# NetworkX MCP Server

> Use this tool when you need to perform advanced graph analysis and execute algorithms on complex networks using natural language inputs. It solves problems related to graph creation, manipulation, and analysis, providing outputs in a format suitable for further processing and visualization. The NetworkX MCP Server takes natural language queries as input and returns graph data and analysis results as output, ideal for use cases requiring intuitive and flexible graph modeling and analysis.

Canonical page: https://skillsregistry.net/skills/brightlikethelight-networkx-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/brightlikethelight-networkx-mcp-server

## Description

Comprehensive Model Context Protocol server for advanced graph analysis using NetworkX, enabling graph creation, manipulation, and algorithm execution through natural language.

## Trust

- **Trust score (0–1):** 0.52
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ku5sdbcpxo)
- **Repository:** <https://github.com/brightlikethelight/networkx-mcp-server>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "brightlikethelight-networkx-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/brightlikethelight-networkx-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/brightlikethelight-networkx-mcp-server/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt