Connect Banrisul to AI for balances, statements, cards, and investments.
This MCP tool comes from an official registry, is open source, and has been updated recently, with no obvious high-risk red flags in the provided materials. However, it handles banking/open-finance data, executes code, and connects to a remote endpoint, so sensitive financial data may be involved and least-privilege use is recommended.
The materials state that no environment variables or API keys are required, but a tool that connects to a Banrisul account and accesses open-finance data will likely still rely on user banking authorization or session credentials in practice. The documentation does not explain the auth flow, token storage, or expiration behavior, so credential handling lacks transparency.
It is known to connect to the remote endpoint api.mcp.ai. Given the stated functions around balances, statements, cards, and investments, user financial data is likely transmitted through that endpoint; the materials do not clarify whether it is only a relay, whether it connects directly to bank APIs, or what the transmission and retention boundaries are.
System checks indicate that the tool executes code or launches a process, which is a standard MCP capability. The provided materials do not show requests for unusual system privileges or unrelated high-risk capabilities, so the main concern is routine isolation and least-privilege execution.
Based on the feature description, the target data includes account balances, statements/transactions, cards, and investment information, all of which are highly sensitive financial data. The materials do not describe local file read/write scope or whether write/transaction actions are supported; the main concern is the unclear visibility and authorization boundary for financial data.
Positive signals include distribution via an official registry, open-source availability, and updates within the last year. Concerns remain because the README is effectively absent, no license is declared, and community adoption is very low (0 stars), which weakens auditability and ecosystem validation; however, these facts alone do not justify a high-risk rating.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "Banrisul MCP" MCP server from askskill: Run: claude mcp add --transport http 'io-github-mcp-dir-banrisul-mcp' 'https://api.mcp.ai/p_banrisul'
After connecting my Banrisul account, summarize my current available balance, income and expenses from the last 30 days, my cards, and investment accounts in a table.
A clear account overview table with balances, 30-day transaction summary, card list, and investment snapshot.
Read my Banrisul transactions for this month, automatically categorize them into dining, transport, shopping, bills, and more, and identify the top three expense categories.
A monthly spending analysis with category totals, percentages, and the highest expense areas.
Using my Banrisul balances, last 90 days of transactions, and investment changes, create a short cashflow brief and flag unusual movements that need attention.
A concise cashflow brief summarizing cash trends, investment changes, and unusual activity alerts.
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