Consults large-context models via OpenRouter, OpenAI or Google AI to analyze large codebases and document collections.
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 consult7 --env PROVIDER='<PROVIDER>' --env API_KEY='<API_KEY>' -- uvx consult7 '{{config.PROVIDER}}' '{{config.API_KEY}}'~/.codex/config.toml
[mcp_servers.consult7]
command = "uvx"
args = ["consult7", "{{config.PROVIDER}}", "{{config.API_KEY}}"]
env = { PROVIDER = "<PROVIDER>", API_KEY = "<API_KEY>" }
# codex mcp add consult7 --env PROVIDER='<PROVIDER>' --env API_KEY='<API_KEY>' -- uvx consult7 '{{config.PROVIDER}}' '{{config.API_KEY}}'~/.cursor/mcp.json
{
"mcpServers": {
"consult7": {
"command": "uvx",
"args": [
"consult7",
"{{config.PROVIDER}}",
"{{config.API_KEY}}"
],
"env": {
"PROVIDER": "<PROVIDER>",
"API_KEY": "<API_KEY>"
}
}
}
}.vscode/mcp.json
{
"servers": {
"consult7": {
"type": "stdio",
"command": "uvx",
"args": [
"consult7",
"{{config.PROVIDER}}",
"{{config.API_KEY}}"
],
"env": {
"PROVIDER": "<PROVIDER>",
"API_KEY": "<API_KEY>"
}
}
}
}~/.gemini/settings.json
{
"mcpServers": {
"consult7": {
"command": "uvx",
"args": [
"consult7",
"{{config.PROVIDER}}",
"{{config.API_KEY}}"
],
"env": {
"PROVIDER": "<PROVIDER>",
"API_KEY": "<API_KEY>"
}
}
}
}claude_desktop_config.json
{
"mcpServers": {
"consult7": {
"command": "uvx",
"args": [
"consult7",
"{{config.PROVIDER}}",
"{{config.API_KEY}}"
],
"env": {
"PROVIDER": "<PROVIDER>",
"API_KEY": "<API_KEY>"
}
}
}
}.trae/mcp.json
{
"mcpServers": {
"consult7": {
"command": "uvx",
"args": [
"consult7",
"{{config.PROVIDER}}",
"{{config.API_KEY}}"
],
"env": {
"PROVIDER": "<PROVIDER>",
"API_KEY": "<API_KEY>"
}
}
}
}需要的环境变量
PROVIDERAPI_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。