ZBS Index What actually exists in applied AI, with the source next to it

mcp server

endoflife.ai — Software Lifecycle Intelligence

EOL dates and risk scores for 480+ software products. Check versions, score risk, audit stacks.

Description as published by the maintainer. Source

  • version 1.0.2
  • active

active — Most recent push to the repository was 2026-08-01.

What this server can do

5 functions, named and described by the server itself. Parameter names are shown because they say more about what a function does than its name usually does.

check_eol(product, version)
Check whether a specific version of a software product is end-of-life (EOL). Returns lifecycle status, the EOL date, days remaining or days past EOL, and the latest release. Use this for "is X version Y still supported?" questions. Required: product, version.
get_product_lifecycle(product)
Get the full version history for one product: every tracked version/cycle with its release date, EOL date, support status, and EOL Risk Score™. Use for "give me the whole EOL schedule for X". Required: product.
get_risk_score(product, version)
Get the proprietary EOL Risk Score™ (0–100) for a product version, with the four-factor breakdown (EOL recency, attack surface, CISA KEV exposure, extended support). Omit "version" to score the product's highest-risk (most recently end-of-lifed) release. Use this to quantify how dangerous it is to keep running something. Required: product.
list_products(query)
List or search the products endoflife.ai tracks (480+). Pass an optional "query" substring to find the canonical slug for a product before calling the other tools (e.g. "postgres" → "postgresql"). Returns matching product slugs.
scan_stack(items)
Audit a whole stack at once. Provide a list of products (optionally with versions) — e.g. parsed from a package.json, Dockerfile, or SBOM — and get an EOL Risk Score for each, so you can see what is unsupported and dangerous in one call. Free tier: up to 5 items; Pro: up to 50. Required: items.

Last successful function declaration observed on . Source: https://mcp.endoflife.ai. We list what the server declared; we do not call any of these functions.

Endpoint status observed on . Source: https://mcp.endoflife.ai.

Signals

These are separate measurements of different things. They are deliberately not combined into one score, because a popularity number that mixes website traffic with saves and stars cannot be checked or acted on.

Signal Value What it measures Window Observed Source
GitHub stars 0 Number of GitHub accounts that bookmarked this repository since it was created. It is a bookmark count, not installs, not active users and not quality. cumulative, all time GitHub
Last commit 2026-08-01 Date of the most recent push to any branch. This is the strongest cheap indicator of whether the project is still maintained. point in time GitHub
Open issues 0 Open issues plus open pull requests, as GitHub counts them together. A high number can mean an active project or an abandoned one. as of fetch GitHub
Latest published version 1.0.2 Latest version string the maintainer published to the registry. as of fetch Model Context Protocol
Registry record last updated 2026-07-29 When the registry record was last updated by its maintainer. point in time Model Context Protocol
License MIT Licence GitHub detected in the repository. Detection can be wrong; the LICENSE file is authoritative. as of fetch GitHub
First listed in the MCP Registry 2026-07-29 Date this server was first published to the official MCP Registry. Not a usage or quality measure. point in time Model Context Protocol
repository status active The repository exists on GitHub and is not archived. This says nothing about how recently it was worked on. as of fetch GitHub
mcp tools declared 5 tools Number of functions the server itself declared when asked to list them. This is what the server offers an agent, not a measure of how well any of them work. as of probe mcp.endoflife.ai
mcp endpoint status ok The server listed 5 functions when asked. as of probe mcp.endoflife.ai

Where to get it

Related, by what their authors tagged them

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These share tags the maintainers applied themselves, such as devops. Common tags like "mcp" or "ai" are ignored for this: agreeing with six hundred other projects is not a similarity.

This is not a recommendation and not a test result. It is a map of what the authors said their work is about.

How the author describes it

Topics the maintainer set on GitHub: devops, end-of-life, eol, mcp, model-context-protocol, software-lifecycle.

This record as data

Every field on this page, with its source and observation date, is in the catalog JSON. Fetch the whole kind at once instead of parsing this HTML.

GET /api/v1/entries/mcp_server.json

Sources

  1. endoflife-ai/endoflife-mcp on GitHub — GitHub, observed , trust tier 3.
  2. Tools declared by the MCP server at https://mcp.endoflife.ai — mcp.endoflife.ai, observed , trust tier 1.
  3. Official MCP Registry — Model Context Protocol, observed , trust tier 1.