Lets agents translate PowerPoint files with Amazon Bedrock models, usable as a command-line tool or MCP server.
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 ppt-translator --env AWS_PROFILE='<AWS_PROFILE>' --env AWS_REGION='<AWS_REGION>' --env BEDROCK_MODEL_ID='<BEDROCK_MODEL_ID>' -- uv run python server.py --mcp~/.codex/config.toml
[mcp_servers.ppt-translator]
command = "uv"
args = ["run", "python", "server.py", "--mcp"]
env = { AWS_PROFILE = "<AWS_PROFILE>", AWS_REGION = "<AWS_REGION>", BEDROCK_MODEL_ID = "<BEDROCK_MODEL_ID>" }
# codex mcp add ppt-translator --env AWS_PROFILE='<AWS_PROFILE>' --env AWS_REGION='<AWS_REGION>' --env BEDROCK_MODEL_ID='<BEDROCK_MODEL_ID>' -- uv run python server.py --mcp~/.cursor/mcp.json
{
"mcpServers": {
"ppt-translator": {
"command": "uv",
"args": [
"run",
"python",
"server.py",
"--mcp"
],
"env": {
"AWS_PROFILE": "<AWS_PROFILE>",
"AWS_REGION": "<AWS_REGION>",
"BEDROCK_MODEL_ID": "<BEDROCK_MODEL_ID>"
}
}
}
}.vscode/mcp.json
{
"servers": {
"ppt-translator": {
"type": "stdio",
"command": "uv",
"args": [
"run",
"python",
"server.py",
"--mcp"
],
"env": {
"AWS_PROFILE": "<AWS_PROFILE>",
"AWS_REGION": "<AWS_REGION>",
"BEDROCK_MODEL_ID": "<BEDROCK_MODEL_ID>"
}
}
}
}~/.gemini/settings.json
{
"mcpServers": {
"ppt-translator": {
"command": "uv",
"args": [
"run",
"python",
"server.py",
"--mcp"
],
"env": {
"AWS_PROFILE": "<AWS_PROFILE>",
"AWS_REGION": "<AWS_REGION>",
"BEDROCK_MODEL_ID": "<BEDROCK_MODEL_ID>"
}
}
}
}claude_desktop_config.json
{
"mcpServers": {
"ppt-translator": {
"command": "uv",
"args": [
"run",
"python",
"server.py",
"--mcp"
],
"env": {
"AWS_PROFILE": "<AWS_PROFILE>",
"AWS_REGION": "<AWS_REGION>",
"BEDROCK_MODEL_ID": "<BEDROCK_MODEL_ID>"
}
}
}
}.trae/mcp.json
{
"mcpServers": {
"ppt-translator": {
"command": "uv",
"args": [
"run",
"python",
"server.py",
"--mcp"
],
"env": {
"AWS_PROFILE": "<AWS_PROFILE>",
"AWS_REGION": "<AWS_REGION>",
"BEDROCK_MODEL_ID": "<BEDROCK_MODEL_ID>"
}
}
}
}需要的环境变量
AWS_PROFILEAWS_REGIONBEDROCK_MODEL_ID
把占位值换成你自己的密钥；不要把密钥提交到代码仓库。