Integration Examples
Three end-to-end examples that cover the most common integration patterns with Owning.pro. Each example includes curl, TypeScript, and Python implementations.
| # | Example | Auth | Tools / Endpoints |
|---|---|---|---|
| 1 | Search & Evaluate | None (public) | GET /api/listings, GET /api/listings/:id.md |
| 2 | Publish a Listing | API key (write) | POST /api/api-keys, POST /api/upload, POST /api/listings, POST /api/listings/:id/publish |
| 3 | Use MCP Server | API key (optional) | search_listings, get_listing_markdown, create_listing, publish_listing |
| 4 | Track Analytics Events | None (public) | POST /api/track |
| 5 | Promote a Listing (Premium) | JWT (owner) | POST /api/listings/:id/premium, GET /api/listings/:id/premium-status *(planned)* |
Example 1: Search & Evaluate
Scenario: An AI agent searches for boats in a specific category, filters by price, retrieves the Markdown detail for the top result, and evaluates whether it's a good deal.
This example uses only public read endpoints. No API key or JWT is needed. Rate limit: 100 requests/minute per IP.
Flow
1. Search listings (category=boats, max_price=200000)
→ GET /api/listings?category=boats&max_price=200000&limit=10
2. Pick the first result
3. Get the Markdown detail
→ GET /api/listings/{slug}.md
4. Parse and evaluatecurl
# Step 1: Search for boats under 200k
curl -s "https://api.owning.pro/api/listings?category=boats&max_price=200000&limit=10" \
| jq '.results[0].slug'
# → "lagoon-400-s2-JP12QW"
# Step 2: Get the Markdown detail
curl -s "https://api.owning.pro/api/listings/lagoon-400-s2-JP12QW.md"
# → Returns Markdown with YAML frontmatter + structured sectionsTypeScript
// search-and-evaluate.ts
const API_BASE = "https://api.owning.pro";
async function searchAndEvaluate() {
// Step 1: Search for boats under 200k
const searchUrl = new URL(`${API_BASE}/api/listings`);
searchUrl.searchParams.set("category", "boats");
searchUrl.searchParams.set("max_price", "200000");
searchUrl.searchParams.set("limit", "10");
const searchRes = await fetch(searchUrl);
const searchData = await searchRes.json();
console.log(`Found ${searchData.pagination.total} listings`);
if (searchData.results.length === 0) {
console.log("No results found");
return;
}
// Step 2: Pick the first result
const topListing = searchData.results[0];
console.log(`Top result: ${topListing.title} — ${topListing.price.amount} ${topListing.price.currency}`);
// Step 3: Get the Markdown detail
const mdRes = await fetch(`${API_BASE}/api/listings/${topListing.slug}.md`);
const markdown = await mdRes.text();
// Step 4: Evaluate
console.log("\n--- Listing Detail (Markdown) ---\n");
console.log(markdown);
// Parse key info from the Markdown for evaluation
const priceMatch = markdown.match(/price:\s*(\d+)/);
const yearMatch = markdown.match(/Year.*?(\d{4})/);
const lengthMatch = markdown.match(/Length.*?([\d.]+)\s*m/);
const evaluation = {
title: topListing.title,
price: priceMatch ? parseInt(priceMatch[1]) : null,
year: yearMatch ? parseInt(yearMatch[1]) : null,
length: lengthMatch ? parseFloat(lengthMatch[1]) : null,
pricePerMeter: null as number | null,
};
if (evaluation.price && evaluation.length) {
evaluation.pricePerMeter = Math.round(evaluation.price / evaluation.length);
}
console.log("\n--- Evaluation ---");
console.log(JSON.stringify(evaluation, null, 2));
}
searchAndEvaluate().catch(console.error);Python
# search_and_evaluate.py
import requests
import re
import json
API_BASE = "https://api.owning.pro"
def search_and_evaluate():
# Step 1: Search for boats under 200k
params = {
"category": "boats",
"max_price": "200000",
"limit": "10",
}
resp = requests.get(f"{API_BASE}/api/listings", params=params)
data = resp.json()
print(f"Found {data['pagination']['total']} listings")
if not data["results"]:
print("No results found")
return
# Step 2: Pick the first result
top = data["results"][0]
print(f"Top result: {top['title']} — {top['price']['amount']} {top['price']['currency']}")
# Step 3: Get the Markdown detail
md_resp = requests.get(f"{API_BASE}/api/listings/{top['slug']}.md")
markdown = md_resp.text
# Step 4: Evaluate
print("\n--- Listing Detail (Markdown) ---\n")
print(markdown)
# Parse key info
price_match = re.search(r"price:\s*(\d+)", markdown)
year_match = re.search(r"Year.*?(\d{4})", markdown)
length_match = re.search(r"Length.*?([\d.]+)\s*m", markdown)
evaluation = {
"title": top["title"],
"price": int(price_match.group(1)) if price_match else None,
"year": int(year_match.group(1)) if year_match else None,
"length": float(length_match.group(1)) if length_match else None,
"price_per_meter": None,
}
if evaluation["price"] and evaluation["length"]:
evaluation["price_per_meter"] = round(evaluation["price"] / evaluation["length"])
print("\n--- Evaluation ---")
print(json.dumps(evaluation, indent=2))
if __name__ == "__main__":
search_and_evaluate()Example 2: Publish a Listing
Scenario: An agent registers an account, logs in, creates an API key with write permissions, uploads an image, creates a listing, and publishes it. This is the full end-to-end write flow.
