What You Can Do
With the MCP server, you can ask your assistant to:- Launch evaluations: “Run the billing test set against my support agent”
- Inspect results: “Show my latest unsuccessful runs and explain what failed”
- Manage agents: “Create a chat agent for the staging endpoint”
- Build test coverage: “Create a test set for refund and cancellation scenarios”
- Consult Sofia: “Ask Sofia what I should test next based on my recent runs”
consult_sofia adds Sofia’s Coval product
knowledge and evaluation expertise while remaining read-only.
Quick Start
1
Install the Coval connector
Install Coval from the ChatGPT or Claude connector directory. For Codex and other MCP clients,
add
https://mcp.coval.dev/mcp as a remote MCP server.2
Sign in and select an organization
Your browser opens Coval’s authorization flow. Sign in, select the Coval organization you want
to use, and approve access.
3
Start using Coval
Ask your assistant: “List my Coval agents” or “Ask Sofia to review my latest failed run.”
Available Tools
The hosted MCP server exposes 19 tools across 7 categories:Tools Reference
See complete parameter documentation for all tools
Access and Safety
- OAuth access is limited to the organization selected during consent.
- Read and write operations are exposed as separate tools with explicit annotations.
consult_sofiacan inspect resources and recommend actions, but cannot create, update, run, or delete resources.- To monitor and improve Sofia, Coval records the
prompt, any optionalconversationmessages explicitly passed toconsult_sofia, and Sofia’s response. The connector does not automatically receive unrelated messages from the surrounding assistant session. Do not send secrets or credentials in consultation content. - You can disconnect the connector from ChatGPT, Claude, Codex, or another MCP client at any time.
Requirements
- An active Coval account with access to at least one organization
- ChatGPT, Claude, or an MCP client that supports remote Streamable HTTP and OAuth
- Node.js 20+ only when running the optional local server