pyATS MCP Server
The pyATS MCP Server facilitates secure, structured communication with Cisco network devices using pyATS and Genie. It supports executing show, ping, and configuration commands with parsed or raw output, all over STDIO, making it ideal for embedded or containerized environments. It enables integration with automation tools and provides controlled execution for network management tasks.
Added on:
Created by:
Apr 10 2025
The pyATS MCP Server facilitates secure, structured communication with Cisco network devices using pyATS and Genie. It supports executing show, ping, and configuration commands with parsed or raw output, all over STDIO, making it ideal for embedded or containerized environments. It enables integration with automation tools and provides controlled execution for network management tasks.
Added on:
Created by:
Apr 10 2025
John Capobianco
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What is pyATS MCP Server?
pyATS MCP Server is an experimental Python-based server that wraps Cisco pyATS and Genie functions for network automation. It communicates via JSON-RPC protocol over STDIO, avoiding HTTP or SSE, ensuring maximum security and portability. The server connects to devices specified in a pyATS testbed, allowing users to run show, ping, and configuration commands safely, with options for parsing results. It exposes tools such as run_show_command, run_ping_command, apply_configuration, learn_config, and learn_logging, making network management tasks automated, consistent, and controlled. Its Docker support simplifies deployment, and it is suitable for secure environments, embedded systems, or LangGraph integrations.
Who will use pyATS MCP Server?
- Network engineers
- Automation engineers
- Network administrators
- DevOps teams
- Network automation developers
How to use the pyATS MCP Server?
- Step1: Set environment variable PYATS_TESTBED_PATH to your testbed.yaml file location
- Step2: Run the server with 'python3 pyats_mcp_server.py' for continuous mode or use '--oneshot' for a single request
- Step3: Send JSON-RPC requests such as tool discovery or command execution via stdin
- Step4: Receive structured or raw responses via stdout
- Step5: For Docker, build image with 'docker build -t pyats-mcp-server .' and run with appropriate environment variables and volume mounts.
pyATS MCP Server's Core Features & Benefits
The Core Features
- run_show_command
- run_ping_command
- apply_configuration
- learn_config
- learn_logging
The Benefits
- Secure communication over STDIO
- Structured, validated command execution
- Easy integration with automation workflows
- Supports containerized deployment
- Prevents unsafe commands and input validation
pyATS MCP Server's Main Use Cases & Applications
- Network device management and automation
- Automated testing and validation of network configurations
- Secure scripting for network operations
- Integration with LangGraph and other automation frameworks
- Simplified deployment in container environments
FAQs of pyATS MCP Server
Developer
- automateyournetwork
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