Clean Table
Normalize messy CSV into your schema; ambiguous values return as exceptions. $0.02 USDC via x402.
Should I use this
Quality & Safety
Findings (1)
- LOWTool 'mm_status' description lacks action verbin mm_status
Based on automated analysis of tool definitions and protocol compliance.
Context Cost
This is the approximate number of tokens consumed each time the server's tools are loaded into a model's context. Higher counts reduce the attention available for other tasks.
Install
One-Click Install
Add this to your `claude_desktop_config.json` file:
{
"mcpServers": {
"clean-table": {
"url": "https://money-machine.pradooskee.workers.dev/mcp"
}
}
}Remote endpoints
https://money-machine.pradooskee.workers.dev/mcpstreamable-httpWhat it can do
Tool inventory
Tools (2)
🟢mm_status
Free health/status: service status, version, environment, network, autonomy mode and the paid offer. No secrets.
Input Schema
{
"type": "object",
"properties": {}
}🟢clean_table(csv, fields, dedupeKey, dateOrder)
Use when you have a CSV or delimited table and already know which source column should become which output field — it conforms a file to a schema you state, and does not infer the schema for you. Normalise a delimited table to the fields you name: dates to ISO, money to numbers, text collapsed, optional deduplication. Anything that cannot be read with certainty is returned as an exception with a reason, never guessed. Every delivered cell is re-checked against its source token before the response is built. Deterministic: the same input always gives the same output. PAID: $0.02 USDC on Base mainnet, settled by Circle Gateway via x402 v2; call without payment to receive the PaymentRequired terms.
Input Schema
{
"type": "object",
"properties": {
"csv": {
"type": "string",
"minLength": 1,
"maxLength": 48000,
"description": "The delimited table, including its header row (1–48000 bytes, at most 2000 data rows)."
},
"fields": {
"minItems": 1,
"maxItems": 12,
"type": "array",
"items": {
"type": "object",
"properties": {
"field": {
"type": "string",
"minLength": 1,
"maxLength": 64,
"description": "Output field name."
},
"column": {
"type": "string",
"minLength": 1,
"maxLength": 128,
"description": "Source column header, matched case-insensitively."
},
"type": {
"type": "string",
"enum": [
"text",
"date",
"money",
"code"
],
"description": "What the value must become."
},
"required": {
"description": "A missing value sends the row to exceptions (default true).",
"type": "boolean"
}
},
"required": [
"field",
"column",
"type"
]
},
"description": "The agreed schema: which source column becomes which output field, and of what type."
},
"dedupeKey": {
"description": "Output field to deduplicate on. Omit for no deduplication.",
"type": "string",
"minLength": 1,
"maxLength": 64
},
"dateOrder": {
"description": "Your system's date order. The file's own proof always wins over this.",
"type": "string",
"enum": [
"DMY",
"MDY"
]
}
},
"required": [
"csv",
"fields"
],
"$schema": "http://json-schema.org/draft-07/schema#"
}Community
Evidence