This example requires a JWT token (from register/login) to create an API key, and then the API key for subsequent write operations. Rate limits: 10 listings/day, 50 image uploads/day.
Flow
1. Register an account → POST /api/auth/register
2. Login (get JWT) → POST /api/auth/login
3. Create an API key → POST /api/api-keys (JWT auth)
4. Upload an image → POST /api/upload (API key auth)
5. Create a listing → POST /api/listings (API key auth)
6. Publish the listing → POST /api/listings/:id/publish (API key auth)curl
# Step 1: Register
curl -s -X POST https://api.owning.pro/api/auth/register \
-H "Content-Type: application/json" \
-d '{"email":"agent@example.com","password":"SecurePass123!","name":"AI Agent"}'
# Step 2: Login (get JWT)
JWT=$(curl -s -X POST https://api.owning.pro/api/auth/login \
-H "Content-Type: application/json" \
-d '{"email":"agent@example.com","password":"SecurePass123!"}' \
| jq -r '.token')
# Step 3: Create an API key with write permission
API_KEY=$(curl -s -X POST https://api.owning.pro/api/api-keys \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $JWT" \
-d '{"name":"agent-key","permissions":["read","write"]}' \
| jq -r '.key')
echo "API Key: $API_KEY"
# Step 4: Upload an image
IMAGE_URL=$(curl -s -X POST https://api.owning.pro/api/upload \
-H "Authorization: Bearer $API_KEY" \
-F "file=@photo.jpg" \
| jq -r '.url')
# Step 5: Create a listing
LISTING_ID=$(curl -s -X POST https://api.owning.pro/api/listings \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $API_KEY" \
-d "{
\"title\": \"Apple iPhone 13 128GB Blue\",
\"description\": \"Apple iPhone 13 in blue, 128GB. Good condition, battery health 89%.\",
\"category_id\": \"electronics\",
\"condition\": \"good\",
\"price\": { \"amount\": 399, \"currency\": \"EUR\", \"negotiable\": true },
\"location\": { \"country\": \"ES\", \"city\": \"Madrid\", \"shipping\": true },
\"images\": [{ \"url\": \"$IMAGE_URL\" }],
\"tags\": [\"iphone\", \"apple\", \"smartphone\"]
}" \
| jq -r '.id')
echo "Listing ID: $LISTING_ID"
# Step 6: Publish the listing
curl -s -X POST "https://api.owning.pro/api/listings/$LISTING_ID/publish" \
-H "Authorization: Bearer $API_KEY"
# → { "id": "...", "status": "active", ... }TypeScript
// publish-listing.ts
const API_BASE = "https://api.owning.pro";
async function publishListing() {
// Step 1: Register
const regRes = await fetch(`${API_BASE}/api/auth/register`, {
method: "POST",
headers: { "Content-Type": "application/json" },
body: JSON.stringify({
email: "agent@example.com",
password: "SecurePass123!",
name: "AI Agent",
}),
});
// Ignore 409 (already registered) — proceed to login
// Step 2: Login
const loginRes = await fetch(`${API_BASE}/api/auth/login`, {
method: "POST",
headers: { "Content-Type": "application/json" },
body: JSON.stringify({
email: "agent@example.com",
password: "SecurePass123!",
}),
});
const { token: jwt } = await loginRes.json();
// Step 3: Create an API key
const keyRes = await fetch(`${API_BASE}/api/api-keys`, {
method: "POST",
headers: {
"Content-Type": "application/json",
Authorization: `Bearer ${jwt}`,
},
body: JSON.stringify({
name: "agent-key",
permissions: ["read", "write"],
}),
});
const { key: apiKey } = await keyRes.json();
console.log("API Key:", apiKey);
// Step 4: Upload an image
const formData = new FormData();
const imageBuffer = await fetch("https://example.com/photo.jpg").then((r) => r.blob());
formData.append("file", imageBuffer, "photo.jpg");
const uploadRes = await fetch(`${API_BASE}/api/upload`, {
