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wtf is mcp-radar?

liqiwa/mcp-radar — explained in plain English

Analysis updated 2026-05-18

1HTMLAudience · developerComplexity · 2/5LicenseSetup · easy

TL;DR

A daily automated tracker that scans GitHub for new MCP servers and ranks them by growth, publishing the results as a live directory site.

Mindmap

mindmap
  root((MCP Radar))
    What it does
      Scans GitHub daily
      Ranks by momentum
      Publishes directory site
    Tech stack
      Python
      GitHub Actions
      GitHub Search API
    Use cases
      Discover new MCP servers
      Read weekly digest
      Fork for own tracker
    Audience
      Developers
      MCP builders

Code map

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Why would anyone build with this?

REASON 1

Browse a daily updated directory of newly created MCP servers.

REASON 2

Read a weekly digest of the top twenty trending MCP servers.

REASON 3

Fork the project to run your own automated MCP tracking site.

REASON 4

Pull the JSON data feed into another website or newsletter.

What's in the stack?

PythonGitHub ActionsHTML

How it stacks up

liqiwa/mcp-radarabhas9/escape-runabhishek-kumar09/mern-live-js-june-2021
Stars111
LanguageHTMLHTMLHTML
Last pushed2021-09-13
MaintenanceDormant
Setup difficultyeasyeasymoderate
Complexity2/52/52/5
Audiencedevelopergeneraldeveloper

Figures from each repo's GitHub metadata at analysis time.

How do you spin it up?

Difficulty · easy Time to first run · 5min

Runs with just the Python standard library, a GitHub token is optional but raises the API rate limit.

Use freely for any purpose, including commercial use, as long as you keep the copyright notice.

Wtf does this do

MCP Radar is a directory website that automatically tracks new and trending MCP servers. MCP stands for Model Context Protocol, a standard that lets AI assistants connect to external tools and data sources. This project scans GitHub every day looking for newly created repositories that implement MCP servers, then ranks them by momentum, meaning how quickly they are gaining stars and forks relative to how new they are. The whole thing runs without any servers to maintain and without any ongoing cost. A scheduled GitHub Actions workflow runs once a day, queries the GitHub Search API for repositories tagged with MCP related topics, filters out forks, archived repos, and anything with too few stars, then calculates a momentum score for what remains. The results are saved as a JSON data file and a readable markdown digest listing the top twenty new servers of the week, and both files are committed back into the repository automatically so the git history becomes an archive of every past snapshot. The output also powers a live website at mcp.liqiwa.com, which includes a full directory, a weekly archive, and an RSS feed, all rebuilt automatically whenever the data updates. Someone wanting to see what MCP servers are gaining traction can simply visit the site rather than running anything themselves. If you want to run the scanner yourself, it only needs the Python standard library, no extra installations required. It works without a GitHub token, though requests will be rate limited, or you can set a token for higher limits. Anyone forking the project who wants the automated daily workflow to keep working will need to turn on write permissions for GitHub Actions in the repository settings. The project is released under the MIT license, a permissive license that allows free use, modification, and distribution as long as the original copyright notice is kept.

Yoink these prompts

Prompt 1
Explain how mcp-radar calculates its momentum score for ranking repositories.
Prompt 2
Walk me through setting up mcp-radar's GitHub Actions workflow on my own fork.
Prompt 3
Help me run scripts/radar.py locally to fetch trending MCP servers.
Prompt 4
Show me how to consume data/data.json to build my own MCP directory page.

Frequently asked questions

wtf is mcp-radar?

A daily automated tracker that scans GitHub for new MCP servers and ranks them by growth, publishing the results as a live directory site.

What language is mcp-radar written in?

Mainly HTML. The stack also includes Python, GitHub Actions, HTML.

What license does mcp-radar use?

Use freely for any purpose, including commercial use, as long as you keep the copyright notice.

How hard is mcp-radar to set up?

Setup difficulty is rated easy, with roughly 5min to a first successful run.

Who is mcp-radar for?

Mainly developer.

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