Coval MCP Server
Enables AI assistants to interact with Coval's evaluation platform for launching and monitoring evaluation runs, managing agents and test sets, and retrieving evaluation metrics.
README
Coval MCP Server
The official Model Context Protocol server for Coval - the AI evaluation platform.
This MCP server allows AI assistants like Claude Desktop and Cursor to interact with Coval's evaluation APIs, enabling you to:
- Launch and monitor evaluation runs
- Manage AI agents and test sets
- Retrieve evaluation metrics and results
Installation
npx @covalai/mcp-server
Quick Start
Claude Desktop
Add to ~/Library/Application Support/Claude/claude_desktop_config.json:
{
"mcpServers": {
"coval": {
"command": "npx",
"args": ["-y", "@covalai/mcp-server"],
"env": {
"COVAL_API_KEY": "your_api_key_here"
}
}
}
}
Cursor
Add to .cursor/mcp.json in your project:
{
"mcpServers": {
"coval": {
"command": "npx",
"args": ["-y", "@covalai/mcp-server"],
"env": {
"COVAL_API_KEY": "your_api_key_here"
}
}
}
}
Remote Connection (Alternative)
{
"mcpServers": {
"coval": {
"command": "npx",
"args": [
"-y",
"mcp-remote",
"https://mcp.coval.dev/mcp",
"--header",
"X-API-KEY: ${COVAL_API_KEY}"
],
"env": {
"COVAL_API_KEY": "your_api_key_here"
}
}
}
}
Get your API key from app.coval.dev/settings
Available Tools
| Tool | Description |
|---|---|
list_agents |
List all agents in your workspace |
get_agent |
Get details of a specific agent |
list_runs |
List evaluation runs |
get_run |
Get details of a specific run |
create_run |
Start a new evaluation run |
list_test_sets |
List available test sets |
get_test_set |
Get test set details |
list_test_cases |
List test cases in a test set |
create_test_case |
Add a test case to a test set |
get_metrics |
Get metrics for a run |
list_personas |
List available personas |
Example Usage
Once connected, you can ask Claude things like:
"Show me my recent evaluation runs"
"List all my agents"
"Run an evaluation of my customer-support-agent against the billing-inquiries test set"
"What are the metrics for run abc123?"
Development
# Install dependencies
npm install
# Build
npm run build
# Test locally with MCP Inspector
npm run inspector
# Run tests
npm test
Environment Variables
| Variable | Required | Default | Description |
|---|---|---|---|
COVAL_API_KEY |
Yes | - | Your Coval API key |
COVAL_API_BASE_URL |
No | https://api.coval.dev/v1 |
API base URL |
LOG_LEVEL |
No | info |
Logging level |
Documentation
License
MIT
Support
推荐服务器
Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。