method: "POST",
headers: { Authorization: `Bearer ${apiKey}` },
body: formData,
});
const { url: imageUrl } = await uploadRes.json();
console.log("Image URL:", imageUrl);
// Step 5: Create a listing
const createRes = await fetch(`${API_BASE}/api/listings`, {
method: "POST",
headers: {
"Content-Type": "application/json",
Authorization: `Bearer ${apiKey}`,
},
body: JSON.stringify({
title: "Apple iPhone 13 128GB Blue",
description: "Apple iPhone 13 in blue, 128GB. Good condition, battery health 89%.",
category_id: "electronics",
condition: "good",
price: { amount: 399, currency: "EUR", negotiable: true },
location: { country: "ES", city: "Madrid", shipping: true },
images: [{ url: imageUrl }],
tags: ["iphone", "apple", "smartphone"],
}),
});
const listing = await createRes.json();
console.log("Listing ID:", listing.id);
// Step 6: Publish
const pubRes = await fetch(`${API_BASE}/api/listings/${listing.id}/publish`, {
method: "POST",
headers: { Authorization: `Bearer ${apiKey}` },
});
const published = await pubRes.json();
console.log("Published:", published.status); // → "active"
}
publishListing().catch(console.error);Python
# publish_listing.py
import requests
API_BASE = "https://api.owning.pro"
def publish_listing():
# Step 1: Register
requests.post(f"{API_BASE}/api/auth/register", json={
"email": "agent@example.com",
"password": "SecurePass123!",
"name": "AI Agent",
})
# Ignore 409 (already registered)
# Step 2: Login
login_resp = requests.post(f"{API_BASE}/api/auth/login", json={
"email": "agent@example.com",
"password": "SecurePass123!",
})
jwt = login_resp.json()["token"]
# Step 3: Create an API key
key_resp = requests.post(f"{API_BASE}/api/api-keys", json={
"name": "agent-key",
"permissions": ["read", "write"],
}, headers={"Authorization": f"Bearer {jwt}"})
api_key = key_resp.json()["key"]
print(f"API Key: {api_key}")
auth_headers = {"Authorization": f"Bearer {api_key}"}
# Step 4: Upload an image
with open("photo.jpg", "rb") as f:
upload_resp = requests.post(
f"{API_BASE}/api/upload",
headers=auth_headers,
files={"file": ("photo.jpg", f, "image/jpeg")},
)
image_url = upload_resp.json()["url"]
print(f"Image URL: {image_url}")
# Step 5: Create a listing
create_resp = requests.post(f"{API_BASE}/api/listings", json={
"title": "Apple iPhone 13 128GB Blue",
"description": "Apple iPhone 13 in blue, 128GB. Good condition, battery health 89%.",
"category_id": "electronics",
"condition": "good",
"price": {"amount": 399, "currency": "EUR", "negotiable": True},
"location": {"country": "ES", "city": "Madrid", "shipping": True},
"images": [{"url": image_url}],
"tags": ["iphone", "apple", "smartphone"],
}, headers={**auth_headers, "Content-Type": "application/json"})
listing = create_resp.json()
print(f"Listing ID: {listing['id']}")
# Step 6: Publish
pub_resp = requests.post(
f"{API_BASE}/api/listings/{listing['id']}/publish",
headers=auth_headers,
)
published = pub_resp.json()
print(f"Published: {published['status']}") # → "active"
if __name__ == "__main__":
publish_listing()Example 3: Use MCP Server
Scenario: An agent connects to the Owning MCP server, lists available tools, searches for listings, retrieves one in Markdown format, creates a new listing, and publishes it — all through MCP tool calls instead of raw HTTP requests.
This example achieves the same goals as Examples 1 and 2, but through the MCP server's tool interface. The MCP server handles auth headers, URL construction, and response parsing internally.
