Can I create a certificate and send it to someone in one workflow?

Yes! First use `create_credential` with the recipient details and template ID, then `issue_credential` to make it official, and finally `send_credential` to deliver it via email.

How do I find the right template ID to use when creating a credential?

Use the `list_credential_templates` tool to browse all available templates. Each template includes its ID, name, and description. Copy the ID and use it in the `create_credential` tool.

Can I search for a credential by the recipient's email address?

Absolutely. Use the `search_credentials` tool and enter the recipient's email as the query. It will return all credentials matching that email address.

INSTANT PLUG AND PLAY

Certifier MCP Server for CrewAIGive CrewAI instant access to 12 tools to Check Certifier Status, Create Credential, Get Credential, and more

Name: Certifier
Availability: InStock
Author: Vinkius

Built by Vinkius GDPR 12 Tools Framework

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

Use with Your AI Agent

Ask AI about this App Connector for CrewAI

Open in ChatGPT Open in Claude Open in Perplexity

The Certifier app connector for CrewAI is a standout in the Productivity category — giving your AI agent 12 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Certifier Specialist",
    goal="Help users interact with Certifier effectively",
    backstory=(
        "You are an expert at leveraging Certifier 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 Certifier "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 12 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 Certifier MCP Server

Connect your Certifier account to any AI agent and manage your entire digital credentialing workflow through natural conversation.

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

What you can do

Credential Lifecycle — Create, update, issue, and send credentials (certificates, badges, diplomas) to recipients.
Template Management — Browse and inspect credential templates to choose the right structure for each certification.
Design Control — List and review visual design templates that define certificate appearance and branding.
Recipient Search — Search across all credentials by recipient name, email, or custom ID to quickly find records.
Status Verification — Confirm API connectivity and check your total credential count.

The Certifier MCP Server exposes 12 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.

All 12 Certifier tools available for CrewAI

When CrewAI connects to Certifier through Vinkius, your AI agent gets direct access to every tool listed below — spanning digital-credentials, certificates, badges, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

check_certifier_status

Verify Certifier API connectivity

create_credential

Requires recipient name, email, and template ID. Create a new credential for a recipient

get_credential

Get full details of a specific credential

get_credential_template

Get details of a specific credential template

get_design_template

Get details of a specific design template

issue_credential

Once issued, it gets a verification URL and cannot revert. Issue a draft credential to make it official

list_credential_templates

Use template IDs when creating new credentials. List all credential templates

list_credentials

List all issued credentials

list_design_templates

List all design templates

search_credentials

Search credentials by recipient name or email

send_credential

Send a credential to the recipient via email

update_credential

Only draft credentials can be modified. Update an existing credential

Connect Certifier to CrewAI via MCP

Follow these steps to wire Certifier into CrewAI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

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 12 tools from Certifier

Why Use CrewAI with the Certifier MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Certifier 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

Certifier + CrewAI Use Cases

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

Automated multi-step research: a reconnaissance agent queries Certifier 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 Certifier, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Certifier 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 Certifier against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Example Prompts for Certifier in CrewAI

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

"List all my credential templates in Certifier."

"Create a certificate for John Smith (john@example.com) using template tpl_8a2bc."

"Search for all credentials issued to anyone at example.com."

Troubleshooting Certifier MCP Server with CrewAI

Common issues when connecting Certifier 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.

Certifier + CrewAI FAQ

Common questions about integrating Certifier 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.