Data science and visualization · MCP server
Chartlink: MCP server, setup and security
Chartlink is an open-source MCP server published on GitHub that lets an AI agent create and publish embedded visualizations then update their underlying data. Its repository has 0 stars and its last commit is from October 8, 2026 and it is licensed under MIT.
| Adoption (stars) | 0/40 | |
|---|---|---|
| Maintenance | 30/30 | |
| Framework (licence, registry, official) | 30/30 |
What Chartlink does
According to its repository: “Charts, maps and sortable tables with live-updating embed links: draft, preview and publish, then update the data and every embed follows.”
The Model Context Protocol (MCP) is a standard plug between an AI agent and an outside service: once the server is connected, its tools show up in the agent, which decides when to call them. Chartlink is listed under Data science and visualization, a category of 48 servers in the directory, where it ranks #48 by stars.
Installing and connecting Chartlink
Distribution modes declared in the official MCP registry:
- npm package (Node.js, usually started with
npx) - remote server (streamable-http): you connect to it by URL, with nothing to install locally
It works with any MCP-compatible client (Claude Desktop, Claude Code, Cursor, VS Code, Codex and most recent agents). You add one entry to the client's MCP configuration: server name, start command or URL, environment variables. Project language: TypeScript. Listed systems: macOS, Windows, Linux.
The registry lists one secret variable to provide (API key, access token). Keep them in the client's environment variables, never in a shared file or a repository.
Security: what to check
Connecting an MCP server means installing software that talks straight to your agent: it runs with your rights and the model trusts its tool descriptions. The risk therefore depends on what it can touch and how far its code can be trusted.
Points found for Chartlink:
- Secrets: the server acts with your credentials. Create a dedicated key with minimum rights and an expiry date.
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 September 15, 2026, the oscarleoo/chartlink-agents repository has 0 stars and 0 forks, with 0 open issues. It has more stars than 4% of the servers in the directory. It received changes this month. Version published in the registry: 0.1.2 (September 16, 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
Chartlink is a reasonable choice; check the points below before connecting it.
Strengths
- Maintained by the service's own vendor
- Active project: recent commit
- Listed in the official MCP registry
- Usable remotely, without installation
- Permissive licence (MIT)
Limitations
- Requires an API key or token
- Few visible users
Avoid if…
- You do not want to give credentials to an agent
Alternatives
- Vizro MCP3.8K ★
- Agent Native Analytics7.5K ★
- Semiotic2.7K ★
- Google Ads + Meta Ads + SEO/GEO MCP5.9K ★
- Ask Jev5.2K ★
- ShipSwift3.2K ★
Learn more
Frequently asked questions
How do I install Chartlink?
Chartlink is distributed as npm package (Node.js, usually started with npx) and a remote server. Add it to your client's MCP configuration (Claude Desktop, Cursor, VS Code…) following the README of oscarleoo/chartlink-agents.
Is Chartlink free?
The code is published under the MIT licence and can be used free of charge. It needs an API key: the service it connects to may be paid.
Is Chartlink safe?
Points to watch: secrets. Give it minimum rights and approve sensitive actions.
Is it an official server?
Yes: the awesome-mcp-servers list marks it as the service vendor's official implementation.
What are the alternatives to Chartlink?
In the same category: Vizro MCP, Agent Native Analytics, Semiotic, and Google Ads + Meta Ads + SEO/GEO MCP. Vizro MCP and Agent Native Analytics score higher on our grid.
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