deprecation-mcp

A free, open MCP server for checking whether a vendor API or SDK is active, deprecated, or sunset — so an agent doing upgrade/maintenance work can check before it breaks, instead of after.

API/SDK deprecations are scattered across changelog pages, RSS feeds (if you're lucky), and Sunset/Deprecation HTTP headers (if the vendor bothers implementing RFC 8594). This server puts a curated, hand-verified answer behind one tool call.

No payment gating, no metering, no billing code of any kind — this is a plain open MCP server.

What it exposes

One tool, check_deprecation:

check_deprecation(provider: string, target: string) -> {
  status: "active" | "deprecated" | "sunset" | "unknown",
  deprecated_on: string | null,
  sunset_on: string | null,
  replacement: string | null,
  migration_url: string | null,
  source_url: string,
  last_verified_at: string
}

status: "unknown" (with a blank source_url) is returned for any provider/target not in the curated dataset below — it means "not tracked", not "confirmed active."

Curated dataset

Ten provider APIs/SDKs, each checked against the vendor's own published page (source_url) on the date in last_verified_at. Data lives in data/deprecations.json.

provider	target	status
aws	aws-sdk-js-v2	sunset
stripe	sources-api	deprecated
twilio	programmable-chat	sunset
github	dependency-graph-sbom-sync	deprecated
openai	assistants-api	deprecated
slack	classic-apps	deprecated
sendgrid	v2-mail-send	deprecated
shopify	rest-admin-api	deprecated
auth0	rules-and-hooks	deprecated
paypal	nvp-soap-api	deprecated

Lookups are case-insensitive and also match each record's aliases (e.g. aws/aws-sdk resolves to aws-sdk-js-v2).

Run it

npm install
npm run build
npm start        # starts the stdio MCP server

Add to an MCP client

Claude Code (.mcp.json in your project, or claude mcp add):

{
  "mcpServers": {
    "deprecation": {
      "command": "node",
      "args": ["/absolute/path/to/deprecation-mcp/dist/index.js"]
    }
  }
}

Any other stdio-based MCP client config follows the same shape: run node dist/index.js as the server command.

Worked example

Once connected, an agent calls:

{
  "name": "check_deprecation",
  "arguments": { "provider": "aws", "target": "aws-sdk-js-v2" }
}

and gets back:

{
  "status": "sunset",
  "deprecated_on": "2024-09-08",
  "sunset_on": "2025-09-08",
  "replacement": "AWS SDK for JavaScript v3",
  "migration_url": "https://docs.aws.amazon.com/sdk-for-javascript/v3/developer-guide/migrating-to-v3.html",
  "source_url": "https://aws.amazon.com/blogs/developer/announcing-end-of-support-for-aws-sdk-for-javascript-v2/",
  "last_verified_at": "2026-08-08"
}

Tests

npm test   # builds, then runs node:test against the lookup logic

Updating the dataset

Edit data/deprecations.json directly — no build step or scraper needed, it's read at server startup. Each record needs a real source_url you actually checked and an accurate last_verified_at. When you re-verify a record, recompute its content_hash too (see below).

Drift detection

Hand-checking ten source_urls every so often doesn't scale, and stale data is worse than no data. A weekly GitHub Action (.github/workflows/check-drift.yml) fetches each record's source_url, hashes the response body (sha256), and compares it to the content_hash stored on the record at last_verified_at. If the hash changed, the page changed since it was last verified — the record is flagged, not auto-updated. The automation never writes to data/deprecations.json; a changed page only means "a human or agent needs to re-verify this record by hand," never an inferred new status. Wrong auto-inferred status is worse than no automation.

When drift or a fetch failure is detected, the workflow opens (or updates) a single GitHub issue labeled drift-check summarizing which records need attention; it closes that issue automatically once a later run comes back clean.

Run it locally:

npm run build
npm run check-drift

Exits 0 if every record's hash still matches, 1 otherwise.

All ten source_urls were fetched with a plain GET (no headless browser, no bot-protection workaround) when their content_hash baselines were seeded, and all ten succeeded. If a vendor later adds bot protection or a redirect that breaks the plain-GET fetch, that record will show up as fetch_failed in the weekly report rather than being silently skipped.

Known limitation: the AWS blog post, Stripe docs page, and PayPal docs page (aws/aws-sdk-js-v2, stripe/sources-api, paypal/nvp-soap-api) embed per-request dynamic content — a nonce, timestamp, or session token that changes on every fetch even when the substantive page content hasn't. Their body hash is therefore not fully stable across requests, and the weekly check may occasionally flag one of these three as "drifted" even with no real change. This is disclosed rather than worked around (e.g. by stripping known-volatile substrings): a false-positive "please go look at this page" is an acceptable cost for a tool whose entire design principle is to never guess at a status. A human/agent re-verifying such a flagged record should expect it may be a false alarm.