Connect Flutterwave to Claude: Sync Global Transfers and Wallets

If you need to connect Flutterwave to Claude to orchestrate cross-border payouts, manage multi-currency wallets, or automate treasury operations, you need a Model Context Protocol (MCP) server. This infrastructure layer translates Claude's natural language tool calls into structured REST API requests against Flutterwave's endpoints. You can build and maintain this translation layer yourself, or use a managed integration platform like Truto to dynamically generate a secure, authenticated MCP server URL. If your team uses ChatGPT, check out our guide on connecting Flutterwave to ChatGPT or explore our broader architectural overview on connecting Flutterwave to AI Agents.

Giving a Large Language Model (LLM) read and write access to core financial infrastructure is an engineering challenge with zero margin for error. You have to handle stringent authentication requirements, map deeply nested JSON payloads for mobile money versus bank rail transfers, and manage strict rate limits. Every time an endpoint changes or a new currency requirement is added, you have to update your server code and redeploy.

This guide breaks down exactly how to use Truto to generate a secure, managed MCP server for Flutterwave, connect it natively to Claude Desktop, and execute complex financial workflows using natural language.

The Engineering Reality of the Flutterwave API

A custom MCP server is a self-hosted integration layer. While the open MCP standard provides a predictable way for models to discover tools, the reality of implementing it against Flutterwave's APIs is painful. You are not just integrating a standard REST API - you are interfacing with a complex financial routing engine that behaves differently depending on the region, payment type, and currency.

If you decide to build a custom MCP server for Flutterwave, you own the entire lifecycle. Here are the specific challenges you will face:

Complex Transaction References and Idempotency Flutterwave relies heavily on transaction references (tx_ref) and Flutterwave references (flw_ref) to track the lifecycle of charges and transfers. tx_ref must be a unique string generated by the merchant, while flw_ref is returned by Flutterwave after processing. If you expose these raw creation requirements to Claude without context, the LLM will often hallucinate references or reuse old ones, causing idempotency conflicts and duplicate payment failures. A managed MCP server injects required schemas automatically, explicitly defining how the LLM should handle these keys.

Fragmented Payment Rails (Mobile Money vs Banks) Transferring funds in Flutterwave requires different payload structures depending on whether you are sending money to a traditional bank account or a mobile money wallet (like M-Pesa). The account_bank and account_number fields have varying validation rules based on the currency passed. Managing this conditional logic across an LLM context window is notoriously difficult. Truto's dynamically generated tool schemas translate Flutterwave's internal documentation directly into JSON Schema, ensuring Claude understands exactly which fields are required for which payment method.

Strict Rate Limits and Error Passthrough Flutterwave enforces strict rate limits to protect its infrastructure. When you hit these limits, the API returns an HTTP 429 error. Truto normalizes this upstream rate limit information into standardized headers (ratelimit-limit, ratelimit-remaining, ratelimit-reset) per the IETF spec. Truto does not retry, throttle, or apply backoff on rate limit errors. When Flutterwave returns a 429, Truto passes that exact error to the caller (Claude). The LLM itself, or your custom agent framework, is entirely responsible for interpreting the headers and executing exponential backoff before retrying the tool call.

Security and Access Control

Connecting an LLM to a financial system like Flutterwave requires strict access boundaries. By default, an MCP server exposes all documented endpoints. Truto allows you to lock down the server using four primary security controls:

• Method Filtering: Restrict the MCP server to specific HTTP methods. You can pass config.methods: ["read"] to allow only get and list operations (e.g., checking wallet balances), blocking the LLM from ever executing create or update operations (e.g., initiating transfers).
• Tag Filtering: Group tools by functional area. If Flutterwave resources are tagged internally (e.g., ["transfers"], ["wallets"]), you can restrict the server to only those specific tags using config.tags.
• API Token Auth (require_api_token_auth): By default, the MCP token in the URL acts as the sole authentication mechanism. For high-security environments, setting this flag to true forces the client to also provide a valid Truto API token via a Bearer header, adding a second layer of authentication.
• Expiration (expires_at): Auto-destruct servers after a set time. By passing an ISO datetime, the underlying distributed key-value storage will automatically purge the token at the exact expiration time, immediately severing the LLM's access.

