# flint-chart-connector

> flint-chart-connector — jmilinovich-flint-chart-connector. Use this tool when you need to render and compile charts from natural language descriptions, enabling seamless data visualization across various chat hosts like Claude and Codex. It solves the problem of manual chart creation by allowing users to generate charts using simple text inputs. The flint-chart-connector takes natural language descriptions as input and outputs compiled charts, making it ideal for use cases where data visualization needs to be automated and efficient.

Canonical page: https://skillsregistry.net/skills/jmilinovich-flint-chart-connector  
JSON: https://api.skillsregistry.net/v1/skills/jmilinovich-flint-chart-connector

## Description

A deployable remote MCP server that packages Microsoft's Flint chart compiler for chat hosts, enabling users to render, compile, and explore charts from natural language descriptions across Claude and Codex.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/mwd7etzhl5)
- **Repository:** <https://github.com/jmilinovich/flint-chart-connector>

## 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": "jmilinovich-flint-chart-connector"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jmilinovich-flint-chart-connector` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jmilinovich-flint-chart-connector/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