MCP tools and Claude Code workflows for video analysis, cited research, document extraction, knowledge storage, and optional explainer video production.
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 video-research --env GEMINI_API_KEY='<GEMINI_API_KEY>' -- uvx video-research-mcp~/.codex/config.toml
[mcp_servers.video-research]
command = "uvx"
args = ["video-research-mcp"]
env = { GEMINI_API_KEY = "<GEMINI_API_KEY>" }
# codex mcp add video-research --env GEMINI_API_KEY='<GEMINI_API_KEY>' -- uvx video-research-mcp~/.cursor/mcp.json
{
"mcpServers": {
"video-research": {
"command": "uvx",
"args": [
"video-research-mcp"
],
"env": {
"GEMINI_API_KEY": "<GEMINI_API_KEY>"
}
}
}
}.vscode/mcp.json
{
"servers": {
"video-research": {
"type": "stdio",
"command": "uvx",
"args": [
"video-research-mcp"
],
"env": {
"GEMINI_API_KEY": "<GEMINI_API_KEY>"
}
}
}
}~/.gemini/settings.json
{
"mcpServers": {
"video-research": {
"command": "uvx",
"args": [
"video-research-mcp"
],
"env": {
"GEMINI_API_KEY": "<GEMINI_API_KEY>"
}
}
}
}claude_desktop_config.json
{
"mcpServers": {
"video-research": {
"command": "uvx",
"args": [
"video-research-mcp"
],
"env": {
"GEMINI_API_KEY": "<GEMINI_API_KEY>"
}
}
}
}.trae/mcp.json
{
"mcpServers": {
"video-research": {
"command": "uvx",
"args": [
"video-research-mcp"
],
"env": {
"GEMINI_API_KEY": "<GEMINI_API_KEY>"
}
}
}
}需要的环境变量
GEMINI_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。