Flow
1. Initialize MCP session → method: "initialize"
2. List available tools → method: "tools/list"
3. Search listings → tool: "search_listings"
4. Get Markdown detail → tool: "get_listing_markdown"
5. Create a listing → tool: "create_listing"
6. Publish the listing → tool: "publish_listing"curl
MCP_URL="https://mcp.owning.pro/mcp"
API_KEY="own_aBcD123eFgH456iJkL789mNoP012qRsT345uVwX678yZ"
# Step 1: Initialize
curl -s -X POST "$MCP_URL" \
-H "Content-Type: application/json" \
-d '{"jsonrpc":"2.0","id":1,"method":"initialize","params":{}}'
# Step 2: List tools
curl -s -X POST "$MCP_URL" \
-H "Content-Type: application/json" \
-d '{"jsonrpc":"2.0","id":2,"method":"tools/list","params":{}}'
# Step 3: Search listings
curl -s -X POST "$MCP_URL" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $API_KEY" \
-d '{
"jsonrpc":"2.0","id":3,"method":"tools/call",
"params":{"name":"search_listings","arguments":{
"query":"lagoon","category":"boats","limit":5
}}
}'
# Step 4: Get Markdown detail
curl -s -X POST "$MCP_URL" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $API_KEY" \
-d '{
"jsonrpc":"2.0","id":4,"method":"tools/call",
"params":{"name":"get_listing_markdown","arguments":{
"id_or_slug":"lagoon-400-s2-JP12QW"
}}
}'
# Step 5: Create a listing
curl -s -X POST "$MCP_URL" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $API_KEY" \
-d '{
"jsonrpc":"2.0","id":5,"method":"tools/call",
"params":{"name":"create_listing","arguments":{
"title":"Apple iPhone 13 128GB Blue",
"description":"Apple iPhone 13 in blue, 128GB. Good condition, battery health 89%.",
"category_id":"electronics",
"condition":"good",
"price":{"amount":399,"currency":"EUR","negotiable":true},
"location":{"country":"ES","city":"Madrid","shipping":true},
"tags":["iphone","apple","smartphone"]
}}
}'
# Step 6: Publish (use the listing ID from step 5)
curl -s -X POST "$MCP_URL" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $API_KEY" \
-d '{
"jsonrpc":"2.0","id":6,"method":"tools/call",
"params":{"name":"publish_listing","arguments":{
"id_or_slug":"apple-iphone-13-128gb-blue"
}}
}'TypeScript
// use-mcp-server.ts
const MCP_URL = "https://mcp.owning.pro/mcp";
const API_KEY = process.env.OWNING_API_KEY; // own_... format
let nextId = 1;
async function callMCP(method: string, params: Record<string, unknown> = {}) {
const res = await fetch(MCP_URL, {
method: "POST",
headers: {
"Content-Type": "application/json",
...(API_KEY ? { Authorization: `Bearer ${API_KEY}` } : {}),
},
body: JSON.stringify({
jsonrpc: "2.0",
id: nextId++,
method,
params,
}),
});
const data = await res.json();
if (data.error) throw new Error(data.error.message);
return data.result;
}
async function callTool(name: string, args: Record<string, unknown>) {
const result = await callMCP("tools/call", { name, arguments: args });
if (result.isError) {
throw new Error(result.content[0].text);
}
// Parse the text content as JSON if possible
const text = result.content[0].text;
try {
return JSON.parse(text);
} catch {
return text;
}
}
async function main() {
// Step 1: Initialize
const init = await callMCP("initialize", {});
console.log(`Connected to ${init.serverInfo.name} v${init.serverInfo.version}`);
// Step 2: List tools
const toolsList = await callMCP("tools/list", {});
console.log(`Available tools: ${toolsList.tools.map((t: any) => t.name).join(", ")}`);
// Step 3: Search listings
const searchResult = await callTool("search_listings", {
query: "lagoon",
category: "boats",
limit: 5,
});
console.log(`Found ${searchResult.results.length} listings`);
const topListing = searchResult.results[0];
console.log(`Top: ${topListing.title}`);
// Step 4: Get Markdown detail
const markdown = await callTool("get_listing_markdown", {
id_or_slug: topListing.slug,
});
console.log("\n--- Markdown ---");
console.log(typeof markdown === "string" ? markdown : JSON.stringify(markdown));
// Step 5: Create a listing (requires write API key)
if (!API_KEY) {
console.log("\nSkipping write operations — no API key set");
return;
}
const newListing = await callTool("create_listing", {
title: "Apple iPhone 13 128GB Blue",
description: "Apple iPhone 13 in blue, 128GB. Good condition, battery health 89%.",
category_id: "electronics",
condition: "good",
price: { amount: 399, currency: "EUR", negotiable: true },