How to Generate a Flutterwave MCP Server

You can generate an MCP server for Flutterwave either through the Truto dashboard or programmatically via the API.

Method 1: Via the Truto UI

1. Log into Truto and navigate to the integrated account page for your connected Flutterwave instance.
2. Click the MCP Servers tab.
3. Click Create MCP Server.
4. Select your desired configuration. Name the server, apply method filters (e.g., select "Read Only" if you just want to query balances), and set an optional expiration date.
5. Click Save and copy the generated MCP server URL (e.g., https://api.truto.one/mcp/abc123def456).

Method 2: Via the API

For teams managing multiple environments or building automated provisioning pipelines, you can generate the server via a simple POST request. The API validates that the integration has tools available, generates a cryptographically secure token, and stores it in high-speed key-value storage.

curl -X POST https://api.truto.one/integrated-account/{integrated_account_id}/mcp \
  -H "Authorization: Bearer YOUR_TRUTO_API_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "name": "Flutterwave Treasury Agent",
    "config": {
      "methods": ["read", "create", "update"],
      "require_api_token_auth": false
    },
    "expires_at": "2025-12-31T23:59:59Z"
  }'

The response will return the configuration and the secure url you need to connect Claude.

How to Connect the MCP Server to Claude

Once you have your MCP URL, you can connect it to Claude via the desktop interface or by manually editing the configuration file.

Method 1: Via the Claude UI

1. Open the Claude Desktop app.
2. Navigate to Settings > Integrations > Add MCP Server.
3. Paste the Truto MCP URL you generated in the previous step.
4. Click Add. Claude will instantly execute an initialization handshake, dynamically pulling the schemas for all allowed Flutterwave tools.

Method 2: Via Manual Configuration File

If you prefer managing configurations as code, you can inject the server directly into Claude's desktop configuration file.

Locate the claude_desktop_config.json file (typically found in ~/Library/Application Support/Claude/ on macOS or %APPDATA%\Claude\ on Windows). Add the following configuration:

{
  "mcpServers": {
    "flutterwave-treasury": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-sse",
        "https://api.truto.one/mcp/YOUR_SECURE_TOKEN"
      ]
    }
  }
}

Restart Claude Desktop. The model now has direct access to the Flutterwave APIs defined by your filters.

Hero Tools for Flutterwave

Truto automatically generates descriptive, snake_case tool names derived from Flutterwave's documented endpoints. Here are the core tools you will use to automate financial workflows.

List Wallet Balances

list_all_flutterwave_wallets_balances

Retrieves the available and ledger balances across every currency supported in your Flutterwave account. This is critical for treasury agents determining if sufficient funds exist before orchestrating bulk payouts.

"Check our Flutterwave wallet balances across all supported currencies. Summarize the available balance for USD, NGN, and KES."

Create a Transfer

create_a_flutterwave_transfer

Initiates a transfer to a bank account or mobile money wallet. The tool accepts arguments for the bank code, account number, amount, and currency. It returns a queued transfer object containing the unique id and status.

"Send a transfer of 15000 NGN to account number 0123456789 at Guaranty Trust Bank (bank code 058). Use the narration 'Monthly Vendor Payout'."

Retrieve a Single Transfer

get_single_flutterwave_transfer_by_id

Fetches the real-time status of a transfer. Because Flutterwave transfers are processed asynchronously, an agent will use this tool to poll the transfer status (e.g., checking if it moved from NEW to SUCCESSFUL or FAILED).

"Check the status of transfer ID 1928374. If it failed, tell me the complete_message indicating why."

Retrieve Settlement Details

get_single_flutterwave_settlement_by_id

Fetches a comprehensive settlement object, including gross amount, net amount, processor fees, and the array of individual transactions that make up that specific settlement batch.

"Get the details for settlement ID 88392. Give me a breakdown of the gross amount versus the net amount after merchant fees."

List All Chargebacks

list_all_flutterwave_chargebacks

Retrieves a list of chargebacks initiated against your account. This tool accepts optional date range filters or specific transaction references (tx_ref), allowing agents to quickly audit disputed transactions.

"List all chargebacks filed in the last 7 days. Group them by their current status (e.g., won, lost, pending)."

