mcp-server-canyougrab
CanYouGrab API
Domain availability lookup API with subscription billing, built on FastAPI + DNS (Unbound resolver).
Live services:
API:
https://api.canyougrab.itDeveloper portal:
https://portal.canyougrab.itAuth:
https://auth.canyougrab.it(Auth0 custom domain)
Architecture Overview
┌──────────────────────────────────────────────────────────────────┐
│ Developer Portal │
│ (Zudoku/React on portal.canyougrab.it) │
│ Usage Dashboard · API Keys · Pricing · API Reference (OAS) │
└──────────────────┬───────────────────────────────────────────────┘
│ Auth0 JWT (portal) / Bearer API key (API)
▼
┌──────────────────────────────────────────────────────────────────┐
│ FastAPI Backend (v5.0.0) │
│ api.canyougrab.it:8000 │
│ │
│ ┌─────────────┐ ┌──────────┐ ┌──────────┐ ┌─────────────┐ │
│ │ app.py │ │ keys.py │ │billing.py│ │ auth.py │ │
│ │ /check/bulk │ │ /keys │ │/billing │ │ API key + │ │
│ │ /usage │ │ CRUD │ │/stripe │ │ JWT auth │ │
│ │ │ │ rotate │ │ webhook │ │ │ │
│ └──────┬──────┘ └──────────┘ └────┬─────┘ └─────────────┘ │
│ │ │ │
└─────────┼────────────────────────────┼───────────────────────────┘
│ │
▼ ▼
┌─────────────────┐ ┌─────────────────┐
│ Valkey (Redis) │ │ Stripe API │
│ Job queue + │ │ Subscriptions │
│ Rate limiting │ │ Webhooks │
└────────┬────────┘ └─────────────────┘
│
▼
┌─────────────────┐ ┌──────────────────────────────┐
│ RQ Worker │──DNS──▶ │ Unbound Resolver │
│ (worker.py) │ │ (dedicated droplet) │
│ ThreadPool(10) │ │ NS queries via VPC │
│ via RQ queue │ └──────────────────────────────┘
└─────────────────┘
┌──────────────────────────────┐
───────────────────▶│ PostgreSQL │
(auth, usage, │ API keys + Usage logs │
billing only) └──────────────────────────────┘Related MCP server: MCP Domain Availability Server
Directory Structure
zuplo/
├── backend/ # Python FastAPI backend
│ ├── app.py # Main API: /check/bulk, /usage, /health
│ ├── auth.py # API key auth (SHA-256) + Auth0 JWT auth (RS256)
│ ├── billing.py # Stripe checkout, portal, webhooks, card-on-file, usage details
│ ├── keys.py # API key CRUD: create, list, rotate, revoke (+ Turnstile)
│ ├── antifraud.py # Anti-fraud: Turnstile, device fingerprints, risk scoring
│ ├── email_utils.py # Email normalization + disposable email detection
│ ├── dns_client.py # DNS-based domain availability checking via Unbound
│ ├── queries.py # PostgreSQL queries: usage tracking, auth, billing
│ ├── valkey_client.py # Redis/Valkey job queue client (RQ-backed)
│ ├── rq_tasks.py # RQ task function: process_domain_job()
│ ├── worker.py # RQ worker process (ThreadPoolExecutor per job)
│ ├── migrations/ # SQL migrations
│ │ └── 001_free_tier_antifraud.sql
│ └── requirements.txt # Python dependencies
├── portal/ # Developer portal (Zuplo + Zudoku)
│ ├── config/
│ │ ├── routes.oas.json # OpenAPI 3.1 spec (public API documentation)
│ │ └── policies.json # Zuplo policies (empty — all routing is direct)
│ ├── docs/ # Zudoku documentation portal
│ │ ├── src/
│ │ │ ├── config.ts # API_BASE, Turnstile site key, Stripe PK
│ │ │ ├── UsageDashboard.tsx # Usage + billing dashboard component
│ │ │ ├── PricingPage.tsx # Plan selection + Stripe checkout
│ │ │ ├── PricingPlans.tsx # Pricing card grid component
│ │ │ └── CardSetupPage.tsx # Stripe Elements card-on-file for Free+
│ │ ├── public/ # Static assets (logos, banners, CSS overrides)
│ │ ├── zudoku.config.tsx # Portal config: theme, nav, Auth0, API key mgmt
│ │ └── package.json # Frontend dependencies (React 19, Zudoku)
│ ├── package.json # Workspace root (Zuplo v6, TypeScript v5)
│ └── README.md # Zuplo boilerplate (not project-specific)
├── mcp-server/ # MCP package for ChatGPT, Claude, and remote MCP clients
│ ├── pyproject.toml # MCP package metadata + version
│ ├── server.json # MCP registry/server metadata
│ ├── uv.lock # Locked MCP runtime dependencies
│ └── src/canyougrab_mcp/
│ ├── __init__.py
│ └── server.py # stdio + streamable-http MCP entrypoint
├── .github/workflows/
│ ├── deploy.yml # Production deploy (on tag push v*)
│ └── deploy-dev.yml # Dev deploy (on push to dev branch)
├── .claude/
│ └── launch.json # Local dev server config (port 9200)
└── package.json # Root workspace configAPI Endpoints
Public API (API key auth: Authorization: Bearer cyg_...)
