mcp-walmart-ads
MCP server for Walmart Connect Ads (Sponsored Search + Display) — automatic RSA-SHA256 signing, multi-region config, and bundled API docs.
Walmart Connect Advertising APIs
MCP server for Walmart Connect Ads APIs — Sponsored Search and Display.
Exposes two tools — a generic API proxy (walmart_ads_api) and a display-snapshot downloader (walmart_ads_download_display_snapshot). The AI agent decides which endpoint to call; the server handles RSA-SHA256 signing and auth headers automatically.
Features
- One tool, any endpoint — no code changes needed when APIs evolve
- Supports both Sponsored Search and Display API families
- Multi-region, multi-environment (production + staging) via config file
- Per-request RSA-SHA256 signing with automatic header construction
- Large responses truncated with full data available via MCP resource URI
- Bundled API reference docs served as MCP resources so the agent knows endpoint schemas
Requirements
- Python 3.13+
- Walmart Connect Partner Network credentials (consumer ID, RSA key pair, bearer token)
Quick start
Set up your config (see Configuration), then run the server:
# Run directly with uvx (no clone needed)
npx -y @modelcontextprotocol/inspector uvx mcp-walmart-ads
# Or run from source
git clone https://github.com/alyiox/mcp-walmart-ads.git
cd mcp-walmart-ads
uv sync
npx -y @modelcontextprotocol/inspector uv run mcp-walmart-ads
Configuration
The config file lives under your home directory at ~/.config/mcp-walmart-ads/config.json.
Windows note:
~maps to%USERPROFILE%(typicallyC:\Users\<you>), so the full path is%USERPROFILE%\.config\mcp-walmart-ads\config.json.
1. Create the config directory and copy the example
# Unix-like (macOS, Linux, WSL, …)
mkdir -p ~/.config/mcp-walmart-ads/keys/us
cp config.example.json ~/.config/mcp-walmart-ads/config.json
# Windows (PowerShell)
New-Item -ItemType Directory -Force "$env:USERPROFILE\.config\mcp-walmart-ads\keys\us"
Copy-Item config.example.json "$env:USERPROFILE\.config\mcp-walmart-ads\config.json"
2. Edit ~/.config/mcp-walmart-ads/config.json
{
"response_cache_ttl": 3600,
"truncate_threshold": 51200,
"regions": {
"US": {
"production": {
"consumer_id": "your-consumer-id",
"private_key": "./keys/us/prod.pem",
"private_key_version": "1",
"bearer_token": "your-bearer-token",
"base_urls": {
"search": "https://developer.api.walmart.com/api-proxy/service/WPA/Api/v1",
"display": "https://developer.api.walmart.com/api-proxy/service/display/api/v1"
}
},
"staging": {
"consumer_id": "your-staging-consumer-id",
"private_key": "./keys/us/staging.pem",
"private_key_version": "1",
"bearer_token": "your-staging-bearer-token",
"base_urls": {
"search": "https://developer.api.stg.walmart.com/api-proxy/service/WPA/Api/v1",
"display": "https://developer.api.us.stg.walmart.com/api-proxy/service/display/api/v1"
}
}
}
}
}
3. Place your RSA private key PEM files in ~/.config/mcp-walmart-ads/keys/
Key paths in the config are resolved relative to the config directory, so ./keys/us/prod.pem resolves to ~/.config/mcp-walmart-ads/keys/us/prod.pem.
| Config field | Description |
|---|---|
response_cache_ttl | Seconds to keep truncated responses in memory (default 3600) |
truncate_threshold | Response byte limit before truncation (default 51200) |
regions.<R>.<E>.consumer_id | Your Walmart Connect consumer ID |
regions.<R>.<E>.private_key | Path to RSA private key PEM (relative to config dir or absolute) |
regions.<R>.<E>.private_key_version | Key version string (default "1") |
regions.<R>.<E>.bearer_token | OAuth bearer token |
regions.<R>.<E>.base_urls.search | Sponsored Search API base URL |
regions.<R>.<E>.base_urls.display | Display API base URL |
Tools
walmart_ads_api
Execute any Walmart Connect Ads API endpoint. The agent picks the method and path; the server handles RSA-SHA256 signing.
