Markdown Link Extractor Skill

What this skill does

Let your agent pull every link out of markdown. Call it as an MCP tool to extract and categorize inline, reference and image URLs. You switch it on with a single toggle — no SDK and no endpoint wiring — and it answers over MCP or REST using the same key as every other skill.

See it work

A real response from the Markdown Link Extractor Skill — exactly what your agent gets back when it makes the call.

vervekit · markdownlinkextractortool call

{
  "markdown": "# Sample Document\n\nCheck out [this link](https://example.com) and [another one](https://test.com).\n\n![Image](https://example.com/image.png)\n\nVisit <https://autolink.com> or just https://bare-url.com\n\n[Reference link][ref1]\n\n[ref1]: https://reference.com"
}

result

totalLinks: 6
links: [ 6 items ]
categories: { … }
markdownLength: 253

Run it with your own input. Live calls happen in your dashboard, on your key.

Ways to use it

Text tooling without the ML stack

Enable Markdown Link Extractor and your app can extract markdown link — translate, analyze, clean — without hosting a model or wiring a language API.

A tool your agent invokes

Over MCP, markdownlinkextractor is the tool your model calls to process text mid-task, on the same connection as every other skill.

Batch it from your backend

Call Markdown Link Extractor over REST to extract markdown link across a whole queue of text in your own server-side job.

Use it in your app

Once enabled, this skill is reachable two ways — pick whichever fits how you build. Both use the same key.

For AI agentsMCP

It appears to your model as a callable tool. No extra code — the agent invokes it when a task needs it.

markdownlinkextractor

For apps & backendsREST

Call it from your server with one request and your key. Node, Python, Go — anything that can send a GET.

GET /v1/markdownlinkextractor

Ask your agent

“Enable Markdown Link Extractor and ask your agent to extract markdown link.”
“Clean this text up and tell me what's in it.”

Markdown Link Extractor Skill, answered

How to connect it over MCP or REST.

How do I add Markdown Link Extractor to my app or agent?

Enable the Markdown Link Extractor Skill on VerveKit, then reach it two ways with the same key: over MCP (it appears to your agent as the markdownlinkextractor tool) or over REST (call it from any backend). No SDK to install and no endpoint to wire.

MCP or REST — which should I use?

Both work off one key. Use MCP when an AI agent should decide when to extract markdown link — the skill shows up as a callable tool. Use REST when your own server-side code should call it directly. Many apps use both.

Which agents and frameworks does it work with?

Any MCP client — Claude, Cursor, LangChain, and custom agents all speak the Model Context Protocol, so Markdown Link Extractor appears as a standard tool with nothing skill-specific to integrate.

How many credits does a Markdown Link Extractor call cost?

Each call costs 1 credit. Every skill rides the same key and the same connection, so enabling more skills doesn't add more integrations to manage.

Do I need to install anything?

No SDK and no endpoint wiring — enabling the skill is a toggle. You point your agent at the VerveKit MCP endpoint (or call REST) and Markdown Link Extractor is available immediately.

Where does the data come from, and what shows on my bill?

VerveKit runs on APIVerve, our production data engine; Markdown Link Extractor is one of 300+ skills on the same key. Invoices and card statements show APIVERVE.

Text tooling without the ML stack

A tool your agent invokes

Batch it from your backend

Markdown Link Extractor Skill, answered

Give your software a way to act on the world.

Scaling in production?