Remote MCP server for Scry component search — Cloudflare Workers + Firebase Auth
- ✓Open-source license (MIT)
- ✓Actively maintained (<30d)
- ✓Clear description
- ✓Documented (README)
claude mcp add scry-mcp -- npx -y vitest{
"mcpServers": {
"scry-mcp": {
"command": "npx",
"args": ["-y", "vitest"],
"env": {
"FIREBASE_API_KEY": "<firebase_api_key>",
"SCRY_SEARCH_API_URL": "<scry_search_api_url>",
"SCRY_SEARCH_API_KEY": "<scry_search_api_key>",
"SCRY_CALLER_ASSERTION_SECRET": "<scry_caller_assertion_secret>",
"COOKIE_ENCRYPTION_KEY": "<cookie_encryption_key>"
}
}
}
}FIREBASE_API_KEYSCRY_SEARCH_API_URLSCRY_SEARCH_API_KEYSCRY_CALLER_ASSERTION_SECRETCOOKIE_ENCRYPTION_KEYMCP Servers overview
# Scry MCP Server
A spec-compliant remote [MCP](https://modelcontextprotocol.io/) server on Cloudflare Workers that exposes multi-modal vector search over the Scry component database. Authenticates users via Firebase and issues its own OAuth tokens to MCP clients.
Compatible with Claude Desktop, ChatGPT, Cursor, and any MCP client via [`mcp-remote`](https://www.npmjs.com/package/mcp-remote).
## Architecture
```
Claude Desktop / ChatGPT / Any MCP Client
│
│ (stdio via mcp-remote)
▼
mcp-remote (local proxy)
│
│ (Streamable HTTP + OAuth 2.1)
▼
Cloudflare Worker ──────────────► Firebase Auth (upstream IdP)
├─ OAuthProvider (token mgmt)
├─ FirebaseAuthHandler (login UI + token verify)
└─ ScryMCP (Durable Object)
│
▼
Scry Search API (Next.js)
├─ POST /api/search — vector search (text, image, hybrid)
├─ GET /api/image/... — image proxy (CDN auth)
└─ POST /api/image/presign — presigned URL generation
```
The Worker acts as both an **OAuth server** to MCP clients (issuing its own tokens) and an **OAuth client** to Firebase (authenticating users upstream). The MCP client never sees the Firebase token.
## Tools
| Tool | Description |
|------|-------------|
| `search_components` | Text-based semantic + keyword hybrid search over UI components. `scope: "project"` (default) never widens; `scope: "org"` also returns opted-in, readable sibling projects' rows, marked `crossProject` |
| `search_by_image` | Visual similarity search using base64 image input; same `scope` semantics |
| `get_component_screenshot` | Fetch a component screenshot (returns image block + presigned URL) |
| `whoami` | Returns the authenticated user's info |
## Project Structure
```
scry-mcp/
├── src/
│ ├── index.ts # Entry point — OAuthProvider wrapper
│ ├── firebase-handler.ts # Auth handler — login UI + Firebase verification
│ ├── mcp.ts # MCP server — 4 Scry search tools
│ └── utils/
│ └── firebase-verify.ts # Firebase ID token verification (Workers-compatible)
├── test/
│ ├── firebase-verify.test.ts # Unit tests for token verification
│ ├── firebase-handler.test.ts# Integration tests for auth handler
│ ├── mcp.test.ts # Tests for MCP tools
│ ├── e2e.test.ts # E2E smoke tests (requires dev server)
│ └── fixtures/
│ └── tokens.ts # Test JWT fixtures
├── vitest.config.ts
├── wrangler.jsonc
├── package.json
├── tsconfig.json
├── eslint.config.mjs
└── worker-configuration.d.ts
```
## Prerequisites
- Node.js v22+
- A [Cloudflare account](https://dash.cloudflare.com/sign-up)
- A [Firebase project](https://console.firebase.google.com) with Authentication enabled
- The Scry Next.js search API running (provides `/api/search` and `/api/image/presign`)
## Local Development
### 1. Install dependencies
```bash
npm install
```
### 2. Create local environment file
```bash
cp .dev.vars.example .dev.vars
```
Edit `.dev.vars` with your values:
```
FIREBASE_API_KEY=your-firebase-api-key
FIREBASE_AUTH_DOMAIN=your-project.firebaseapp.com
FIREBASE_PROJECT_ID=your-project-id
SCRY_SEARCH_API_URL=http://localhost:3000
SCRY_SEARCH_API_KEY=your-search-api-key
SCRY_CALLER_ASSERTION_SECRET=same-value-as-scry-nextjs-SCRY_CALLER_ASSERTION_SECRET
COOKIE_ENCRYPTION_KEY=any-random-string-for-dev
```
`SCRY_SEARCH_API_KEY` is transport auth: it proves a request came from this
worker. `SCRY_CALLER_ASSERTION_SECRET` signs the short-lived `X-Scry-Caller`
JWT that tells the search API *which user* the worker is acting for; it is the
only channel that carries the uid, and the search API verifies it with the same
secret before it trusts the uid. Without the secret the search tools return
`SERVER_MISCONFIGURED` rather than searching anonymously.