Method | Path | Description |
|
| Check up to 100 domains. Long-polls until results ready (30s max). |
|
| Usage summary for the authenticated consumer. |
|
| Lightweight monthly + per-minute quota check. |
|
| Health check (no auth). |
Portal API (Auth0 JWT auth)
Method | Path | Description |
|
| Create new API key. |
|
| List user's API keys. |
|
| Rotate key (revoke old, create new). |
|
| Revoke (soft-delete) a key. |
|
| Create Stripe Checkout session. |
|
| Create Stripe Customer Portal session. |
|
| Create SetupIntent for Free+ card-on-file. |
|
| Verify card fingerprint and upgrade to Free+. |
|
| Check if user has a card on file. |
|
| Per-key usage breakdown for portal dashboard. |
|
| Verify Cloudflare Turnstile token. |
|
| Register device fingerprint (Fingerprint Pro). |
|
| Get risk assessment for authenticated user. |
|
| Run multi-signal risk assessment at signup. |
Internal / Webhook
Method | Path | Description |
|
| Multi-consumer usage breakdown. |
|
| Stripe webhook receiver (signature-verified). |
Core Request Flow
Domain Availability Check
Client FastAPI Valkey Worker Unbound
│ │ │ │ │
│ POST /api/check/bulk │ │ │ │
│ { domains: [...] } │ │ │ │
│─────────────────────────▶│ │ │ │
│ │── validate key ──────────│ │ │
│ │── check minute rate ────▶│ INCR ratelimit:id:min │ │
│ │── check monthly quota ──▶│ (PostgreSQL) │ │
│ │── record usage ─────────▶│ (PostgreSQL) │ │
│ │── create_job() ─────────▶│ HSET job:{uuid} │ │
│ │ │ RQ enqueue (with retry) │ │
│ │ │ │ │
│ │ │◀── RQ Worker dequeues ───│ │
│ │ │ │ │
│ │ │──── claim_job() ────────▶│ │
│ │ │ │── ThreadPool(10) │
│ │ │ │── check_domain_dns()
│ │ │ │── NS query ───────▶│
│ │ │ │◀── NOERROR/NXDOMAIN│
│ │ │◀── complete_job() ───────│ │
│ │ │ │ │
│ │◀─ poll get_job_status() ─│ │ │
│ │ (0.3s interval, 30s │ │ │
│ │ max timeout) │ │ │
│◀─────────────────────────│ │ │ │
│ { results: [...] } │ │ │ │Billing / Subscription Flow
User → Pricing Page → Select Plan → Auth0 login
→ POST /api/billing/checkout (JWT auth)
→ Find/create Stripe customer (linked by auth0_sub metadata)
→ Stripe Checkout Session created → redirect to Stripe
→ User pays → Stripe fires webhook
→ POST /api/stripe/webhook (HMAC-SHA256 verified)
→ checkout.session.completed → fetch subscription → get price ID
→ Map price to plan → UPDATE api_keys SET plan, lookups_limitSubscription Plans
Plan | Monthly Lookups | Per-Minute Rate Limit | Domains/Request | Price |
Free | 500 | 30/min | 30 | $0 |
Free+ | 10,000 | 100/min | 100 | $0 (card on file) |
Basic | 20,000 | 300/min | 100 | $10/mo |
Pro | 50,000 | 1,000/min | 100 | $20/mo |
Business | 300,000 | 3,000/min | 100 | $30/mo |
Authentication
API Key Auth (public API consumers)
Format:
Authorization: Bearer cyg_<token>Keys are SHA-256 hashed in the
api_keystable (plaintext never stored)Key prefix (
cyg_XXXXXXXX...) is stored for display in the portalFull key returned only once at creation time
Soft-delete on revocation (
revoked_attimestamp, not physically deleted)
JWT Auth (portal/dashboard)
Auth0 tenant:
dev-mqe5tavp6dr62e7uCustom domain:
auth.canyougrab.itAlgorithm: RS256 with JWKS validation (1-hour cache)
Audience:
https://api.canyougrab.itSocial logins: Google, Apple (Sign in with Apple)
Domain Availability via DNS
