Cisco NSO MCP Server

A Model Context Protocol (MCP) server implementation for Cisco NSO (Network Services Orchestrator) that exposes NSO data and operations as MCP primitives (Tools, Resources, etc.) that can be consumed by an MCP-compatible client, enabling AI-powered network automation through natural language interactions.

Sample Custom Client

What is MCP?

Model Context Protocol (MCP) is an open protocol that standardizes how AI models interact with external tools and services. MCP enables:

• Tool Definition: Structured way to define tools that AI models can use
• Tool Discovery: Mechanism for models to discover available tools
• Tool Execution: Standardized method for models to call tools and receive results
• Context Management: Efficient passing of context between tools and models
• Framework Agnostic: Works across multiple AI frameworks including OpenAI, Anthropic, Google Gemini, and others
• Interoperability: Provides a common language for AI systems to communicate with external tools

Features

• Stdio Transport: By default, this MCP server uses stdio transport for process-bound communication
• Tool-First Design: Network operations are defined as discrete tools with clear interfaces
• Asynchronous Processing: All network operations are implemented asynchronously for better performance
• Structured Responses: Consistent response format with status, data, and metadata sections
• Environment Resources: Provides contextual information about the NSO environment
• NSO Integration: Uses cisco-nso-restconf library for a clean, Pythonic interface to NSO's RESTCONF API
• Flexible Logging: Configurable logging to stdout and/or file via environment variables. When the LOG_FILE environment variable is set, logs are sent to both stdout and the specified file. If the log file cannot be created or written to, the server falls back to stdout-only logging with an error message
• Multiple Client Support: Works with any MCP-compatible client including Windsurf Cascade and custom Python applications

Available Tools and Resources

Tools

Resources

• https://resources.cisco-nso-mcp.io/environment: Provides a curated summary of the NSO environment:
  • Device count, Operating System Distribution, Unique Operating System Count, Unique Model Count, Model Distribution, Device Series Distribution, Device Groups and Members

Connecting to the Server with MCP Clients

You can connect to the server using any MCP client that supports the selected transport type. A few options are:

Windsurf Cascade

Windsurf Cascade supports MCP servers through a configuration file. To use the Cisco NSO MCP server with Windsurf, add it to your mcp_config.json file.

Using uv (recommended)

When using uv, no specific installation is needed. You can use uvx to directly run the package:

{
  "mcpServers": {
    "nso": {
      "command": "uvx",
      "args": [
        "cisco-nso-mcp-server",
        "--nso-address=127.0.0.1",
        "--nso-port=8080",
        "--nso-username=admin",
        "--nso-password=admin"
      ],
      "env": {
        "LOG_FILE": "/path/to/your/logs/nso-mcp.log"
      }
    }
  }
}

Using with pip installation

Alternatively, you can install cisco-nso-mcp-server via pip:

pip install cisco-nso-mcp-server

Now you can use the direct path to the executable:

{
  "mcpServers": {
    "nso": {
      "command": "/path/to/your/env/bin/cisco-nso-mcp-server",
      "args": [
        "--nso-address=127.0.0.1",
        "--nso-port=8080",
        "--nso-username=admin",
        "--nso-password=admin"
      ],
      "env": {
        "LOG_FILE": "/path/to/your/logs/nso-mcp.log"
      }
    }
  }
}

Replace /path/to/your/env/bin/cisco-nso-mcp-server with the actual path where you installed the package with pip. You can find this by running which cisco-nso-mcp-server if you installed it in your main environment, or by locating it in your virtual environment's bin directory.

In either case, the env section is optional. If you include it, you can specify the LOG_FILE environment variable to enable file logging.

Using in a custom MCP client Python application with stdio transport

A sample Python application is provided in sample_stdio_client.py that demonstrates how to connect to the MCP server locally and execute a tool.

Requirements

• Python 3.12+
• Cisco NSO with RESTCONF API enabled
• Network connectivity to NSO RESTCONF API

Configuration Options

You can configure the server using command-line arguments or environment variables:

NSO Connection Parameters

MCP Server Parameters

HTTP Transport Options (only used when --transport=http)

FastMCP HTTP Server reference: https://gofastmcp.com/deployment/http#http-deployment

Logging Configuration

Environment variables take precedence over default values but are overridden by command-line arguments.

Running the Server as Standalone

While the server is typically used with an MCP client, you can also run it directly as a standalone process:

# Run with default NSO connection and MCP settings (see Configuration Options above for details)
cisco-nso-mcp-server

# Run with custom NSO connection parameters
cisco-nso-mcp-server --nso-scheme=http --nso-address=127.0.0.1 --nso-port=8080 --nso-username=admin --nso-password=admin

When running as a standalone process with stdio transport, you'll need to pipe input/output to the process or use it with an MCP client that supports stdio transport.

License

This project is licensed under the MIT License. This means you can use, modify, and distribute the code, subject to the terms and conditions of the MIT License.