endoflife ai — Software Lifecycle Intelligence

endoflife.ai — MCP Server

Exposes endoflife.ai's lifecycle intelligence to AI agents over the Model Context Protocol (MCP, Streamable HTTP transport). It's a thin, dependency-free Cloudflare Worker that wraps the existing api.endoflife.ai/v1 endpoints — no data duplicated.

Tools

Tool	What it does	Wraps
check_eol	Is product X version Y end-of-life?	GET /v1/status/:slug/:version
get_risk_score	EOL Risk Score™ (0–100) + factor breakdown	GET /v1/score/:slug[/:version]
scan_stack	Score a whole stack at once	POST /v1/batch
list_products	Search the 480+ tracked products → resolve slugs	GET /v1/products
get_product_lifecycle	Full version history + dates for one product	GET /v1/product/:slug

Deploy

Prereq: npm install -g wrangler and wrangler login (once).

cd mcp-server
npm install
# Test immediately on the workers.dev URL:
wrangler deploy          # prints https://endoflife-mcp.<your-subdomain>.workers.dev
# Production (custom domain):
wrangler deploy --env production

Custom domain (mcp.endoflife.ai)

The route in wrangler.toml needs mcp.endoflife.ai to resolve through Cloudflare:

1. Cloudflare dashboard → endoflife.ai zone → DNS → Add record.
2. Type AAAA, Name mcp, IPv6 100::, Proxied (orange cloud). (This is the standard Cloudflare placeholder for a Worker route — the Worker intercepts before the address is ever used.)
3. Re-run wrangler deploy --env production.

Until DNS is set, use the workers.dev URL everywhere below.

Connect from an MCP client

Claude Desktop / Cursor (claude_desktop_config.json → mcpServers):

{
  "mcpServers": {
    "endoflife": { "command": "npx", "args": ["mcp-remote", "https://mcp.endoflife.ai"] }
  }
}

Clients with native remote-MCP support can use the URL directly:

{ "mcpServers": { "endoflife": { "url": "https://mcp.endoflife.ai" } } }

Test without a client

# tools/list
curl -s https://mcp.endoflife.ai -X POST -H 'Content-Type: application/json' \
  -d '{"jsonrpc":"2.0","id":1,"method":"tools/list"}' | jq

# call a tool
curl -s https://mcp.endoflife.ai -X POST -H 'Content-Type: application/json' \
  -d '{"jsonrpc":"2.0","id":2,"method":"tools/call","params":{"name":"get_risk_score","arguments":{"product":"openssl"}}}' | jq

# discovery card
curl -s https://mcp.endoflife.ai/.well-known/mcp/server-card.json | jq

Auth & tiers

Free tier works with no key. Forward an X-API-Key header (your existing Pro keys) to unlock Pro limits — the Worker passes it straight through to api.endoflife.ai.

Notes / Phase 2

• Per-client rate limits: Phase 1 relies on the upstream API's limits. If MCP traffic grows, add a KV rate-limiter here keyed on CF-Connecting-IP (reuse the API_RATE_LIMIT namespace) before the upstream call.
• Registry listings: submit to the public MCP registries once live (see the launch checklist).
• Discovery card is also served from the main site at https://endoflife.ai/.well-known/mcp/server-card.json so agents that probe the apex domain find it.