### 3. KV configuration
The production and staging KV namespaces already exist and are configured in
`wrangler.jsonc`. Local development uses Wrangler's local KV emulator; no cloud
namespace creation is needed.
### 4. Start the dev server
```bash
npm run dev
```
The server runs at `http://localhost:8787`.
### 5. Test with MCP Inspector
```bash
npx @modelcontextprotocol/inspector
# Enter: http://localhost:8787/mcp
```
## Running Tests
```bash
# Unit + integration tests
npm test
# With verbose output
npx vitest run --reporter=verbose
# Watch mode
npm run test:watch
# E2E tests (requires dev server running in another terminal)
npm run dev # terminal 1
npm run test:e2e # terminal 2
# Full verification (typecheck + lint + tests)
npm run verify
```
## Deployment
The shared workflow is `.github/workflows/deploy.yml`, using Node 22 and Wrangler
4.72.0 (the lockfile version). PRs targeting `stage` or `main` run typecheck,
lint, widget build and tests without deploying. Feature PRs target `stage`;
promotion advances `main` to the tested staging commit.
| Branch | Environment | Worker URL | Wrangler target |
|--------|-------------|------------|-----------------|
| `stage` | staging | https://scry-mcp-staging.epinnock.workers.dev | `--env staging` |
| `main` | production | https://scry-mcp.epinnock.workers.dev | top-level (no `--env`) |
Pushes to these branches deploy after checks pass; Markdown and `docs/**` changes
alone do not trigger push CI. Use the workflow's `environment` choice for a manual
run, selecting the branch whose commit should deploy. Deployments are serialized
per ref and include the Phase 0 commit, branch, build time, run ID, actor and Sentry
release stamps. The smoke gate retries `/healthz` six times at 10-second intervals
until its commit matches the run SHA, then requires unauthenticated `/mcp` to return
401 and `/.well-known/oauth-authorization-server` to return 200.
For an authorized manual deploy, `npm run deploy:staging` selects staging and
`npm run deploy:production` (or `npm run deploy`) retains the existing production
worker and stamp flags. Production intentionally has no `env.production` block;
use a top-level deploy/dry-run, not `--env production`.
After this Phase 1 change merges, create `stage` from the updated `main` and push
it to trigger the first staging deploy. CI reuses the repository's existing
`CLOUDFLARE_API_TOKEN` and `CLOUDFLARE_ACCOUNT_ID`. GitHub deployment environments
are `staging` and `production`, with their respective worker URLs. The existing
`staging-OAUTH_KV` namespace is reused, and Wrangler applies migration `v1` to the
new worker's `ScryMCP` Durable Object; no KV creation or manual DO migration is
needed. Staging uses workers.dev and has no custom routes.
Phase 1 health and OAuth smoke checks work without worker secrets: health reads
only stamp vars, the provider builds metadata from the request origin and endpoint
configuration, and missing bearer auth returns 401 before accessing KV or services.
Firebase sign-in, search and image generation need Phase 2 configuration:
- Add staging `FIREBASE_API_KEY`, `FIREBASE_AUTH_DOMAIN`, and `FIREBASE_PROJECT_ID`
for `scry-dev-dashboard-stage`.
- Set `SCRY_SEARCH_API_URL` to the scry-nextjs stable stage alias and
`SCRY_SEARCH_API_KEY` to its stage-only API key.
- Set `SCRY_CALLER_ASSERTION_SECRET` to the same value as the scry-nextjs Preview
deployment's `SCRY_CALLER_ASSERTION_SECRET` (`wrangler secret put
SCRY_CALLER_ASSERTION_SECRET --env staging`; production is top-level,
`wrangler secret put SCRY_CALLER_ASSERTION_SECRET`). Generate a distinct value
per environment with `openssl rand -base64 48`. Set it on scry-nextjs first,
with its `ALLOW_LEGACY_USER_HEADER=true` transition flag on, then deploy the
worker, then turn the flag off.