Domain availability is checked by querying a dedicated Unbound recursive DNS resolver running on a separate DigitalOcean droplet. The worker sends NS record queries over the VPC private network and interprets the response:
DNS Response |
| Meaning |
NOERROR + NS records |
| Domain is registered and delegated |
NXDOMAIN |
| Domain not in zone — probably available |
NoAnswer (NOERROR, no NS) |
| Registered but parked/undelegated |
SERVFAIL / Timeout |
| Ambiguous — check failed |
The Unbound resolver caches aggressively (7 days for registered domains, 5 minutes for NXDOMAIN) and queries TLD authoritative servers directly, avoiding public resolver rate limits.
Database Schema
PostgreSQL is used for authentication, usage tracking, and billing — not for domain lookups.
PostgreSQL Tables
Table | Purpose | Key Columns |
| User API keys |
|
| Daily usage aggregates |
|
| Per-minute usage aggregates |
|
| One free account per card |
|
| Device-based multi-account detection |
|
| Composite risk scoring |
|
Valkey (Redis) Data Structures
Key Pattern | Type | Purpose | TTL |
| Hash | Job status, domains, results | 1 hour |
| List | RQ job queue (managed by RQ) | — |
| Hash | RQ job metadata (retries, status) | Configurable |
| String | Per-minute rate limit counter (INCR) | 60s |
Infrastructure
Servers
Environment | Domain | Purpose |
Production |
| FastAPI + Worker |
Dev |
| FastAPI + Worker |
Portal |
| Zudoku static site |
Auth |
| Auth0 custom domain |
External Services
Service | Purpose |
DigitalOcean | Droplets (API servers, Unbound resolver), Managed PostgreSQL, Managed Valkey |
Cloudflare | DNS, CDN, SSL for canyougrab.it zone, Turnstile bot prevention |
Auth0 | User authentication, social login (Google + Apple), JWT issuance |
Stripe | Subscription billing, checkout, customer portal, webhooks |
GitHub Actions | CI/CD deployment pipelines |
Deployment Pipelines
Production Deploy
Trigger: Push a git tag matching v* (e.g., v1.0.5)
git tag v1.0.5 && git push origin v1.0.5Pipeline (.github/workflows/deploy.yml):
GitHub Actions triggers on
v*tag pushSSH into production server (
DEPLOY_HOSTsecret) usingDEPLOY_SSH_KEYBootstraps the target ref on the server (
git fetch+git checkout <tag>)Runs the repo-managed deploy script:
/opt/canyougrab-repo/scripts/deploy-host.sh
Dev Deploy
Trigger: Push to the dev branch
git push origin devPipeline (.github/workflows/deploy-dev.yml):
GitHub Actions triggers on push to
devSSH into dev server (
DEV_DEPLOY_HOSTsecret) using sameDEPLOY_SSH_KEYBootstraps the
devref on the server (git fetch+git checkout dev)Runs the repo-managed deploy script:
/opt/canyougrab-repo/scripts/deploy-host.sh
Repo-Managed Host Deploy Script
Both pipelines use a small inline SSH bootstrap to update /opt/canyougrab-repo to the target ref, then call scripts/deploy-host.sh from that checked-out revision. The repo-managed deploy script handles:
pip install -r requirements.txtfor backend dependenciesrsyncof backend, portal, and MCP source trees into their runtime directoriesReinstall or refresh the
mcp-serverpackage/runtime when the host also runscanyougrab-mcp.serviceRestart of FastAPI (uvicorn), worker, and MCP services via systemd
If /mcp is served by the same host as the API, backend-only deploys are not enough. The MCP service must be updated and restarted during the same deploy or the OAuth metadata and live MCP behavior can drift apart.
