Design, art and accessibility · MCP server
Network Sketcher (Local MCP): MCP server, setup and security
Network Sketcher (Local MCP) is an open-source MCP server that lets an AI agent design networks and generate topology diagrams, device tables and HTML viewers. Its repository has 413 stars and its last commit is from October 5, 2026 and it is licensed under Apache-2.0.
| Adoption (stars) | 26/40 | |
|---|---|---|
| Maintenance | 30/30 | |
| Framework (licence, registry, official) | 20/30 |
What Network Sketcher (Local MCP) does
According to its repository: “Local-first network design: create Cisco-style network master files, L1/L2/L3 topology diagrams, HTML viewers, device tables and AI context files.”
An MCP server gives an AI agent extra tools it calls during the conversation: the agent reads their description, decides to use them and gets the result back. Network Sketcher (Local MCP) is listed under Design, art and accessibility, a category of 95 servers in the directory, where it ranks #15 by stars.
Topics declared by the repository: ai-agent, cisco, claude-code, cursor, network-automation, network-diagram.
Installing and connecting Network Sketcher (Local MCP)
No package or remote server is declared in the official MCP registry: you install it from source, following the repository README.
Like any MCP server, you declare it in your client's configuration (Claude Desktop, Claude Code, Cursor, VS Code, Codex…): a name, the command that starts it or its URL, and any environment variables. The client then starts it and lists its tools. Project language: Python. Listed systems: macOS, Windows, Linux.
Security: what to check
An MCP server runs code with the rights you give it, and the model reads its tool descriptions: a malicious or compromised server can hijack the agent. Read the code, or pick a maintained and widely used server, before connecting it.
None of the risk signals we track (system access, secrets, missing licence, abandonment) applies to Network Sketcher (Local MCP). That does not replace reading the code.
Good practice: grant only the rights needed (least privilege), require human approval for irreversible actions, and run the AI agent security check.
Project activity and maintenance
Created on August 8, 2023, the cisco-open/network-sketcher repository has 413 stars and 24 forks, with 0 open issues. It has more stars than 86% of the servers in the directory. It received changes this month. Version published in the registry: 3.1.2 (May 20, 2026).
Stars measure attention, not quality: a recent, heavily promoted project can collect them fast, while a useful but niche server will have few.
Verdict
Network Sketcher (Local MCP) is one of the most solid servers in its category: followed, maintained and well framed.
Strengths
- Active project: recent commit
- Widely followed: 413 stars
- Listed in the official MCP registry
- Permissive licence (Apache-2.0)
Limitations
- Install from source
Alternatives
- Pascal 3D Editor25.1K ★
- Next AI Draw.io36.4K ★
- Measure1.4K ★
- TerraVision1.7K ★
- Davinci resolve MCP3.7K ★
- MeiGen AI Design MCP1.8K ★
Learn more
Frequently asked questions
How do I install Network Sketcher (Local MCP)?
No package is declared in the MCP registry: clone the cisco-open/network-sketcher repository, follow its README, then declare the start command in your client's MCP configuration.
Is Network Sketcher (Local MCP) free?
The code is published under the Apache-2.0 licence and can be used free of charge.
Is Network Sketcher (Local MCP) safe?
No risk signal found (system access, secrets, licence, abandonment). As with any MCP server, keep rights minimal and read the code before sensitive use.
Is it an official server?
Nothing says so: it is a project published by cisco-open on GitHub. Check who maintains it before giving it access.
What are the alternatives to Network Sketcher (Local MCP)?
In the same category: Pascal 3D Editor, Next AI Draw.io, Measure, and TerraVision. Pascal 3D Editor and Next AI Draw.io score higher on our grid.
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Neutrality. No affiliate links. No vendor pays to be reviewed, rated or ranked. Reviews are directed by François Chollet, neutral and factual, and every data point is dated and sourced. How we score