mcpField
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LatAm Fintech Synthetic Data

LatAm Fintech Synthetic Data

Remote
github.com/jmendozapucheFinance
Repository

About LatAm Fintech Synthetic Data

LatAm Fintech Synthetic Data generates synthetic financial users, savings goals, and transactions calibrated to aggregate data from Latin America. It is for fintech testing, demos, and ML experiments, with reproducible output and no records copied from real users.

Key features

  1. 01Generate linked users, goals, and transactions
  2. 02Filter datasets by country
  3. 03Reproducible generation with a seed
  4. 04Python, CLI, REST, Apify Actor, and MCP access
  5. 05Synthetic data without copied user records

Use cases

  1. 01Create fintech testing fixtures
  2. 02Prepare realistic data for demos and POCs
  3. 03Bootstrap ML and data-pipeline experiments
  4. 04Generate datasets for agent evaluation

MCP support

Provides two MCP paths: a local stdio server and an Apify-hosted server using Streamable HTTP. Tools generate financial datasets and describe the dataset schema and available countries; no MCP Resources or Prompts are exposed.

Configuration

Remote servers need no local install. Pick your client, then copy the config or install in one click.

Endpointhttps://mcp.apify.com?tools=active_yardstick/latam-synth
Copy install command
Claude CodeTerminal
Cursor.cursor/mcp.json
VS Code.vscode/mcp.json
Claude Desktopclaude_desktop_config.json
Windsurf~/.codeium/windsurf/mcp_config.json

Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.

Tools

Details

The maintainer has not added details yet. Check the README in the repository.

Comments

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