endoflife.ai MCP MCP server

An official Model Context Protocol server providing software lifecycle intelligence. It allows AI agents to query end-of-life dates, calculate proprietary risk scores, audit software stacks, check CISA KEV exposure, and review edge device support status for over 500 products.

Endpoint and access

No sign-in: your client connects and lists tools immediately, with no account or key.

No sign-inEndpoint checked 2026-10-05Operated by endoflife.ai

MCP endpoint (Streamable HTTP)

https://mcp.endoflife.ai

Vendor documentation

What you can do with it

Check if a specific software version is end-of-life
Get the EOL Risk Score for a product version
Audit a software stack or SBOM for unsupported dependencies
Query CISA KEV exposure for specific products

Tools advertised by the last live check:

check_eol
get_risk_score
scan_stack
list_products
get_product_lifecycle
get_kev_exposure
get_upcoming_eol
get_edge_device_status
get_upgrade_path
check_sbom

Connect from your client

Each snippet registers the same endpoint; pick the client you use.

This server is operated by the named third party. Listing and endpoint checks are not an endorsement or a security audit. Review the operator's permissions, terms, and data handling before connecting. How listings are checked and corrected.

Claude Code

Run this once in a terminal. It registers a Streamable HTTP server. Use --scope project to write .mcp.json for the repo.

Claude Code configuration

claude mcp add --transport http endoflife-ai-mcp https://mcp.endoflife.ai

Codex

Run this once. Codex stores MCP servers in ~/.codex/config.toml (or .codex/config.toml in a trusted project).

Codex configuration

codex mcp add endoflife-ai-mcp --url https://mcp.endoflife.ai

Cursor

Merge this server into .cursor/mcp.json in your project, then enable endoflife-ai-mcp in your MCP settings.

Cursor configuration

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

Cline

Merge this into cline_mcp_settings.json (Cline → MCP Servers → Configure). The type must be streamableHttp for a remote HTTP server.

Cline configuration

{
  "mcpServers": {
    "endoflife-ai-mcp": {
      "type": "streamableHttp",
      "url": "https://mcp.endoflife.ai",
      "disabled": false
    }
  }
}

VS Code

Merge this server into .vscode/mcp.json. Use MCP: List Servers to start endoflife-ai-mcp and inspect its tools.

VS Code configuration

{
  "servers": {
    "endoflife-ai-mcp": {
      "type": "http",
      "url": "https://mcp.endoflife.ai"
    }
  }
}

Gemini CLI

Run this once. It writes .gemini/settings.json in the current project; pass --scope user for ~/.gemini/settings.json.

Gemini CLI configuration

gemini mcp add --transport http endoflife-ai-mcp https://mcp.endoflife.ai

Claude Desktop

Merge this into claude_desktop_config.json (macOS: ~/Library/Application Support/Claude/, Windows: %APPDATA%\Claude\), then restart Claude Desktop.

Claude Desktop configuration

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

Windsurf

Merge this into ~/.codeium/windsurf/mcp_config.json, then refresh MCP in Cascade. Windsurf remote servers use serverUrl, not url.

Windsurf configuration

{
  "mcpServers": {
    "endoflife-ai-mcp": {
      "serverUrl": "https://mcp.endoflife.ai"
    }
  }
}

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