AI

AI-native connectivity for financial systems

Agent-ready interfaces, structured financial data, and an MCP server so your AI tools can safely act on connected banks, ERPs, and treasury systems.

Active connections4 live
SAP ERP
payments · reconcile
HDFC Aggregator
14 accounts
Kyriba TMS
cash positions
Citi Direct
FX · sweeps
MCP server

Give your agents a safe way to act

Lynqx exposes a Model Context Protocol server so LLMs and agents can query balances, initiate payments, and reconcile — inside the same consent and audit guardrails as every other client.

  • Model Context Protocol, out of the box
  • Scoped tool permissions per agent
  • Every agent action fully attributable
Explore the MCP API
lynqx.ts
// Agents call tools through the Lynqx MCP server
const balances = await mcp.call("lynqx.balances.list", {
entity: "hdfc-aggregator",
})
// scoped, audited, and grounded in live data

Built for agent workflows

Agent-ready

Structured, typed responses designed for tool use — not screen scraping.

Structured data

Normalized financial objects across every connected system.

Guardrails

Scoped permissions and spend controls on every agent action.

Full audit

Every agent decision and action is logged and reviewable.

Grounded in real data

Answers backed by live financial state

Agents read real-time balances, positions, and transaction history through Lynqx — so their answers and actions reflect what's actually true right now.

Account balancesreal-time
HDFC · Operating
XXXX 4821
₹4.2Cr
+₹2,40,000 today
Citi · USD
XXXX 9034
$1.8M
+$48,000 today
DBS · SGD
XXXX 2210
S$920K
−S$12,000 today

Why teams build AI on Lynqx

1
MCP endpoint for every system
100%
Agent actions audited
<200ms
Data freshness

Put your agents to work

See how AI teams use Lynqx to act on financial systems safely.