Context7
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Description from the maker (original English)
eBay Browse API MCP server — buy-side listing search and price intelligence.
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We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
EBAY_ENV, EBAY_PRD_APP_ID, EBAY_PRD_CERT_ID, EBAY_SBX_APP_ID, EBAY_SBX_CERT_IDValues marked secret are keys to your account. Never share them or paste them into a chat.
You need
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Pick your app above. We remember it, so next time the button says “Install in …”.
Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"ebay": {
"command": "uvx",
"args": [
"ebay-mcp"
],
"env": {
"EBAY_ENV": "your-value",
"EBAY_PRD_APP_ID": "your-value",
"EBAY_PRD_CERT_ID": "your-value",
"EBAY_SBX_APP_ID": "your-value",
"EBAY_SBX_CERT_ID": "your-value"
}
}
}
}Run this in your terminal
claude mcp add ebay --env EBAY_ENV=your-value --env EBAY_PRD_APP_ID=your-value --env EBAY_PRD_CERT_ID=your-value --env EBAY_SBX_APP_ID=your-value --env EBAY_SBX_CERT_ID=your-value -- uvx ebay-mcpFill in the empty values before running it.
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"ebay": {
"command": "uvx",
"args": [
"ebay-mcp"
],
"env": {
"EBAY_ENV": "your-value",
"EBAY_PRD_APP_ID": "your-value",
"EBAY_PRD_CERT_ID": "your-value",
"EBAY_SBX_APP_ID": "your-value",
"EBAY_SBX_CERT_ID": "your-value"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"ebay": {
"type": "stdio",
"command": "uvx",
"args": [
"ebay-mcp"
],
"env": {
"EBAY_ENV": "your-value",
"EBAY_PRD_APP_ID": "your-value",
"EBAY_PRD_CERT_ID": "your-value",
"EBAY_SBX_APP_ID": "your-value",
"EBAY_SBX_CERT_ID": "your-value"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
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EBAY_ENV envThese settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Runs on your computer; the tool list appears in your AI app after you install it.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 6, 2026
The registry name was verified with the GitHub account cunicopia-dev, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
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It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
You need to fill in: EBAY_PRD_APP_ID, EBAY_PRD_CERT_ID, EBAY_SBX_APP_ID, EBAY_SBX_CERT_ID
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
The GitHub repo last changed –, and the latest version (0.1.0) reached the registry 4 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.
In the same category: Context7, Codebase Memory, Exa
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Give an AI agent real, live market prices — straight from the largest secondhand marketplace on the internet.
eBay is a continuously-updating ledger of what physical things actually cost right now. This wraps its Browse API as an MCP server with three tools, so an agent can search listings, pull a single item, and — the useful one — get an aggregated price landscape for anything: min, median, max, broken down by condition.
Python 3.12+ · MIT · MCP server · app-token auth, no user login
Setup is one free eBay app keyset — no user login, no OAuth consent screen to click through. Point an agent at it and ask "what does an RTX 5080 actually go for?" — one call back comes a grounded answer, split by condition, with the cheapest listings attached.
ebay_price_check: how the landscape is built| Tool | What it does |
|---|---|
| `ebay_price_check` | Aggregated price landscape for a query — count, min/median/max, a breakdown by condition, and the cheapest listings. The headline tool. |
| `ebay_search` | Listing search with sorting and filtering — returns clean {itemId, title, price, condition, seller, itemWebUrl} rows. |
| `ebay_get_item` | Full detail for one item by ID. |
// ebay_price_check · query: "RTX 5080", exclude: ["laptop", "notebook"]
{ "count": 47, "currency": "USD", "min": 899, "median": 1099, "max": 2200, "by_condition": { "New": { "count": 18, "min": 1099, "median": 1199, "max": 1634 }, "Used": { "count": 21, "min": 899, "median": 1050, "max": 1499 } }, "cheapest": [ { "price": 899, "condition": "Used", "title": "…", "itemWebUrl": "…" } ] }
Every tool flows through a single EbayBrowseClient, which owns the token and talks to eBay. There's one place credentials are read, one place a token is cached, one place HTTP happens — nothing to drift.