- Add a staging `COOKIE_ENCRYPTION_KEY`, `GEMINI_API_KEY` for image generation,
and optionally `SENTRY_DSN` for error reporting. In Phase 2, use
`wrangler secret put <NAME> --env staging`; production secrets remain top-level.
- In the staging Firebase console, authorize
`scry-mcp-staging.epinnock.workers.dev` and enable the intended sign-in providers
(Google and email/password alongside GitHub).
Do not enable `DEV_BYPASS_AUTH` on deployed workers. Full authenticated staging
verification follows in Phase 2 after those secrets and Firebase settings exist.
## Firebase Setup
1. Create a Firebase project at [console.firebase.google.com](https://console.firebase.google.com)
2. Enable Authentication > Sign-in method > Google and/or Email/Password
3. Add your Worker's domain to authorized domains: Authentication > Settings > Authorized domains > Add `scry-mcp.<your-account>.workers.dev`
4. Copy config values from Project Settings > General > Web app config: `apiKey`, `authDomain`, `projectId`
## Client Setup (Claude Desktop)
Add to your Claude Desktop config (`~/Library/Application Support/Claude/claude_desktop_config.json` on macOS):
```json
{
"mcpServers": {
"scry": {
"command": "npx",
"args": [
"mcp-remote",
"https://scry-mcp.<your-account>.workers.dev/mcp"
]
}
}
}
```
For local development:
```json
{
"mcpServers": {
"scry": {
"command": "npx",
"args": ["mcp-remote", "http://localhost:8787/mcp"]
}
}
}
```
Restart Claude Desktop. On first launch, a browser window opens for Firebase sign-in. After authenticating, the 4 tools appear in Claude's tool picker.
## Auth Flow
```
Claude Desktop mcp-remote Worker Firebase
│ │ │ │
│── start ──────────►│ │ │
│ │── GET /mcp ─────►│ │
│ │◄── 401 ──────────│ │
│ │ │ │
│ (browser opens) │── GET /authorize►│ │
│ │ │── render login ───►│
│ │ │◄── ID token ───────│
│ │ What people ask about scry-mcp
What is epinnock/scry-mcp?
+
epinnock/scry-mcp is mcp servers for the Claude AI ecosystem. Remote MCP server for Scry component search — Cloudflare Workers + Firebase Auth It has 0 GitHub stars and its last recorded update is dated 2026-09-16.
How do I install scry-mcp?
+
You can install scry-mcp by cloning the repository (https://github.com/epinnock/scry-mcp) or following the README instructions on GitHub. ClaudeWave also provides quick install blocks on this page.
Is epinnock/scry-mcp safe to use?
+
Our security agent has analyzed epinnock/scry-mcp and assigned a Trust Score of 87/100 (tier: Trusted). See the full breakdown of passed checks and flags on this page.
Who maintains epinnock/scry-mcp?
+
epinnock/scry-mcp is maintained by epinnock. The last recorded GitHub activity is dated 2026-09-16, with 1 open issues.
Are there alternatives to scry-mcp?
+
Yes. On ClaudeWave you can browse similar mcp servers at /categories/mcp, sorted by popularity or recent activity.
Deploy scry-mcp to your cloud
Ship this repo to production in minutes. Each platform spins up its own environment with editable env vars.
Maintain this repo? Add a badge to your README
Drop the badge into your GitHub README to show it's tracked on ClaudeWave. Each badge links back to this page and reflects the live Trust Score.
[](https://claudewave.com/repo/epinnock-scry-mcp)<a href="https://claudewave.com/repo/epinnock-scry-mcp"><img src="https://claudewave.com/api/badge/epinnock-scry-mcp" alt="Featured on ClaudeWave: epinnock/scry-mcp" width="320" height="64" /></a>More MCP Servers
Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
An open-source AI agent that brings the power of Gemini directly into your terminal.
Real-time global intelligence dashboard. AI-powered news aggregation, geopolitical monitoring, and infrastructure tracking in a unified situational awareness interface
🕷️ An adaptive Web Scraping framework that handles everything from a single request to a full-scale crawl! Don't be shy, join here: https://discord.gg/EMgGbDceNQ
The fastest path to AI-powered full stack observability, even for lean teams.