An existing /opt/deploy.sh can still be kept as a manual compatibility shim if desired, but the automated pipeline should treat the repo copy of scripts/deploy-host.sh as the source of truth.
Branching Strategy
Branch | Purpose | Deploys To |
| Production releases | Tagged → |
| Development/staging | Auto → |
Feature branches | In-progress work | No auto-deploy |
Environment Variables
Backend (required on servers)
# DNS Resolver (Unbound on dedicated droplet)
DNS_RESOLVER_HOSTNAME=unbound.canyougrab.internal # VPC internal hostname (resolved via socket.gethostbyname)
DNS_RESOLVER_PORT=53
DNS_QUERY_TIMEOUT=5.0 # Per-query timeout in seconds
# PostgreSQL (DigitalOcean Managed Database — auth, usage, billing only)
POSTGRES_HOST= # DB cluster hostname
POSTGRES_PORT=5432
POSTGRES_DB=canyougrab
POSTGRES_USER=canyougrab
POSTGRES_PASSWORD= # DB password
POSTGRES_SSLMODE=require
# Valkey / Redis (DigitalOcean Managed Database)
VALKEY_HOST= # Valkey cluster hostname
VALKEY_PORT=25061
VALKEY_USERNAME=default
VALKEY_PASSWORD= # Valkey password
# Auth0
AUTH0_DOMAIN=dev-mqe5tavp6dr62e7u.us.auth0.com
AUTH0_AUDIENCE=https://api.canyougrab.it
# Stripe
STRIPE_SECRET_KEY= # sk_live_... (prod) or sk_test_... (dev)
STRIPE_WEBHOOK_SECRET= # whsec_... (per-environment)
STRIPE_PRICE_BASIC= # price_... (live price ID for Basic plan)
STRIPE_PRICE_PRO= # price_... (live price ID for Pro plan)
STRIPE_PRICE_BUSINESS= # price_... (live price ID for Business plan)
# Cloudflare Turnstile (bot prevention on key creation)
TURNSTILE_SECRET_KEY= # 0x4AAAA... (from Cloudflare dashboard)
# Portal
PORTAL_URL=https://portal.canyougrab.it
# Worker
BATCH_CONCURRENCY=10 # Thread pool size for domain checks
VALKEY_QUEUE_NAME=canyougrab-jobs # RQ queue name (default: canyougrab-jobs)
# Monitoring (optional — only if monitoring stack is installed)
SLACK_ALERTS_WEBHOOK_URL= # Slack incoming webhook for Alertmanager
RQ_METRICS_PORT=9122 # Prometheus metrics exporter port
# Auto-scaler (optional — only on API host with autoscaler enabled)
DO_API_TOKEN= # DigitalOcean API token
DO_WORKER_SNAPSHOT_ID= # Snapshot ID for new worker droplets
AUTOSCALER_MIN_WORKERS=1
AUTOSCALER_MAX_WORKERS=5
AUTOSCALER_SCALE_UP_THRESHOLD=50
AUTOSCALER_SCALE_DOWN_IDLE_MINUTES=10GitHub Actions Secrets
Secret | Purpose |
| Production server IP |
| Dev server IP |
| SSH private key for both servers |
Local Development
Backend
cd backend
pip install -r requirements.txt
# Start API server
uvicorn app:app --reload --port 8000
# Start worker (separate terminal)
python worker.pyRequires DNS_RESOLVER_HOST pointing to an Unbound instance (or use 8.8.8.8 for basic testing), plus PostgreSQL and Valkey/Redis (local or tunneled to managed instances).
