Bring Open Finance
to LlamaIndex
Create your Vinkius account to connect Brankas to LlamaIndex and start using all 8 AI tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code. No hosting, no server setup — just connect and start using.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the Brankas MCP Server?
Connect your Brankas Open Finance account to any AI agent and orchestrate your payments, payouts, and financial data workflows across Southeast Asia through natural conversation.
What you can do
- Direct Payments (Money-in) — Initiate checkout sessions to accept instant account-to-account payments and track transaction statuses.
- Disbursements (Money-out) — Send payouts automatically through inter-bank or intra-bank transfers and monitor their progress.
- Data Aggregation — Retrieve real-time bank account balances, transaction history (statements), and identity data from consented users.
How it works
- Subscribe to this server
- Enter your Brankas API Key and Environment (sandbox or production)
- Start managing your open finance operations from Claude, Cursor, or any MCP-compatible client
Built-in capabilities (8)
Create a new Direct payment checkout session
Retrieve linked bank account balances
Retrieve linked identity data
Retrieve linked bank statement data
Get status of a Direct payment transaction
Get status of a Disburse transfer
Initiate an inter-bank disbursement (payout)
Initiate an intra-bank disbursement (payout)
Why LlamaIndex?
LlamaIndex agents combine Brankas tool responses with indexed documents for comprehensive, grounded answers. Connect 8 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
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Data-first architecture: LlamaIndex agents combine Brankas tool responses with indexed documents for comprehensive, grounded answers
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Query pipeline framework lets you chain Brankas tool calls with transformations, filters, and re-rankers in a typed pipeline
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Multi-source reasoning: agents can query Brankas, a vector store, and a SQL database in a single turn and synthesize results
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Observability integrations show exactly what Brankas tools were called, what data was returned, and how it influenced the final answer
Brankas in LlamaIndex
Why run Brankas with Vinkius?
The Brankas connection runs on our fully managed, secure cloud infrastructure. We handle the hosting, maintenance, and security so you don't have to deal with servers or code. All 8 tools are ready to work instantly without any complex setup.
You stay in complete control of your data. Your AI only accesses the information you approve, keeping your sensitive passwords and private details completely safe. Plus, with automatic optimizations, your AI works faster and more efficiently.
* Every connection is hosted and maintained by Vinkius. We handle the security, updates, and infrastructure so you don't have to write code or manage servers. See our infrastructure
Over 4,000 integrations ready for AI agents
Explore a vast library of pre-built integrations, optimized and ready to deploy.
Connect securely in under 30 seconds
Generate tokens to authenticate and link external services in a single step.
Complete visibility into every agent action
Audit live requests, latency, success rates, and active security compliance policies.
Optimize spending and track token ROI
Analyze real-time token consumption and cost metrics detailed by connection.
Explore our live AI Agents Analytics dashboard to see it all working
This dashboard is included when you connect Brankas using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.
Brankas and 4,000+ other AI tools. No hosting, no code, ready to use.
Professionals who connect Brankas to LlamaIndex through Vinkius don't need to write code, manage servers, or worry about security. Everything is pre-configured, secure, and runs automatically in the background.
Raw MCP | Vinkius | |
|---|---|---|
| Ready-to-use MCPs | Find and configure each manually | 4,000+ MCPs ready to use |
| Connection Setup | Manual coding & server setup | 1-click instant connection |
| Server Hosting | You host it yourself (needs 24/7 uptime) | 100% hosted & managed by Vinkius |
| Security & Privacy | Stored in plaintext config files | Bank-grade encrypted vault |
| Activity Visibility | Blind execution (no logs or tracking) | Live dashboard with real-time logs |
| Cost Control | Runaway AI token spend risk | Automatic budget limits |
| Revoking Access | Must delete files or code to stop | 1-click disconnect button |
How Vinkius secures
Brankas for LlamaIndex
Every request between LlamaIndex and Brankas is protected by our secure gateway. We automatically keep your sensitive data private, prevent unauthorized access, and let you disconnect instantly at any time.
Frequently asked questions
Can I initiate a payout to a vendor's bank account?
Yes! Use the inter_bank_transfer or intra_bank_transfer action, providing the amount, currency, beneficiary account, and bank code. Your agent will trigger the Brankas Disburse API.
How do I check the status of a customer's direct payment?
Simply ask the agent to get_transaction and provide the Transaction ID. It will retrieve the latest status from Brankas (e.g., SUCCESS, FAILED, PENDING).
Does the integration allow fetching connected bank account balances?
Yes. If you have active user consents configured, use the get_balance tool to retrieve real-time available balances across the connected accounts.
How does LlamaIndex connect to MCP servers?
Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.
Can I combine MCP tools with vector stores?
Yes. LlamaIndex agents can query Brankas tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
Does LlamaIndex support async MCP calls?
Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.
BasicMCPClient not found
Install: pip install llama-index-tools-mcp
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