AI COMPANIES
Power AI agents with Open Finance
Understand financial context easily, verify identity and monitor your loan portfolio through user-consented open finance data.

Give your agents the full financial picture
Real accounts and real activity from banking, fiscal and employment sources, permissioned by the user, so your agent answers from records instead of assumptions.

Verify the person behind every account
Tie every automated action back to a real, consented account holder. Your customer gives consent and Belvo verifies their account or income instantly.

Turn your data into answers
Analyze your whole portfolio on the spot. Ask your agent a question about your data and get a real answer, built from what's actually in your portfolio, not a static report you have to go find.

Discover the MCPs
Pick the server that fits the job
Three specialized MCP servers, one place to start: faster integration, live access to verified financial data, and portfolio-wide analysis.
Integrate faster with AI assistance
Cut integration time from weeks to minutes. Your AI client reads our documentation, writes the code and debugs the errors itself.
-
The right endpoint and a working example, so it writes code that runs.
-
Free and open — no account needed. Works in Cursor, VS Code, Claude Code and Codex.
Scaffold a Belvo income verification call for a Mexican user and show me a sandbox response.
# requirements: belvo-python from belvo import Client c = Client(secret_id, secret_pw, "sandbox") r = c.Incomes.create(link="lnk_mx_a1c9…") # → 200 OK { monthly_income: 4500.00, employer_verified: true }
Access users' verified data
Decide on verified records instead of rough estimates. Your agent pulls banking, employment and fiscal data from plain-language questions.
-
Earnings and employer as filed at the source, plus categorized spending.
-
Every pull enforces user consent and leaves an audit trail.
How much did this user spend on Uber over the last year?
R$ 4.312,80 across 214 rides in the last 12 months.
| Quarter | Rides | Spend |
|---|---|---|
| Q3 2025 | 48 | R$ 962,40 |
| Q2 2025 | 57 | R$ 1.148,10 |
| Q1 2025 | 61 | R$ 1.284,60 |
Analyze your entire customer base
Move portfolio analysis into your AI client. Ask questions about your whole customer base in plain language.
-
How limits, exposure and income shifts spread across your base.
-
Aggregated figures only — never individual customer records.
Analyze the distribution of the credit card limits of my users.
Most limits sit between R$ 2k and R$ 5k. The distribution tails off steadily, with a small segment above R$ 10k.
CONNECT YOUR ACCOUNTS AND TEST IT LIVE
Test the Data Access MCP with our live demo. Connect your personal accounts and ask the AI plain-language questions. You experience the exact consent flow your users will navigate. Verify the data speed and evaluate the accuracy immediately.








