Banks with MCP Servers | Agentic Banking Directory

Track banks implementing MCP servers for AI agent access to banking services.

The Model Context Protocol (MCP) is transforming how AI agents interact with financial services. Banks are now building MCP servers that allow AI assistants like Claude and ChatGPT to securely access banking data and services—enabling a new era of agentic banking where AI can help manage finances, analyze transactions, and even initiate payments on behalf of customers.

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2
Banks with MCP
✏️
1
Read + Write Access
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2
In Beta
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2
Regions Covered

What is the Model Context Protocol (MCP)?

MCP is an open-source standard developed by Anthropic (released November 2024) that standardizes how large language models (LLMs) interact with external tools and data sources. It uses JSON-RPC 2.0 as its communication protocol, defining "servers" that host data and resources, and "clients" (like Claude or ChatGPT) that connect with controlled access.

For banking, MCP enables AI agents to access dynamic financial data—account balances, transactions, payment capabilities—rather than relying solely on static or pre-loaded information. This opens up possibilities for AI-powered financial management, automated payments, and intelligent financial insights that were previously impossible.

Banks with MCP Server Implementations

Griffin

Beta

United Kingdom

Read + Write

Griffin is a UK-based Banking-as-a-Service platform regulated by the PRA and FCA. Their MCP server enables AI agents to open accounts, make payments, and analyze transactions with proper safeguards.

MCP Capabilities:

Account OpeningPaymentsTransaction AnalysisPrototyping

Supported AI Models:

Claude, ChatGPT, Custom Agents

Key Highlights:

  • First UK bank with full read-write MCP capabilities
  • Enables AI agents to open accounts programmatically
  • Supports payment initiation through AI agents
  • Transaction analysis and insights for AI applications

Grasshopper Bank

Beta

United States • Partner: Narmi

Read Only

Grasshopper Bank is a digital bank serving startups, SMBs, fintechs, and VC/PE firms. Partnering with Narmi, they launched the first MCP server by a US bank, enabling AI-driven financial insights.

MCP Capabilities:

Account DataTransaction AnalysisCash FlowExpense Categorization

Supported AI Models:

Claude, ChatGPT

Key Highlights:

  • First US bank to implement MCP server
  • Partnership with Narmi for digital banking technology
  • Secure read-only access to financial data
  • Natural language queries for account information

MCP Banking Comparison

BankRegionAccess LevelCan Open AccountsCan Make PaymentsStatus
GriffinEuropeRead + WriteYesYesBeta
Grasshopper BankNorth AmericaRead OnlyNoNoBeta

Benefits & Considerations

Efficiency & Speed

No more manual exports, switching dashboards, or copying data. Natural language access to banking data enables faster decision-making.

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Personalized Insights

AI can provide financial guidance grounded in your actual transaction history and spending patterns, not generic advice.

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Proactive Guidance

Forecasts and alerts can surface potential cash flow issues, overdrafts, or opportunities before they happen.

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Security Considerations

Banks implement bank-grade security, granular permissions, and audit trails. Most current implementations are read-only.

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AI Limitations

AI models can make mistakes. All financial insights should be verified before acting. Not financial advice.

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Regulatory Compliance

Banks must ensure AI access complies with data privacy regulations and financial services requirements.

Agentic Banking Use Cases

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AI Wealth Management

Fully automated portfolio management and investment decisions

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Expense Analysis

Natural language queries like "What did I spend on software last quarter?"

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Payment Automation

AI handles routine payment admin and bill management

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Cash Flow Forecasting

Predictive insights for business financial planning

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Fintech Prototyping

Build and test financial applications with real banking APIs

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Custom Financial Agents

Build personalized agents for your specific financial needs

The Rise of Agentic Banking

We are witnessing the early days of a massive technological platform shift. As AI capabilities advance, people are delegating more tasks to AI agents—and financial services are no exception. The question is no longer whether AI will interact with banking systems, but how it will do so safely and effectively.

Why MCP Matters for Banking

Traditional approaches to AI-banking integration involved giving AI access to passwords or having it scrape websites—approaches that are insecure and often violate terms of service. MCP provides a standardized, secure protocol for AI agents to access banking services with proper authentication, authorization, and audit trails.

  • Standardization — MCP is an open protocol, reducing integration friction across different AI models and banking platforms
  • Security — Proper authentication, granular permissions, and revocable access replace insecure workarounds
  • Interoperability — Same MCP server can work with Claude, ChatGPT, and other compatible AI models
  • Auditability — All AI interactions can be logged and monitored for compliance

Griffin: The Agentic Bank

Griffin, a UK-based Banking-as-a-Service platform regulated by the PRA and FCA (FRN 970920), is pioneering full read-write MCP capabilities. Their MCP server enables AI agents to:

  • Open bank accounts programmatically
  • Initiate payments and transfers
  • Analyze transaction history and patterns
  • Build complete fintech application prototypes

Currently in beta with sandbox access, Griffin is actively working with customers who want to deploy agentic banking capabilities in production settings.

Grasshopper Bank: First US Bank with MCP

Grasshopper Bank, partnering with digital banking technology provider Narmi, launched the first MCP server by a US bank in August 2025. Their implementation focuses on read-only access for business banking clients, enabling:

  • Natural language queries for account balances and transaction data
  • AI-powered expense categorization and vendor analysis
  • Cash flow forecasting and predictive insights
  • Budget guidance for small businesses and startups

The read-only constraint is intentional—it provides valuable insights without the risk of AI initiating unintended transactions. General availability is expected in Q4 2025.

The Future of Agentic Banking

As MCP adoption grows, we can expect:

  • More banks launching MCP servers — Both established banks and neobanks
  • Expanded capabilities — From read-only to read-write in more jurisdictions
  • Regulatory frameworks — Specific guidance for AI access to banking services
  • New fintech applications — Built natively on agentic banking capabilities
  • Integration with Open Banking — MCP complementing existing Open Banking APIs

Related Resources

Explore our other directories to understand the broader open banking and fintech ecosystem.

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