About PicPay MCP
PicPay MCP connects PicPay accounts through Brazil’s Open Finance, so Claude, ChatGPT, and other AI clients can query account information. It covers balances, transactions, bills, investments, and loans, and can update transaction categories or revoke a connection; it cannot move money.
Key features
- 01Connect PicPay through Brazil’s Open Finance
- 02View balances, transactions, and card bills
- 03View investments and loans
- 04Sync bank connections
- 05Update transaction categories and disconnect
- 06Read account data; no money transfers
Use cases
- 01Check PicPay balances and spending
- 02Summarize credit card bills and payments
- 03Review investment holdings and transactions
- 04Check loan details or revoke a connection
MCP support
The MCP server provides compatible clients with tools for accounts, transactions, credit cards, investments, and loans. It also supports updating transaction categories and revoking connections; money transfers are not available.
Configuration
Remote servers need no local install. Pick your client, then copy the config or install in one click.
https://api.mcp.ai/p_picpayclaude mcp add --transport http dir-picpay https://api.mcp.ai/p_picpay{"mcpServers":{"dir-picpay":{"type":"http","url":"https://api.mcp.ai/p_picpay"}}}Open in Cursor{"servers":{"dir-picpay":{"type":"http","url":"https://api.mcp.ai/p_picpay"}}}Open in VS Code{"mcpServers":{"dir-picpay":{"type":"http","url":"https://api.mcp.ai/p_picpay"}}}{"mcpServers":{"dir-picpay":{"serverUrl":"https://api.mcp.ai/p_picpay"}}}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
25| Parameter | Type | Required | Description |
|---|---|---|---|
| keywords | array | No | |
| include_accounts | boolean | No |
Details
The maintainer has not added details yet. Check the README in the repository.
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.