Modulr requires complex timestamped HMAC API Signatures, how does the prompt handle that?

We handle that completely in the background Engine! The Vinkius runtime grabs your static API Secret from configurations once. Then, every time the Language Model triggers a payment, our Node.js runtime creates random cryptographic hex Nonces, aligns current UTC Date limits, hashes the combination uniquely via SHA-256 and packs it into the underlying header dynamically natively.

Can the Agent generate new SEPA/UK Accounts?

Yes, using `modulr_create_account`, you can spawn multiple isolated UK GBP ledgers natively linked to customers.

Are cross-border Faster Payments supported natively?

Absolutely. You can inject external sorts codes inside the `modulr_create_payment` orchestrations delivering funds transparently via clearing houses.

Modulr MCP Server for CrewAI 7 tools — connect in under 2 minutes

Name: Modulr
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 7 Tools Framework

Connect your CrewAI agents to Modulr through Vinkius, pass the Edge URL in the `mcps` parameter and every Modulr tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Modulr Specialist",
    goal="Help users interact with Modulr effectively",
    backstory=(
        "You are an expert at leveraging Modulr tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in Modulr "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 7 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Modulr MCP Server

The Modulr MCP Server wraps incredibly defensive digital signatures (HMAC SHA-256) autonomously underneath a native Language Model Chat interface. Meaning, your AI has programmatic limits to fire secure European and British payment rails on command natively.

When paired with CrewAI, Modulr becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Modulr tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

Core Functionality

Create Modulr Customers/Accounts — Manage deeply nested multi-layered B2B structures. Automatically provision Sort-Code ledgers via modulr_create_account.
Payment Initiation — Run automated payroll or contractor compensation logic utilizing direct clearing paths mapping via modulr_create_payment.
Algorithmic Tracing — Check real-time payment states checking failures or settlements organically utilizing modulr_list_payments.

Use Cases

Lending Startups — Direct integration validating funds exactly when needed.
Payment Reconciliations — Have the Agent review your physical transactional ledger.

The Modulr MCP Server exposes 7 tools through the Vinkius. Connect it to CrewAI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Modulr to CrewAI via MCP

Follow these steps to integrate the Modulr MCP Server with CrewAI.

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 7 tools from Modulr

Why Use CrewAI with the Modulr MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Modulr through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

Modulr + CrewAI Use Cases

Practical scenarios where CrewAI combined with the Modulr MCP Server delivers measurable value.

Automated multi-step research: a reconnaissance agent queries Modulr for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries Modulr, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Modulr tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries Modulr against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Modulr MCP Tools for CrewAI (7)

These 7 tools become available when you connect Modulr to CrewAI via MCP:

modulr_create_account

g. GBP or EUR). Instantiate a UK/EU Account under a specific Customer

modulr_create_beneficiary

, or IBAN. Map an external Recipient

modulr_create_payment

Trigger an outgoing Faster Payment or SEPA payout

modulr_get_accounts

List all live Accounts and mapped liquidity

modulr_get_customers

List underlying legal customers/entities inside Modulr

modulr_get_transactions

Audit transaction histories on a specific Account

modulr_list_payments

Check the status of massive payment arrays

Example Prompts for Modulr in CrewAI

Ready-to-use prompts you can give your CrewAI agent to start working with Modulr immediately.

"Check our main UK sub-account. View the history array mapped onto it to find pending activity."

"Initialize a payment stream. Register a Beneficiary named 'DevTeam' pointing to target Sort Code 123456 Acct 98765432. Send £5,000 from Account 'A110' natively."

"Scan our Modulr operational Customers and list the active instances returning metadata boundaries."

Troubleshooting Modulr MCP Server with CrewAI

Common issues when connecting Modulr to CrewAI through the Vinkius, and how to resolve them.

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

Modulr + CrewAI FAQ

Common questions about integrating Modulr MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.