earn-dataset-mcp
io.github.jayjex/earn-dataset-mcp
About earn-dataset-mcp
earn-dataset-mcp is an MCP server published by the GitHub account jayjex. Static Superteam Earn dataset: 28 listings with full text (2026-09-04). Zero network.
It asks for no keys or passwords.
Version 1.0.0 was published on 5 September 2026, and the source code is public, so you can read it before installing.
Written from the registry entry. 4 automated checks on registry metadata: 2 pass, 0 warn, 0 fail, 2 info. How we check.
What it asks for
This server declares no environment variables, so it asks for no keys or settings.
Checks
| Check | Result | Detail |
|---|---|---|
| Source repository linked | Pass | https://github.com/jayjex/earn-dataset-mcp |
| Secrets requested | Info | Asks for no secrets |
| Namespace ownership | Info | Name verified via GitHub account jayjex |
| Registry text aimed at the AI | Pass | Description and settings contain no hidden characters or instructions to the AI |
What people say
No Hacker News threads link to its source code.
Look further: search Reddit, search Hacker News, read its GitHub issues. These are not reviews we checked.
Facts
| Registry name | io.github.jayjex/earn-dataset-mcp |
|---|---|
| Publisher | GitHub account jayjex |
| How the name is verified | Name verified via GitHub account jayjex. The registry ties the name prefix to that account or domain; it does not check the code. |
| Type | Local: runs on your machine from a package |
| Version | 1.0.0 |
| Published | |
| Last updated | |
| Source repository | https://github.com/jayjex/earn-dataset-mcp |
| Website | None linked |
| Category | Databases & data (assigned by keyword rule, not by hand) |
Related servers in Databases & data
- World Cup 2026 Tour4/4Free MCP server for World Cup 2026 fixtures, local kickoff times,…
- frugal-memory7/7Memory for AI assistants in one SQLite file: full-text search, no…
- gadak4/4Ask a local SQLite mirror of your Jira and Confluence: SQL,…
- CRED-17/7Domain credibility ratings from the CRED-1 dataset: check, batch…
- autocarver7/7Qualify dataset columns and process them against a target with…
- where-my-hug7/7Which parts of an ML need Hugging Face already covers. Every model…