location: { country: "ES", city: "Madrid", shipping: true },
tags: ["iphone", "apple", "smartphone"],
});
console.log(`Created listing: ${newListing.id}`);
// Step 6: Publish
const published = await callTool("publish_listing", {
id_or_slug: newListing.slug,
});
console.log(`Published: ${published.status}`);
}
main().catch(console.error);Python
# use_mcp_server.py
import requests
import json
import os
MCP_URL = "https://mcp.owning.pro/mcp"
API_KEY = os.environ.get("OWNING_API_KEY") # own_... format
_next_id = 1
def call_mcp(method, params=None):
global _next_id
headers = {"Content-Type": "application/json"}
if API_KEY:
headers["Authorization"] = f"Bearer {API_KEY}"
resp = requests.post(MCP_URL, headers=headers, json={
"jsonrpc": "2.0",
"id": _next_id,
"method": method,
"params": params or {},
})
_next_id += 1
data = resp.json()
if "error" in data:
raise Exception(data["error"]["message"])
return data["result"]
def call_tool(name, args):
result = call_mcp("tools/call", {"name": name, "arguments": args})
if result.get("isError"):
raise Exception(result["content"][0]["text"])
text = result["content"][0]["text"]
try:
return json.loads(text)
except json.JSONDecodeError:
return text
def main():
# Step 1: Initialize
init = call_mcp("initialize", {})
info = init["serverInfo"]
print(f"Connected to {info['name']} v{info['version']}")
# Step 2: List tools
tools_list = call_mcp("tools/list", {})
tool_names = [t["name"] for t in tools_list["tools"]]
print(f"Available tools: {', '.join(tool_names)}")
# Step 3: Search listings
search_result = call_tool("search_listings", {
"query": "lagoon",
"category": "boats",
"limit": 5,
})
print(f"Found {len(search_result['results'])} listings")
top = search_result["results"][0]
print(f"Top: {top['title']}")
# Step 4: Get Markdown detail
markdown = call_tool("get_listing_markdown", {
"id_or_slug": top["slug"],
})
print("\n--- Markdown ---")
if isinstance(markdown, str):
print(markdown)
else:
print(json.dumps(markdown, indent=2))
# Step 5: Create a listing (requires write API key)
if not API_KEY:
print("\nSkipping write operations — no API key set")
return
new_listing = call_tool("create_listing", {
"title": "Apple iPhone 13 128GB Blue",
"description": "Apple iPhone 13 in blue, 128GB. Good condition, battery health 89%.",
"category_id": "electronics",
"condition": "good",
"price": {"amount": 399, "currency": "EUR", "negotiable": True},
"location": {"country": "ES", "city": "Madrid", "shipping": True},
"tags": ["iphone", "apple", "smartphone"],
})
print(f"Created listing: {new_listing['id']}")
# Step 6: Publish
published = call_tool("publish_listing", {
"id_or_slug": new_listing["slug"],
})
print(f"Published: {published['status']}")
if __name__ == "__main__":
main()Example 4: Track Analytics Events
Scenario: A frontend application sends analytics events to Owning to track page views, searches, signups, and listing views. This endpoint is public and fire-and-forget — it always returns 202 Accepted.
Client IPs are hashed (SHA-256 + salt) before storage. Raw IPs are never persisted.
Valid event types
page_view— includepath,referrersignup— includeuser_idlisting_created— includeuser_id,listing_idsearch— includequery,results_countlisting_view— includelisting_id
curl
# Track a page view
curl -s -X POST https://api.owning.pro/api/track -H "Content-Type: application/json" -d '{"event":"page_view","path":"/listings/bavaria-s36-coupe","referrer":"https://google.com"}'
# → 202 {"ok":true}
# Track a search
curl -s -X POST https://api.owning.pro/api/track -H "Content-Type: application/json" -d '{"event":"search","query":"yacht","results_count":142,"path":"/listings?q=yacht"}'
# → 202 {"ok":true}TypeScript
// Fire-and-forget analytics tracking
function track(event: string, data: Record<string, unknown> = {}) {
fetch("https://api.owning.pro/api/track", {
method: "POST",
headers: { "Content-Type": "application/json" },
body: JSON.stringify({ event, ...data }),
}).catch(() => {}); // silently fail — best-effort
}
track("page_view", { path: window.location.pathname, referrer: document.referrer });
track("search", { query: "yacht", results_count: 142 });Python
import requests
def track(event: str, **data):
"""Send analytics event (fire-and-forget)."""
