Paxaver MCP Server
Enables AI assistants to interact with the Paxaver school lunch platform, allowing users to check menus, order lunch, manage wallet funds, register for events, donate, and perform administrative tasks like managing restaurants and menu items.
README
Paxaver MCP Server
AI-facing adapter over the Paxaver school community platform. Implements the Model Context Protocol (MCP) on Cloudflare Workers with RS256 JWT validation, capability-first authorization, and Streamable HTTP transport.
What this is
The Paxaver MCP server lets AI assistants (ChatGPT, Claude, Perplexity, and any MCP-compatible client) act on behalf of a Paxaver user: check a lunch menu, order lunch, top up a wallet, register for fundraising events, donate to a school, volunteer, and — for school administrators — manage restaurants, menu items, events, and daily orders.
It is a thin adapter. It contains no business logic and never touches the database, Stripe, or email directly. Every action is delegated to the private Paxaver backend API over a Cloudflare service binding (same region, no public network hop). The MCP server's only responsibilities are:
- MCP protocol handling (JSON-RPC 2.0, Streamable HTTP)
- RS256 JWT validation via JWKS from the centralized Paxaver auth worker
- Per-tool capability policy and role gating
- Sanitized, user-safe error mapping
Authentication is handled by the Paxaver auth worker (auth.paxaver.com), which
serves as the OAuth 2.0 / OIDC authorization server. The MCP server validates
the resulting RS256 JWTs and forwards them to the backend. The MCP server itself
is not an authorization server.
Architecture
┌───────────────┐ MCP (Streamable HTTP) ┌──────────────────────┐
│ AI Client │ ─────────────────────────────▶ │ Paxaver MCP Worker │
│ ChatGPT/Claude│ ◀───────────────────────────── │ (this repo) │
│ /Perplexity │ RS256 JWT + JSON-RPC 2.0 │ Hono + jose │
└───────────────┘ └──────────┬───────────┘
│
Cloudflare service binding
(PAXAVER_API, same region)
│
▼
┌──────────────────────┐
│ Paxaver API Worker │
│ (private backend) │
│ D1 · Stripe · SES │
└──────────────────────┘
The MCP worker never binds D1, Stripe, or SES. The service binding carries a
short-lived JWT (120s TTL, audience paxaver-internal) that the backend trusts as
an internal call while still attributing the action to the authenticated Paxaver
user. See docs/architecture.md for the full picture.
Quick start
Install
npm install @paxaver/mcp
Develop locally
# 1. Install dependencies (Node >= 22)
npm install
# 2. Configure local secrets
cp .dev.vars.example .dev.vars # then fill in JWT_SECRET, OAUTH_STATE_SECRET, ...
# 3. Run the worker locally (Miniflare)
npm run dev
# 4. Typecheck, lint, and test
npm run typecheck
npm run lint
npm test
The local dev server starts on http://localhost:8787. Discovery endpoints live
under /.well-known/; the MCP endpoint is POST /mcp.
Note: Local development without the
PAXAVER_APIservice binding falls back to authenticated HTTPS againstAPI_BASE_URL(defaulthttp://localhost:8787). For full integration testing, run the Paxaver backend worker locally and pointAPI_BASE_URLat it.
Deployment
Two environments, each a separate Worker with its own custom domain:
| Environment | Worker name | Domain |
|---|---|---|
staging |
paxaver-mcp-staging |
mcp.paxaver.dev |
production |
paxaver-mcp |
mcp.paxaver.com |
The production worker serves both CA and US users through a single endpoint
(mcp.paxaver.com). User region is resolved from the JWT tenant_id claim,
and the worker routes to the correct regional backend via service bindings
(PAXAVER_API_CA, PAXAVER_API_US). Currency is determined by the user's
school, not by the MCP endpoint.
npm run deploy:staging # wrangler deploy --env staging
npm run deploy:prod # wrangler deploy --env production
Secrets must be set with wrangler secret put --env production:
JWT_SECRET, OAUTH_STATE_SECRET, GOOGLE_CLIENT_ID, GOOGLE_CLIENT_SECRET,
CHATGPT_VERIFY_TOKEN. See docs/deployment.md.
Tools
The server exposes 31 tools grouped into six categories. Visibility in
tools/list is filtered by the caller's roles; every call is re-authorized
before dispatch, and the backend re-checks data-level access (defense-in-depth).
| Category | Tools |
|---|---|
| User / account | get_user_info, update_student |
| Wallet | get_wallet_balance, get_wallet_status, add_funds, top_up_balance, donate_to_school |
| Orders & menu | order_lunch, get_orders, get_daily_menu, get_updates, get_daily_orders, get_monthly_orders, get_published_menu, create_draft_order, finalize_order, cancel_order |
| Events | get_upcoming_events, create_event, update_event, cancel_event, register_event, request_volunteer |
| Admin / restaurant | list_school_restaurants, create_restaurant, list_menu_items, create_menu_item, update_menu_item, set_menu_item_price, delete_menu_item, set_daily_menu |
Financial and destructive tools are labeled and require user confirmation. Full
reference: docs/tools.md. Authorization policy:
docs/authorization.md.
Documentation
| Document | Topic |
|---|---|
| docs/architecture.md | System architecture, service binding boundary, regional isolation |
| docs/authentication.md | JWT validation, JWKS, auth worker delegation, token format |
| docs/authorization.md | Capability policy table, role gating, defense-in-depth |
| docs/tools.md | Full tool reference with input schemas and classifications |
| docs/deployment.md | Wrangler config, environments, secrets, custom domains |
| docs/security.md | Security model, CORS, CSRF, error sanitization, headers |
| docs/compatibility.md | MCP protocol version, transports, supported AI clients |
| docs/migration.md | Migration from the legacy mcp-server/ in the private monorepo |
| CHANGELOG.md | Release history |
| SECURITY.md | Vulnerability reporting policy |
| CONTRIBUTING.md | Development setup and contribution process |
Tech stack
- Runtime: Cloudflare Workers (
compatibility_date: 2026-08-01,nodejs_compat) - Framework: Hono v4
- JWT: jose v6 (RS256 via JWKS)
- Protocol: MCP
2025-06-18, Streamable HTTP - Auth: RS256 JWT validation via centralized auth worker (
auth.paxaver.com) - Build/deploy: Wrangler v4
- Test: Vitest v2 (Workers pool + Node pool)
License
Apache-2.0. Copyright (c) 2026 Smartoire. See LICENSE.
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
Neon Database
MCP server for interacting with Neon Management API and databases
E2B
Using MCP to run code via e2b.
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.