolset Files (mci/*.mci.json)

Toolset files follow the same schema but typically contain focused collections of related tools.

Environment Variables

MCI supports environment variable templating in tool definitions:

{
  "execution": {
    "type": "http",
    "url": "{{env.BASE_URL}}/api/endpoint",
    "headers": {
      "Authorization": "Bearer {{env.API_KEY}}"
    }
  }
}

Setting Environment Variables for MCP Clients

When running MCI as an MCP server from clients like Claude Desktop or VS Code, configure environment variables in the client's settings:

Claude Desktop Example (claude_desktop_config.json):

{
  "mcpServers": {
    "mci-tools": {
      "command": "uvx",
      "args": ["mcix", "run"],
      "cwd": "/path/to/your/project",
      "env": {
        "API_KEY": "your-api-key",
        "BASE_URL": "https://api.example.com",
        "PROJECT_ROOT": "/path/to/your/project"
      }
    }
  }
}

VS Code Example (.vscode/settings.json):

{
  "mcp.servers": {
    "mci-tools": {
      "command": "uvx",
      "args": ["mcix", "run"],
      "cwd": "${workspaceFolder}",
      "env": {
        "API_KEY": "your-api-key",
        "BASE_URL": "https://api.example.com",
        "PROJECT_ROOT": "${workspaceFolder}"
      }
    }
  }
}

Running Standalone (without MCP client):

If you're running the MCP server directly in a terminal, set environment variables first:

export API_KEY=your-api-key
export BASE_URL=https://api.example.com
uvx mcix run

## Integration with MCP Clients

The `mci run` command creates an MCP-compliant server that can be used with:

- **Claude Desktop**: Configure as an MCP server in settings
- **MCP CLI tools**: Connect via STDIO transport
- **Custom integrations**: Use the MCP Python SDK

Example Claude Desktop configuration:

```json
{
  "mcpServers": {
    "mci-tools": {
      "command": "uvx",
      "args": ["mcix", "run"],
      "cwd": "/path/to/your/project"
    }
  }
}

Documentation

• Development Guide - Setup, testing, and contribution workflow
• Technical Architecture - Project structure and design decisions
• Implementation Plan - Full development roadmap
• Product Requirements - Project goals and specifications
• Installation Guide - Detailed installation instructions
• Publishing Guide - How to publish to PyPI

Key Features

✨ Declarative Tool Definitions - Define tools once, use everywhere

🔌 Multiple Execution Types - Text, file, CLI, HTTP, and MCP support

🎯 Flexible Filtering - Filter by tags, names, or toolsets

📦 Toolset Management - Organize and reuse tool collections

🔄 Dynamic MCP Servers - Instantly turn MCI schemas into MCP servers

🌍 Environment Templating - Use environment variables in tool definitions

✅ Built-in Validation - Comprehensive schema validation

📊 Multiple Output Formats - JSON, YAML, and table displays

Contributing

Contributions are welcome! Please see development.md for:

• Setting up your development environment
• Running tests and linters
• Building the project
• Submitting pull requests

License

MIT License - see LICENSE file for details

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This project was built from simple-modern-uv.