io.github.benseverndev-oss/goldenflow
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Publisher-provided title
GoldenFlow
Publisher-provided description
Standardize, reshape, and normalize messy data — CSV, Excel, Parquet, S3, databases.
Summary by lookupd
Lets an agent clean, reshape and normalize tabular data across CSV, Excel, Parquet, S3 and databases.
Install
Claude Code, remote (streamable-http)
claude mcp add --transport http goldenflow https://goldenflow-mcp-production.up.railway.app/mcp/
Claude Code, pypi package (stdio)
claude mcp add goldenflow -- uvx goldenflow
Codex, remote (streamable-http)
codex mcp add goldenflow --url https://goldenflow-mcp-production.up.railway.app/mcp/
Codex, pypi package (stdio)
codex mcp add goldenflow -- uvx goldenflow
Cursor, remote (streamable-http) → .cursor/mcp.json
{
"mcpServers": {
"goldenflow": {
"url": "https://goldenflow-mcp-production.up.railway.app/mcp/"
}
}
}Cursor, pypi package (stdio) → .cursor/mcp.json
{
"mcpServers": {
"goldenflow": {
"command": "uvx",
"args": [
"goldenflow"
]
}
}
}Other clients: docs. Or tell your agent: Set up lookupd for me: read https://lookupd.com/agent.md and follow it.
Details
- Version: 2.2.0
- Transports: streamable-http, stdio
- Uptime (7 days): 0%
- First indexed:
- Last seen in registry:
- Repository: https://github.com/benseverndev-oss/goldenflow
- Website: https://benseverndev-oss.github.io/goldenflow/
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