Scorecard MCP Server on Cloudflare
LocalAbout Scorecard MCP Server on Cloudflare
Scorecard’s remote MCP server connects its AI evaluation platform to natural-language conversations, for workflows that test, measure, and improve AI systems.
Key features
- 01Create AI evaluation projects
- 02Set up test cases
- 03Configure accuracy and helpfulness metrics
- 04Run model evaluations
- 05View evaluation results
Use cases
- 01Create an evaluation project for a chatbot
- 02Build test cases for customer service scenarios
- 03Measure model accuracy and helpfulness
- 04Review evaluation results for a recent model
MCP support
The remote MCP server is available at https://mcp.scorecard.io/mcp and exposes Scorecard’s AI evaluation platform to MCP clients, using OAuth 2.0 authentication.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMEScorecard remote MCP server
Connect Claude to Scorecard's AI evaluation platform through natural language conversations. Test, measure, and improve your AI systems without switching between tools.
Installation
Add the Scorecard MCP server's remote URL https://mcp.scorecard.io/mcp to your MCP client, e.g. Claude or Cursor.
See the full setup instructions for more info and local installation configuration.
Technical Architecture
This remote MCP server implements the latest version of the Model Context Protocol server specification. It is built with:
- Clerk for authentication, implementing the OAuth 2.0 Protected Resource Metadata specification for secure, standards-compliant authentication flows.
- Stainless for auto-generated, type-safe MCP endpoints that stay in sync with the API specification.
- Sentry for production-grade monitoring, error tracking, and performance insights.
What You Can Do
Ask Claude to help with AI evaluation tasks:
- "Create a new project for evaluating my chatbot"
- "Set up test cases for customer service scenarios"
- "Configure accuracy and helpfulness metrics"
- "Run an evaluation against my latest model"
- "Show me the performance results"
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.