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MCP Server Registry — Health & Trust Scores

Catalog Model Context Protocol servers and get the answer you need before wiring one into an agent: is it maintained, what transport does it speak, how do you install it, and should you trust it. Maintenance health, abandonment risk and a 0-100 trust score. Free GitHub API.

MCP Server Registry — Health & Trust Scores returns 16 documented output fields, including fullName, trustScore, maintenanceHealth, abandonmentRisk and daysSincePush. Every field carries a declared type, a written description and an example value. 7 runs are recorded on Apify.

Run it on ApifyPay per result · no subscription
16
Output fields
8
Inputs
7
Runs
2026-10-16
Last run

01 — output

What it returns

Every field the extractor writes to its dataset, with its type, a written description and an example value.

FieldTypeWhat it holdsExample
fullNamestringnullFull personal or entity name as published.Jane Cooper
trustScoreintegernullTrust score, from 0 to 100. Higher is more trustworthy.0
maintenanceHealthintegernullMaintenance health on a 0-100 scale.74
abandonmentRiskstringnullHow likely this project is to be abandoned, in words.low
daysSincePushintegernullDays since the last commit was pushed.12
transportstringnullHow the connection was made, for example tls or tcp.<transport>
installMethodstringnullHow the package is installed.<installMethod>
languagestringnullLanguage code for this record's text.en
starsintegernullNumber of stars recorded upstream.131
forksintegernullNumber of forks recorded upstream.27
licensestringnullLicence or registration the record holds.MIT
descriptionstringnullDescription of this record, as published by the source.<description>
topicsstringnullTopics this record is about.["pricing","shipping","returns"]
urlstringnullThe URL this row describes.https://example.com/pricing
archivedbooleannullWhether the source has archived this item.true
statusstringnullOutcome recorded for this row.ok

02 — sample

One record

Assembled from the example values declared on the schema above, not invented at render time.

{
  "fullName": "Jane Cooper",
  "trustScore": 0,
  "maintenanceHealth": 74,
  "abandonmentRisk": "low",
  "daysSincePush": 12,
  "transport": "<transport>",
  "installMethod": "<installMethod>",
  "language": "en"
}

03 — input

What you give it

InputTypeDescription
topicsarrayoptionalLeave empty to use the standard MCP topics (mcp-server, model-context-protocol, mcp, modelcontextprotocol).
githubTokenstringoptionalSecret — supply your own value.
activeOnlybooleanoptionalKeep only servers pushed recently enough to score as 'active' — the ones safe to depend on.
minTrustScoreintegeroptionalFilter out low-confidence servers. Trust weights maintenance over popularity.
minStarsintegeroptionalSkip servers below this star count.
includeArchivedbooleanoptionalArchived servers are dead by definition; off by default.
maxPagesintegeroptional100 servers per page. 2 pages per topic is a good default.
maxItemsintegeroptionalHard limit, strictly enforced.

04 — run

Run MCP Server Registry on your own input

It runs in the cloud on Apify. Nothing to install, and you are billed per result returned rather than per attempt.

Open on Apify ↗

05 — questions

Asked before running it

16 of 16 fields described

What does MCP Server Registry — Health & Trust Scores return?
It returns 16 documented output fields: fullName, trustScore, maintenanceHealth, abandonmentRisk, daysSincePush, transport, installMethod, language, stars, forks, license and description. Each field declares its type, a description of what it holds, and an example value. The remaining 4 are listed in the output schema below.
What input does MCP Server Registry — Health & Trust Scores take?
All 8 inputs are optional and ship with usable defaults, so it runs as-is. They are listed with their types below.
Does MCP Server Registry — Health & Trust Scores need an API key or login?
Yes — githubToken is marked secret and must be supplied by you. Nothing else in the input schema needs credentials.
How do I run MCP Server Registry — Health & Trust Scores?
It runs on Apify. Start it from its listing with the inputs above, or call the Apify API with the Actor's ID. Results land in a dataset you can export as JSON, CSV or Excel, or read through the Apify API into your own pipeline.