This MCP server allows AI assistants to interact with the Scorecard REST API, enabling exploration of endpoints, making test requests, and integrating the SDK into applications.
From the registry: MCP server providing access to the Scorecard API to evaluate and optimize LLM systems.
Please install the `mcp-scorecardai` MCP server into my current AI client (that's you).
Required prerequisites (do these first if not already done):
- **Scorecard API key** — Obtain a Scorecard API key (https://docs.scorecard.io/)
Canonical MCP server config (stdio transport):
- command: `npx`
- args: ["-y","scorecard-ai-mcp"]
- required environment variables:
- `SCORECARD_API_KEY`: Scorecard API key (example: `<your-scorecard-api-key>`)
Note: The README is primarily for the scorecard-ai SDK; the MCP server is published as `scorecard-ai-mcp` on npm and is auto-generated by Stainless.
Add this MCP server to my current client's config in the correct format for you. If you need secrets or credentials I haven't provided, ASK me — do not invent values or leave raw placeholders. After adding it, tell me how to verify the server is connected.SCORECARD_API_KEYrequiredAPI key for authenticating requests to the Scorecard API.SCORECARD_LOGLog level configuration for debugging.Meta Ads MCP (Facebook + Instagram) - analyze performance, manage budgets, pause campaigns.