Portal
cd portal/docs
npm install
npm run dev # Starts Zudoku dev server (via zuplo)Or use the configured launch server:
# From repo root
npx zuplo dev # Starts on port 9200Portal dev server hardcodes API_BASE to https://api.canyougrab.it in portal/docs/src/config.ts. To develop against a local backend, change this to http://localhost:8000.
SEO: .it TLD Geo-Targeting Requirements
Because canyougrab.it uses a .it country-code TLD (Italy), all user-facing HTML (portal, docs) must include signals that the content targets English speakers:
<html lang="en">on every page.Hreflang tags in
<head>:<link rel="alternate" hreflang="en-US" href="{page_url}" /> <link rel="alternate" hreflang="en" href="{page_url}" /> <link rel="alternate" hreflang="x-default" href="{page_url}" />Canonical tag — Self-referencing
<link rel="canonical" href="{page_url}" />.All content in English — No Italian text on any page.
This applies to the portal (portal.canyougrab.it), API docs, and any other publicly rendered HTML.
Key Design Decisions
Live DNS lookups: Domain availability is checked via NS queries to a dedicated Unbound recursive resolver. This gives real-time results (no 24-hour zone file lag), works for any TLD automatically, and avoids the operational complexity of daily batch zone file loading. Unbound caches aggressively (7 days for registered domains) so repeated queries are ~1ms.
Nullable availability: DNS has more failure modes than a database lookup. When Unbound returns SERVFAIL or times out, the API returns
available: nullinstead of a potentially dangerous false positive. Consumers should treatnullas "could not determine."Job queue for bulk checks: The bulk endpoint uses RQ (Redis Queue) backed by Valkey to dispatch jobs with automatic retries (2 retries, 5s/30s backoff) and failed-job tracking. Workers parallelize DNS queries across a thread pool.
Long-polling: The bulk check endpoint holds the HTTP connection open (polling Valkey every 0.3s, up to 45s) rather than requiring clients to implement polling. Job results are stored in custom Valkey hashes (not RQ's built-in result storage) so the poll logic is independent of the queue framework.
API keys with SHA-256 hashing: Keys are hashed before storage (like passwords), so a database breach doesn't expose raw keys.
Stripe metadata linking: Stripe customers are linked to Auth0 users via
auth0_submetadata on the Stripe customer object, avoiding a separate mapping table.Usage double-tracking: Both daily (
usage_log_daily) and per-minute (usage_log_minute) usage are recorded for monthly quota and per-minute rate limiting respectively.No Zuplo gateway policies: The project originally used Zuplo as an API gateway but migrated to direct FastAPI (commit
3abef70). The Zuplo portal/docs framework is still used for the developer portal.
Processes on Servers
Core services (every host)
FastAPI (uvicorn): Serves all HTTP endpoints on port 8000
RQ Worker (worker.py): Processes domain check jobs from the RQ queue
MCP server (if
/mcpis hosted on this server): Serves remote MCP clients
Monitoring stack (API host, optional)
Prometheus (localhost:9090): Scrapes metrics, evaluates alert rules
Alertmanager (localhost:9093): Routes alerts to Slack
redis_exporter (localhost:9121): Exports Valkey metrics to Prometheus
RQ metrics exporter (localhost:9122): Exports queue depth, worker count, failed jobs
Grafana (localhost:3000, nginx-proxied): Dashboards for queue health
Auto-scaler (optional): Scales worker droplets up/down via DO API
Install the monitoring stack with: sudo bash scripts/setup-monitoring.sh
All active services on the host must be managed via systemd and restarted during deployments.
All automated deploys should route through scripts/deploy-host.sh, which is responsible for restarting whichever of these services are installed on the host.