| Parameter | Required | Description |
|---|---|---|
region | yes | e.g. US |
env | yes | production or staging |
ad_type | yes | search or display |
method | yes | GET, POST, PUT, or DELETE |
path | yes | e.g. /api/v1/campaigns |
params | no | Query string parameters (JSON object) |
body | no | JSON request body for POST/PUT (object or array) |
walmart_ads_download_display_snapshot
Download a display snapshot file (report or entity). Display snapshot URLs require authenticated requests, so this tool handles the signing automatically. Use it with the snapshot ID from the details field after polling a display snapshot to done status.
| Parameter | Required | Description |
|---|---|---|
region | yes | e.g. US |
env | yes | production or staging |
snapshot_id | yes | Snapshot ID from the details URL |
advertiser_id | yes | Advertiser ID used when creating the snapshot |
MCP resources
API reference docs
The server bundles API reference docs as MCP resources so the agent can read endpoint schemas on demand. One resource per endpoint group, following the URI pattern wmc://docs/{ad_type}/{group} — for example wmc://docs/search/campaigns or wmc://docs/display/audiences.
The full list is generated from the markdown files in src/mcp_walmart_ads/docs/. Current groups:
| Search | Display |
|---|---|
| campaigns | campaigns |
| ad-groups | ad-groups |
| ad-items | targeting |
| keywords | audiences |
| placements | itemsets |
| bid-multipliers | itemset-campaign-association |
| sponsored-brands | catalog |
| sponsored-videos | forecast |
| catalog-item-search | creative |
| snapshot-reports | creative-associations |
| top-search-trends | video |
| advanced-insights | folder |
| stats | snapshot-reports |
| audit-snapshot | stats |
| brand-landing-page |
Dynamic resources
| Resource URI | Description |
|---|---|
wmc://config | Available regions, environments, and ad types from your config |
wmc://responses/{request_id} | Full body of a truncated API response (cached in memory, TTL from config) |
wmc://curl/{request_id} | Reproducible cURL command for a previous API request |
MCP host examples
Cursor
Add to .cursor/mcp.json:
{
"mcpServers": {
"walmart-ads": {
"command": "uvx",
"args": ["mcp-walmart-ads"]
}
}
}
Claude Code
Add to your Claude Code MCP config:
{
"mcpServers": {
"walmart-ads": {
"command": "uvx",
"args": ["mcp-walmart-ads"]
}
}
}
Codex
[mcp_servers.walmart-ads]
command = "uvx"
args = ["mcp-walmart-ads"]
OpenCode
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"walmart-ads": {
"type": "local",
"enabled": true,
"command": ["uvx", "mcp-walmart-ads"]
}
}
}
GitHub Copilot
{
"inputs": [],
"servers": {
"walmart-ads": {
"type": "stdio",
"command": "uvx",
"args": ["mcp-walmart-ads"]
}
}
}
Development
uv sync --group dev # install deps
uv run pytest # run tests
uv run ruff check . # lint
uv run ruff format . # format
uv run pyright # type check
Contributing
Open issues or PRs. Follow existing style and add tests where appropriate.
License
MIT. See LICENSE.
Servidores relacionados
Markdown to PDF
Convert Markdown files to high-quality, print-ready PDFs using LaTeX.
AISecretary
A collection of MCP servers to automate virtual secretary tasks within the Microsoft Outlook suite, managing tools like Mail and Categories.
Jira Weekly Reporter
Connects to a Jira instance to generate weekly reports based on issue activity.
CognitiveCompass MCP
A cognitive framework selector to help choose the right mental models and thinking frameworks for any situation.
ffl-mcp
Give AI a "send file" capability via P2P (Local-first)
Anki MCP Server
Integrate AI assistants with Anki, the popular spaced repetition flashcard software.
Apple MCP tools
Integrate with Apple's native apps like Contacts, Notes, Messages, and Mail.
suitecrm-mcp
MCP gateway for SuiteCRM : SSE transport, 13 tools, single and multi-entity install with systemd + nginx
Rememberizer
Interact with Rememberizer's document and knowledge management API to search, retrieve, and manage documents.
Vault MCP
An Obsidian plugin that embeds an MCP server to interact with your notes using AI.