MCP Deep Research is a tool that allows you to search the web for information. It is built with the Model Context Protocol and the Tavily API.
接入配置
选择客户端，复制配置，再按项目文档补齐环境变量。
claude mcp add deep-research --env TAVILY_API_KEY='<TAVILY_API_KEY>' -- npx -y mcp-deep-research@latest~/.codex/config.toml
[mcp_servers.deep-research]
command = "npx"
args = ["-y", "mcp-deep-research@latest"]
env = { TAVILY_API_KEY = "<TAVILY_API_KEY>" }
# codex mcp add deep-research --env TAVILY_API_KEY='<TAVILY_API_KEY>' -- npx -y mcp-deep-research@latest~/.cursor/mcp.json
{
"mcpServers": {
"deep-research": {
"command": "npx",
"args": [
"-y",
"mcp-deep-research@latest"
],
"env": {
"TAVILY_API_KEY": "<TAVILY_API_KEY>"
}
}
}
}.vscode/mcp.json
{
"servers": {
"deep-research": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"mcp-deep-research@latest"
],
"env": {
"TAVILY_API_KEY": "<TAVILY_API_KEY>"
}
}
}
}~/.gemini/settings.json
{
"mcpServers": {
"deep-research": {
"command": "npx",
"args": [
"-y",
"mcp-deep-research@latest"
],
"env": {
"TAVILY_API_KEY": "<TAVILY_API_KEY>"
}
}
}
}claude_desktop_config.json
{
"mcpServers": {
"deep-research": {
"command": "npx",
"args": [
"-y",
"mcp-deep-research@latest"
],
"env": {
"TAVILY_API_KEY": "<TAVILY_API_KEY>"
}
}
}
}.trae/mcp.json
{
"mcpServers": {
"deep-research": {
"command": "npx",
"args": [
"-y",
"mcp-deep-research@latest"
],
"env": {
"TAVILY_API_KEY": "<TAVILY_API_KEY>"
}
}
}
}需要的环境变量
TAVILY_API_KEY
把占位值换成你自己的密钥；不要把密钥提交到代码仓库。