Upgradelens MCP Server

UpgradeLens

Evidence-backed dependency upgrade intelligence for AI coding agents.

Anonymous free evaluation quota — no signup and no API key required. Read-only. npm and PyPI only.

One deterministic, source-cited call answers: should this dependency move from version A to version B, and what must be handled?

• Remote MCP: https://upgradelens.mattpicone.workers.dev/mcp (streamable HTTP)
• REST: /openapi.json · /llms.txt · /pricing.json
• Decisions: proceed | review_required | block | unknown — unknown rather than fabricated certainty
• Action gate: edit dependency files only when action_allowed is true; target discovery always requires a follow-up check
• Sources: deps.dev, OSV.dev, registry.npmjs.org, pypi.org, endoflife.date. Every semantic claim carries evidence with a source URL and fetch timestamp.

Install

Cursor

Add UpgradeLens to Cursor (official cursor.com/install-mcp installer; also works as cursor://anysphere.cursor-deeplink/mcp/install?name=upgradelens&config=eyJ1cmwiOiJodHRwczovL3VwZ3JhZGVsZW5zLm1hdHRwaWNvbmUud29ya2Vycy5kZXYvbWNwIn0=).

Or add to .cursor/mcp.json (project) or ~/.cursor/mcp.json (global):

{
  "mcpServers": {
    "upgradelens": {
      "url": "https://upgradelens.mattpicone.workers.dev/mcp"
    }
  }
}

A checked-in example is at examples/cursor/.cursor/mcp.json. This is a docs/config install, not a Cursor Marketplace listing.

Claude Code

claude mcp add --transport http upgradelens https://upgradelens.mattpicone.workers.dev/mcp

Codex CLI

codex mcp add upgradelens --url https://upgradelens.mattpicone.workers.dev/mcp

Or configure it directly:

# ~/.codex/config.toml
[mcp_servers.upgradelens]
url = "https://upgradelens.mattpicone.workers.dev/mcp"

The CLI install path was verified end-to-end on 2026-08-30 with Codex 0.150.0-alpha.8: enabled connection, tool discovery, and a real check_dependency_upgrade call. The verification used an environment-backed owner Bearer token so it could not count as business demand; public evaluation installs need no token.

Gemini CLI

This repository includes gemini-extension.json and GEMINI.md:

gemini extensions install https://github.com/mattpicone/upgradelens

The Gemini extension gallery indexes public repos that have the gemini-cli-extension GitHub topic. That topic is set on this repository; gallery listing is a separate crawl and is not claimed here.

GitHub Copilot Agent Plugins

copilot plugin install mattpicone/upgradelens

Portable Agent Plugins 1.0 plugin.json plus Copilot's root .mcp.json are checked in and point at the remote HTTPS server. The existing mcp.json remains for other Agent Plugins-compatible clients. No credential is embedded. Maintainer-directory indexing is separate from these files.

Microsoft APM

apm install --mcp io.github.mattpicone/upgradelens --transport http

PydanticAI

from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerStreamableHTTP

server = MCPServerStreamableHTTP("https://upgradelens.mattpicone.workers.dev/mcp")
agent = Agent("your-model", toolsets=[server])

LangChain / LangGraph

from langchain_mcp_adapters.client import MultiServerMCPClient

client = MultiServerMCPClient({
    "upgradelens": {
        "transport": "streamable_http",
        "url": "https://upgradelens.mattpicone.workers.dev/mcp",
    }
})
tools = await client.get_tools()

Plain REST

curl -X POST https://upgradelens.mattpicone.workers.dev/v1/upgrade/check \
  -H 'content-type: application/json' \
  -d '{
    "ecosystem": "npm",
    "package": "express",
    "current_version": "4.19.2",
    "target_version": "5.1.0",
    "runtime": {"node": "20.11.0"}
  }'

One anonymous evaluation unit is shared across MCP and REST for a rolling 30-day network identity. When paid mode is enabled, additional units use x402 v2 USDC at $0.01 per analysis (10,000 atomic USDC); the public endpoint stays fail-closed in validation until the external testnet acceptance gate is recorded. POST /v1/keys is intentionally retired.

MCP tools

Response (abbreviated):

{
  "next_action": "review_migration_plan",
  "billing": {
    "mode": "validation",
    "units": 1,
    "price_usd": 0.01,
    "trial_remaining": null,
    "network": null,
    "payment_status": "validation_free"
  },
  "decision": "review_required",
  "action_allowed": false,
  "risk_score": 37,
  "latest_stable": "5.2.1",
  "security_delta": {
    "advisories_fixed_by_target": [{"id": "GHSA-qw6h-vgh9-j6wx", "aliases": ["CVE-2024-43796"]}]
  },
  "compatibility": {
    "runtime_supported": true,
    "dependency_changes": {"added": ["router"], "removed": ["depd"], "changed": []}
  },
  "reasons": ["Major version jump (4.19.2 -> 5.1.0).", "Upgrade fixes 1 known advisory: GHSA-qw6h-vgh9-j6wx."],
  "coverage": {"registry": {"status": "complete"}, "osv": {"status": "complete"}},
  "evidence": [{"id": "ev_...", "source_type": "osv", "source_url": "https://osv.dev/vulnerability/GHSA-qw6h-vgh9-j6wx", "fetched_at": "..."}],
  "confidence": 0.95,
  "freshness": "..."
}

Why call this instead of doing it yourself?

An agent can combine deps.dev + OSV + registries + changelogs manually — this service exists to compress those 5–7 fetch/normalize/reconcile steps into one deterministic call with:

• security delta (advisories affecting current vs. fixed by / still affecting target — including "this target is itself affected, pick a newer one"),
• runtime compatibility (engines.node / requires_python evaluated against your runtime),
• direct dependency diff between the two versions,
• yanked/deprecated/EOL flags,
• documented breaking changes (deterministically extracted from official release notes, with URLs),
• provenance for every claim, cacheable and repeatable.

Architecture

Cloudflare Worker (TypeScript/Hono) + D1 (SQLite). Version-pair analyses are cached by (ecosystem, package, from, to, runtime, analysis_version). Breaking-change facts are precomputed by a scheduled GitHub Actions job using deterministic extraction from official release notes — no LLM calls at runtime, ever. See docs/OPERATIONS.md.

API stability

Versioned under /v1. Response schemas only gain fields; existing fields are not repurposed. analysis_version identifies scoring-logic revisions.

License

MIT — see LICENSE. Security policy: SECURITY.md.