Available Tools
3 toolscheck_domainsCheck Domain AvailabilityARead-onlyIdempotentInspect
Use this when the user wants to know whether one or more domains are available to register. Returns confidence, source, cache age, and ambiguous results when the lookup cannot be determined safely.
| Name | Required | Description | Default |
|---|---|---|---|
| domains | Yes |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already indicate readOnly, idempotent, openWorld. Description adds value by detailing return fields (confidence, source, cache age) and handling of ambiguous results, which is beyond what annotations provide. No contradiction with annotations.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Two concise sentences front-load the purpose and usage, then add behavioral details. Every sentence is necessary and no redundancy.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given one required parameter and no output schema, the description covers purpose, return content, and edge cases (ambiguous lookups). However, it lacks details on domain format validation or limits, and the 0% schema coverage means the description could have provided more parameter guidance.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 0%, so description should compensate; it mentions 'one or more domains' but does not specify format (e.g., full domain names) or constraints. The parameter is simple (array of strings), so the minimal gain is acceptable, but no added detail.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool checks domain availability, specifies the user intent ('when the user wants to know'), and distinguishes from siblings (check_usage, get_domain_info) by focusing on availability and return details like confidence and cache age.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Explicitly says when to use ('when the user wants to know whether one or more domains are available to register'), but does not mention when not to use or provide explicit alternatives. However, sibling names imply differentiation.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
check_usageCheck API UsageARead-onlyIdempotentInspect
Use this when the user wants to see their CanYouGrab.it plan, usage, and remaining quota for the current billing period.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already provide readOnlyHint, destructiveHint, and idempotentHint. The description adds valuable context about the time scope ('current billing period') and the specific data returned (plan, usage, quota), going beyond the annotations.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, front-loaded sentence that conveys all necessary information without any fluff. Every word earns its place.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a tool with no parameters and no output schema, the description is fully complete. It tells the agent exactly what the tool does and when to use it, leaving no ambiguity.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
There are no parameters, so schema coverage is 100%. The description does not need to add parameter semantics. Baseline of 4 is appropriate as it adds no extra but is not deficient.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool's purpose: to see plan, usage, and remaining quota. The verb 'check' is specific, and the resource is explicitly the CanYouGrab.it account. It naturally distinguishes from sibling tools (check_domains, get_domain_info) which are domain-focused.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description explicitly states when to use the tool ('when the user wants to see...'), providing clear context. It does not mention when not to use it or suggest alternatives, but given the sibling tools are for different domains, exclusion is not necessary.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
get_domain_infoDomain Information LookupARead-onlyIdempotentInspect
Use this when the user wants WHOIS or registration information about a specific domain — such as who owns it, when it was registered, when it expires, or what nameservers it uses.
| Name | Required | Description | Default |
|---|---|---|---|
| domain | Yes |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare read-only, non-destructive, idempotent. Description adds specific return details (owner, expiry, nameservers). No contradictions.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Single, well-structured sentence front-loading the usage intent. No unnecessary words.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Covers purpose, return data, and context. Missing details like output format or caching, but acceptable for a simple lookup tool.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema has 0% description coverage for the 'domain' parameter. Description only says 'specific domain' without format, examples, or constraints. Insufficient compensation.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
Clearly states that the tool fetches WHOIS/registration information for a domain, listing specific data points (owner, registration, expiry, nameservers). Distinguishes from siblings by focusing on domain info.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Explicitly says when to use (user wants WHOIS/registration info). Does not exclude alternatives but context from sibling names implies differentiation.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections. Dates show when Glama detected each change.
3 tool updates
v1.1.1- First observed
check_domains - First observed
check_usage - First observed
get_domain_info
TDQS
Each tool has a clearly distinct purpose: check_domains for availability, check_usage for user quota, and get_domain_info for WHOIS details. No overlap in functionality.
All tools follow a consistent verb_noun pattern with underscores (check_domains, check_usage, get_domain_info), making them predictable and easy to understand.
With only 3 tools, the server is well-scoped for its purpose of checking domain availability and info. No tool feels redundant or missing for basic usage.
The tools cover core functionality: availability checking, usage tracking, and domain info. However, lacking a registration tool is a minor gap given the server's name implies grabbing domains.
Maintenance
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
Related MCP Connectors
Check domain name availability via RDAP. Single, bulk, and smart suggestions. No API key needed.
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61Domain availability search, WHOIS lookup, TLD pricing and registry rules from name.ai. Read-only.
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