Keyword Research MCP
Retrieves and normalizes Google Ads keyword-planning data, such as keyword ideas and competition metrics, using the Google Ads API.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Keyword Research MCPShow me keyword ideas and competition for 'eco-friendly shoes'."
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Keyword Research MCP
Keyword Research MCP is a lightweight local MCP server for retrieving and normalizing Google Ads keyword-planning evidence. It is under active development; the current repository contains the executable project foundation plus the typed, tested research interface and production Google Ads adapter. MCP tool registration described in the implementation plan is still being built.
Paid Competition in Google Ads describes advertiser activity. This project does not present it as organic ranking difficulty and does not calculate a composite keyword score.
Requirements
Python 3.10 through 3.14
Google Ads credentials are not needed for tests. They are required when the production adapter connects to Google Ads.
Related MCP server: Google Ads MCP Server
Google Ads configuration
The production adapter uses google-ads==31.2.0 and explicitly selects Google
Ads API v25. Configure exactly one target customer and one authentication
method. Customer IDs may contain hyphens; they are normalized in memory.
For user OAuth, set:
export GOOGLE_ADS_DEVELOPER_TOKEN="developer-token-placeholder"
export GOOGLE_ADS_CUSTOMER_ID="123-456-7890"
export GOOGLE_ADS_LOGIN_CUSTOMER_ID="987-654-3210" # optional manager account
export GOOGLE_ADS_CLIENT_ID="client-id-placeholder"
export GOOGLE_ADS_CLIENT_SECRET="client-secret-placeholder"
export GOOGLE_ADS_REFRESH_TOKEN="refresh-token-placeholder"For a service account, omit the three user-OAuth settings and set:
export GOOGLE_ADS_DEVELOPER_TOKEN="developer-token-placeholder"
export GOOGLE_ADS_CUSTOMER_ID="123-456-7890"
export GOOGLE_ADS_JSON_KEY_FILE_PATH="/path/to/service-account.json"
export GOOGLE_ADS_IMPERSONATED_EMAIL="ads-user@example.test" # optionalAlternatively, point GOOGLE_ADS_CONFIGURATION_FILE_PATH at a local
google-ads.yaml:
developer_token: developer-token-placeholder
customer_id: "123-456-7890"
login_customer_id: "987-654-3210"
client_id: client-id-placeholder
client_secret: client-secret-placeholder
refresh_token: refresh-token-placeholderOptional process settings are KEYWORD_RESEARCH_CACHE_CAPACITY (default 128)
and KEYWORD_RESEARCH_LOG_LEVEL (default INFO). Credential files,
google-ads.yaml, and .env files are ignored by Git.
Set up and run
uv sync
uv run keyword-research-mcpThe command runs over stdio, so it waits silently for an MCP client and writes
protocol messages only to standard output.
Development
Run the same quality gate used in CI:
uv run ruff format --check .
uv run ruff check .
uv run pyright
uv run pytest
uv buildSee the implementation plan for the intended tool contracts, architecture, delivery phases, and product boundaries.
License
MIT
Maintenance
Resources
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