try:
requests.post("https://api.owning.pro/api/track",
json={"event": event, **data}, timeout=5)
except Exception:
pass # best-effort
track("page_view", path="/listings", referrer="https://google.com")
track("search", query="yacht", results_count=142)Example 5: Promote a Listing (Premium)
Scenario: A seller promotes their listing with a featured premium promotion via Stripe checkout, then checks the premium status.
DB schema for premium listings (premium_type, premium_until) is live. Stripe checkout and webhook endpoints are being scaffolded. Examples show the planned API surface.
Premium types
featured— top of search results and category pagesurgent— urgent badge and priority placement
curl (planned)
# Step 1: Initiate premium checkout (JWT — listing owner only)
curl -s -X POST https://api.owning.pro/api/listings/lst_01J.../premium -H "Authorization: Bearer <jwt>" -H "Content-Type: application/json" -d '{"premium_type":"featured","duration_days":7}'
# → 200 {"checkout_url":"https://checkout.stripe.com/c/pay/cs_...","session_id":"cs_...","premium_type":"featured","amount":499,"currency":"eur","duration_days":7}
# Step 2: Check premium status (public)
curl -s https://api.owning.pro/api/listings/lst_01J.../premium-status
# → 200 {"listing_id":"lst_01J...","premium_type":"featured","premium_until":"2026-07-18T18:00:00.000Z","is_active":true}TypeScript (planned)
async function promoteListing(listingId: string, jwt: string, premiumType: "featured" | "urgent", durationDays = 7) {
const res = await fetch(`https://api.owning.pro/api/listings/${listingId}/premium`, {
method: "POST",
headers: { "Authorization": `Bearer ${jwt}`, "Content-Type": "application/json" },
body: JSON.stringify({ premium_type: premiumType, duration_days: durationDays }),
});
const data = await res.json();
window.location.href = data.checkout_url; // redirect to Stripe
}
async function getPremiumStatus(listingId: string) {
const res = await fetch(`https://api.owning.pro/api/listings/${listingId}/premium-status`);
return res.json();
}Python (planned)
import requests
def promote_listing(listing_id: str, jwt: str, premium_type: str, duration_days: int = 7):
res = requests.post(f"https://api.owning.pro/api/listings/{listing_id}/premium",
headers={"Authorization": f"Bearer {jwt}", "Content-Type": "application/json"},
json={"premium_type": premium_type, "duration_days": duration_days})
return res.json()
def get_premium_status(listing_id: str):
res = requests.get(f"https://api.owning.pro/api/listings/{listing_id}/premium-status")
return res.json()Tips & Best Practices
Choosing between REST API and MCP Server
| Use REST API when… | Use MCP Server when… |
|---|---|
| You need fine-grained control over HTTP (custom headers, streaming, caching) | You're building an AI agent that uses an LLM to decide actions |
| You're integrating into an existing HTTP-based codebase | You want tool descriptions and typed parameters for the LLM |
| You need endpoints not covered by MCP tools (e.g. auth, schema) | You want simpler code without HTTP boilerplate |
| You're consuming the Markdown/JSON feeds directly | You're using a client that supports MCP natively (Claude Desktop, Cursor, etc.) |
Rate limit management
- Cache search results — if you're searching repeatedly, cache the results locally to avoid hitting rate limits.
- Use API keys for higher limits — authenticated requests get 300 req/min vs 100 req/min unauthenticated.
- Batch image uploads — you get 50 uploads/day. Upload all images for a listing before creating it.
- Handle 429 responses — check the Retry-After header and back off accordingly.
Security
- Never hardcode API keys — use environment variables or a secrets manager.
- Use minimal permissions — if you only need to read, create a read-only key.
- Rotate keys regularly — delete old keys and create new ones periodically.
- Use HTTPS only — all Owning endpoints are HTTPS. Never use HTTP.
Full endpoint documentation: API Reference
MCP tool details: MCP Server Quickstart