flowchart LR
Agent(["AI agent / Claude"]) subgraph server["ebay-mcp · stdio server"] Tools["ebay_search ebay_get_item ebay_price_check"] Client["EbayBrowseClient"] Cache[("OAuth token in-memory, auto-refresh")] end Cfg["~/.ebay-mcp.toml or env vars"] eBay["eBay Browse API"]
Agent -->|"MCP tool call"| Tools Tools -->|"search / get_item"| Client Client <-->|"reuse or mint token"| Cache Client -->|"Bearer token + query"| eBay eBay -->|"listings JSON"| Client Cfg -.->|"keyset + active env"| Client
The server is async; the client is plain synchronous requests, run in a thread (asyncio.to_thread) so a slow eBay call never blocks the event loop. ebay_price_check is the one tool that does more than pass through — it runs a search and then aggregates the result (see below).
eBay's Browse API uses an application token (the OAuth client-credentials grant) — no user is involved. The client mints one on first use, caches it in memory, and silently refreshes when it's about to expire. You never think about it.
sequenceDiagram
participant T as Tool call participant C as EbayBrowseClient participant O as eBay OAuth participant B as Browse API
T->>C: search("RTX 5080") alt token missing or expired C->>O: POST /identity/v1/oauth2/token Basic(app_id:cert_id), grant=client_credentials O-->>C: access_token + expires_in Note over C: cache until (expires_in − 60s) end C->>B: GET /item_summary/search Authorization: Bearer … B-->>C: listings JSON C-->>T: parsed results
The 60-second buffer means a token is treated as expired slightly early, so a call never races a token that dies mid-flight. Tokens live ~2 hours; in practice one fetch covers a long session.
ebay_price_check: how the landscape is builtThe other two tools are thin wrappers. This one is the reason the project exists: it turns a pile of raw listings into a number you can reason about.
flowchart LR
Q["query
(up to 50 listings)"] S --> F["drop excluded titles
min · median · max"] G --> H["cheapest N (the tail)"] A --> R(["{ count, min, median, max, by_condition, cheapest }"]) H --> R
exclude is what makes the number honest — a search for "RTX 5080" is full of laptops and prebuilt PCs, and exclude: ["laptop", "notebook", "prebuilt"] strips them so the median reflects the actual card. The by_condition split matters just as much: a "median" that blends new-in-box with used-and-abused is noise; split by condition and each tier tells the truth.
One honest limitation worth knowing: the Browse API returns **active asking
prices**, not completed sales. Treat the floor as "best currently advertised,"
not "what it sold for."
git clone https://github.com/cunicopia-dev/ebay-mcp
cd ebay-mcp python3.12 -m venv .venv && source .venv/bin/activate pip install -e .
You need a (free) eBay developer application keyset — see docs/SETUP.md for the five-minute walkthrough. Then wire it into your MCP client:
{
"mcpServers": { "ebay": { "command": "/path/to/ebay-mcp/.venv/bin/ebay-mcp" } } }
Credentials come from environment variables (highest priority) or a `~/.ebay-mcp.toml` file. The active env selects the keyset *and* the API base URL together — so production creds can never accidentally point at the sandbox, or vice versa.
flowchart TD
Start(["load_config()"]) --> Env{"EBAY_ENV / EBAY_*_APP_ID in environment?"} Env -->|"set"| UseEnv["take keyset from env vars"] Env -->|"unset"| Toml{"~/.ebay-mcp.toml present?"} Toml -->|"yes"| UseToml["take keyset from TOML"] Toml -->|"no"| Default["default env = production (error if creds missing)"] UseEnv --> Pick["env → keyset + base URL (locked together)"] UseToml --> Pick Default --> Pick
# ~/.ebay-mcp.toml (chmod 600)
env = "production"
[production] app_id = "YourApp-PRD-..." cert_id = "PRD-..."
[sandbox] app_id = "YourApp-SBX-..." cert_id = "SBX-..."
Check what's active any time — credentials are masked in the output:
ebay-mcp-config
Flip env between sandbox and production to switch environments — same code, different endpoints and keyset. The sandbox is good for proving the auth flow wires up; its inventory is sparse and seeded, so for real prices you want a production keyset.
src/ebay_mcp/
config.py # env + TOML loader; ebay-mcp-config CLI browse.py # EbayBrowseClient — OAuth cache + search / get_item server.py # MCP server: list_tools / call_tool / main tests/ # config precedence, aggregation, tool listing (no network) docs/SETUP.md # getting an eBay keyset
MIT