mcp-walmart-ads 0.1.0a4

MCP server for Walmart Connect Ads APIs (Sponsored Search + Display)

Walmart Connect Advertising APIs

MCP server for Walmart Connect Ads APIs — Sponsored Search and Display.

Exposes a single generic tool (walmart_ads_api) that acts as an authenticated proxy: 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

1. Create the config directory and copy the example

mkdir -p ~/.config/mcp-walmart-ads/keys
cp config.example.json ~/.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

Tool: walmart_ads_api

Parameters shown in the client UI for user approval before execution:

Parameter	Required	Description
region	yes	e.g. US
env	yes	production or staging
ad_type	yes	search or display
method	yes	GET, POST, PUT, DELETE
path	yes	e.g. /api/v1/campaigns
params	no	Query string parameters (JSON object)
body	no	JSON request body (for POST/PUT)

API reference docs (MCP resources)

The server bundles API reference docs the agent can read to learn endpoint schemas:

Resource URI	Description
wmc://docs/search/campaigns	Sponsored Search campaigns
wmc://docs/search/ad-groups	Sponsored Search ad groups
wmc://docs/search/keywords	Sponsored Search keywords
wmc://docs/search/snapshot-reports	Sponsored Search snapshot reports
wmc://docs/display/campaigns	Display campaigns
wmc://docs/display/snapshot-reports	Display snapshot reports

Truncated API responses are cached in memory and accessible via wmc://responses/{request_id}.

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.