What is the key difference between PyATS MCP and Codegraphcontext?

PyATS MCP belongs to the Coding Agents category with local stdio execution, while Codegraphcontext belongs to the Coding Agents category with local stdio execution.

How do I install PyATS MCP or Codegraphcontext in Claude Desktop or Cursor?

Copy the mcpServers JSON configuration snippet provided on this page into your claude_desktop_config.json or ~/.cursor/mcp.json file and restart your AI client.

Are PyATS MCP and Codegraphcontext free or paid?

PyATS MCP operates under a Free / Open Source model (other). Codegraphcontext operates under a Free / Open Source model (No auth required).

Which MCP server has more tools and community activity?

PyATS MCP lists 26 tools with 4 views and 86 GitHub stars. Codegraphcontext lists 6 tools with 3 views and 4,199 GitHub stars.

Can I use both PyATS MCP and Codegraphcontext together in the same MCP host?

Yes! MCP hosts like Claude Desktop, Cursor, Windsurf, Cline, and VS Code support configuring multiple servers under the mcpServers object simultaneously.

Side-by-Side Model Context Protocol Comparison

PyATS MCP vs Codegraphcontext

In-depth architectural comparison of the PyATS MCP and Codegraphcontext MCP servers. Compare execution transports, security boundaries, tool capabilities, quality scores, and ready-to-paste client installation snippets for Claude, Cursor, Windsurf, and VS Code.

At a Glance & Executive Verdict

PyATS MCP

Coding Agents · Local stdio

Quality: 60/100 (Good) | Auth: other

Codegraphcontext

Coding Agents · Local stdio

Quality: 57/100 (Good) | Auth: No auth required

Verdict Summary: Choose PyATS MCP if you need specialized Coding Agents tools running via a local process. Choose Codegraphcontext if your workspace requires Coding Agents integration with local subprocess execution. Both servers can be configured concurrently in your client's mcpServers manifest.

Which MCP Server Should You Choose?

Choose PyATS MCP when:

You need dedicated capabilities in the Coding Agents domain.
You prefer local stdio subprocess transport architecture.
Your security boundary fits: other (Free / Open Source).
You have access to required keys: PYATS_TESTBED_PATH, PYATS_MCP_ARTIFACTS_DIR, PYATS_MCP_KEEP_ARTIFACTS, PYATS_MCP_TESTBED_CACHE_TTL, PYATS_MCP_CONN_CACHE_TTL, PYATS_MCP_OP_LOG_MAX, PYATS_MCP_TRANSPORT_MODE, PYATS_MCP_HTTP_HOST.
Primary tools included: pyats_list_devices, pyats_search_devices, pyats_run_show_command.

Explore PyATS MCP Details

Choose Codegraphcontext when:

You need dedicated capabilities in the Coding Agents domain.
You prefer local stdio subprocess transport architecture.
Your security boundary fits: No auth required (Free / Open Source).

Feature & Specification Comparison

Specification	PyATS MCP automateyournetwork Coding Agents	Codegraphcontext shashankss1205 Coding Agents
Summary	Cisco pyATS server enabling structured, model-driven interaction with network devices.	An MCP server that indexes local code into a graph database to provide context to AI assistants with a graphical code visualizations for humans.
Category & Scope	Coding Agents

Tools & Capabilities Breakdown

PyATS MCP Tools (26)

pyats_list_devices

List all devices in the testbed

pyats_search_devices

Fuzzy-search devices by name or alias

pyats_run_show_command

Run a validated show command; returns parsed JSON or raw output

pyats_run_show_command_multi

Run a show command across multiple devices concurrently (thread pool)

pyats_pcall_show_command

Same, but one OS process per device (`pyats.async_.pcall`) instead of a shared thread pool

pyats_show_running_config

Retrieve the full running configuration (raw text)

Ready-to-Paste Client Configurations

Paste either (or both) of these JSON server blocks into your client config file (e.g. claude_desktop_config.json or ~/.cursor/mcp.json).

PyATS MCP Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "automateyournetwork-pyats-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-remote",
        "http://localhost:8080/mcp",
        "--transport",
        "http-only"
      ],
      "env": {
        "PYATS_TESTBED_PATH": "YOUR_PYATS_TESTBED_PATH_HERE",
        "PYATS_MCP_ARTIFACTS_DIR": "YOUR_PYATS_MCP_ARTIFACTS_DIR_HERE",
        "PYATS_MCP_KEEP_ARTIFACTS": "YOUR_PYATS_MCP_KEEP_ARTIFACTS_HERE",
        "PYATS_MCP_TESTBED_CACHE_TTL": "YOUR_PYATS_MCP_TESTBED_CACHE_TTL_HERE",
        "PYATS_MCP_CONN_CACHE_TTL": "YOUR_PYATS_MCP_CONN_CACHE_TTL_HERE",
        "PYATS_MCP_OP_LOG_MAX": "YOUR_PYATS_MCP_OP_LOG_MAX_HERE",
        "PYATS_MCP_TRANSPORT_MODE": "YOUR_PYATS_MCP_TRANSPORT_MODE_HERE",
        "PYATS_MCP_HTTP_HOST": "YOUR_PYATS_MCP_HTTP_HOST_HERE"
      }
    }
  }
}

Codegraphcontext Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "shashankss1205-codegraphcontext": {
      "command": "uvx",
      "args": [
        "kuzu"
      ]
    }
  }
}

Frequently Asked Questions

PyATS MCP is categorized under Coding Agents and uses a local stdio subprocess. In contrast, Codegraphcontext belongs to Coding Agents using local stdio subprocess. Select PyATS MCP when you need capabilities focused on coding agents and Codegraphcontext when you require tools for coding agents.

More alternatives to PyATS MCP More alternatives to Codegraphcontext Coding Agents category hub