Update a Chargeback

update_a_flutterwave_chargeback_by_id

Allows the agent to accept or decline a chargeback. Declining a chargeback usually requires submitting evidence via a separate workflow, but accepting it simply requires passing the action and a comment.

"Accept the chargeback for ID 449201 with the comment 'Fraudulent transaction confirmed, accepting liability'."

To view the complete inventory of available tools, query schemas, and required parameters, visit the Flutterwave integration page.

Workflows in Action

Connecting an LLM to Flutterwave transforms static API calls into dynamic, reasoning-based workflows. Here are two real-world scenarios showing how Claude can orchestrate treasury and support operations.

Scenario 1: Automated Payout Verification and Execution

FinOps teams spend hours manually checking ledger balances before uploading CSVs for vendor payouts. By giving Claude access to Flutterwave, you can automate the verification and execution loop.

"We need to pay a vendor 50,000 KES. Check our KES wallet balance first. If we have enough funds, initiate the transfer to account number 987654321 at Equity Bank (code 068). Once initiated, check the transfer status and confirm when it completes."

How Claude executes this:

1. Balance Check: Claude calls list_all_flutterwave_wallets_balances and filters the response to locate the KES currency object.
2. Logic Gate: Claude evaluates the available_balance. If the balance is less than 50,000, it stops and alerts the user. If sufficient, it proceeds.
3. Transfer Initiation: Claude calls create_a_flutterwave_transfer passing account_bank: "068", account_number: "987654321", amount: 50000, and currency: "KES". It receives a transfer id in return.
4. Status Polling: Claude calls get_single_flutterwave_transfer_by_id using the returned ID to confirm the status is SUCCESSFUL.

sequenceDiagram
    participant User as FinOps Manager
    participant Claude as Claude Desktop
    participant Truto as Truto MCP Server
    participant Upstream as Flutterwave API

    User->>Claude: "Check KES balance and pay vendor 50k KES"
    Claude->>Truto: Call list_all_flutterwave_wallets_balances
    Truto->>Upstream: GET /v3/balances
    Upstream-->>Truto: Balances JSON
    Truto-->>Claude: Returns [ { currency: "KES", available_balance: 150000 } ]
    Claude->>Claude: Evaluate (150000 >= 50000) -> Proceed
    Claude->>Truto: Call create_a_flutterwave_transfer
    Truto->>Upstream: POST /v3/transfers
    Upstream-->>Truto: Transfer ID: 88372
    Truto-->>Claude: Returns queued transfer object
    Claude->>Truto: Call get_single_flutterwave_transfer_by_id(88372)
    Truto->>Upstream: GET /v3/transfers/88372
    Upstream-->>Truto: Status: SUCCESSFUL
    Truto-->>Claude: Returns completed transfer state
    Claude-->>User: "Transfer of 50,000 KES was successful."

Scenario 2: Triaging Support Tickets for Failed Charges

Customer support teams constantly cross-reference transaction references between their internal database and the payment gateway to see why a charge failed.

"A customer emailed saying their payment failed. The transaction reference is TX-ORD-9912. Check the charge status in Flutterwave and tell me the specific processor response so I know what to tell the customer."

How Claude executes this:

1. Search Charges: Claude calls list_all_flutterwave_charges passing the parameter `tx_ref: "TX-ORD-9912"" to locate the exact transaction attempt.
2. Analyze Result: Claude extracts the id from the resulting array.
3. Fetch Specifics: Claude calls get_single_flutterwave_charge_by_id to get the full charge object.
4. Extract Error: Claude reads the processor_response (e.g., "Insufficient Funds" or "Do Not Honor") and formulates a human-readable summary for the support agent.

Moving Past Static Scripts

Integrating Flutterwave directly into LLM workflows moves your team away from static, brittle scripts and into dynamic financial orchestration. By utilizing Truto's dynamically generated MCP servers, you eliminate the overhead of writing custom REST clients, managing OAuth or API keys securely in local environments, and manually constructing massive JSON schemas for Claude to understand.

Whether you are building internal tools for your treasury team or developing an AI agent that automatically resolves chargebacks, abstracting the integration layer ensures your engineering team spends time building the agent's logic, not debugging payment API edge cases.