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pyATS_MCPAn MCP Server for pyATS (experimental)

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Daniel NikulshynReviewed by Daniel Nikulshyn·Updated July 2026

Overview

The pyATS_MCP is an experimental MCP Server for pyATS (Python Automated Testing of Transports) that wraps Cisco pyATS and Genie, letting AI agents run show commands, apply configuration, and query network state over STDIO using JSON-RPC 2.0. All communication is via STDIN/STDOUT, with no HTTP ports or REST endpoints. The server reads device details and credentials from a .env file, using environmental variable placeholders in the testbed.yaml file for dynamic substitutions at runtime. It supports various network operating systems and credentials, with optional features for connection caching and operation logging. The pyATS_MCP is deployable via Docker or as a local Python application.

Key features

  • JSON-RPC 2.0 protocol support
  • pyATS and Genie integration
  • STDIN/STDOUT communication
  • Device configuration and credential management through .env file
  • Support for various device types and operating systems

Pricing

Model
Free
Category
MCP Servers
Rating
No reviews yet

Use cases

Network Automation

pyATS_MCP can be used to automate network management tasks, such as running show commands, applying configuration changes, and querying network state, making it a valuable tool for network administrators and automation engineers.

AI-Powered Network Management

The server's ability to interact with AI agents using JSON-RPC 2.0 protocol enables the development of AI-powered network management tools, allowing for more intelligent and autonomous network management.

Pros & Cons

Pros

  • Enables AI agents to interact with network devices using standardized JSON-RPC 2.0 protocol
  • Supports running show commands, applying configuration, and querying network state
  • No HTTP ports or REST endpoints required, reducing potential security risks
  • Device details and credentials are stored in a separate .env file for added security

Cons

  • Currently marked as experimental, indicating potential instability or limited testing
  • Requires manual configuration of device details and credentials in a .env file
  • Limited to interacting with devices through STDIN/STDOUT, which may limit scalability

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Q&A

What are the limitations of pyATS_MCP?

It is currently experimental, requires manual configuration, and is limited to STDIN/STDOUT communication, which may impact scalability.

Asked by Paloma Ruiz · Oct 4, 2025

How does pyATS_MCP manage device credentials?

Device credentials are stored in a .env file and read by the server, allowing for dynamic substitutions at runtime.

Asked by Fiorella Bianchi · Jul 9, 2025

What are the deployment options for pyATS_MCP?

pyATS_MCP can be deployed via Docker or as a local Python application.

Asked by Wei Chen · Jul 11, 2025

What protocol does pyATS_MCP use?

pyATS_MCP uses JSON-RPC 2.0 protocol for communication.

Asked by Adaeze Uche · Jun 16, 2025

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