How do I find my PartnerStack API Key?

In your PartnerStack dashboard, go to **Settings** > **Integrations** and look for the API Key section. You may need to generate a new key if one doesn't exist.

Can I see leads submitted by a specific partner?

Yes! Use the `list_partner_leads` tool. You can ask the AI agent to filter the results for a particular partner name or ID from the retrieved list.

Does this support reward tracking?

Absolutely. Use the `list_partner_rewards` tool to see a log of all generated rewards and their current status across your partner ecosystem.

PartnerStack MCP Server for CrewAI 10 tools — connect in under 2 minutes

Name: PartnerStack
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 10 Tools Framework

Connect your CrewAI agents to PartnerStack through Vinkius, pass the Edge URL in the `mcps` parameter and every PartnerStack 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

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python

from crewai import Agent, Task, Crew

agent = Agent(
    role="PartnerStack Specialist",
    goal="Help users interact with PartnerStack effectively",
    backstory=(
        "You are an expert at leveraging PartnerStack 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 PartnerStack "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 10 available tools "
        "and what they can do."
    ),
)

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

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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 PartnerStack MCP Server

Connect your PartnerStack account to any AI agent and take full control of your partnership and ecosystem workflows through natural conversation.

When paired with CrewAI, PartnerStack becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call PartnerStack 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

Partner Oversight — List all partners and retrieve detailed metadata to manage your ecosystem relationships.
Lead Tracking — List and retrieve details for leads submitted by your partners to monitor the sales pipeline.
Customer Management — List customers associated with specific partners to understand attribution.
Reward Monitoring — List generated rewards and payouts to ensure your partners are incentivized correctly.
Campaign & Group Analysis — List partner groups and campaigns to maintain a clear view of your program structure.

The PartnerStack MCP Server exposes 10 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 PartnerStack to CrewAI via MCP

Follow these steps to integrate the PartnerStack 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 10 tools from PartnerStack

Why Use CrewAI with the PartnerStack MCP Server

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

PartnerStack + CrewAI Use Cases

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

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

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

PartnerStack MCP Tools for CrewAI (10)

These 10 tools become available when you connect PartnerStack to CrewAI via MCP:

get_partner

Get details for a specific partner

get_partner_customer

Get details for a specific customer

list_partner_campaigns

List all partner campaigns

list_partner_customers

List all customers associated with partners

list_partner_groups

List all partner groups

list_partner_leads

List all leads submitted by partners

list_partner_rewards

List all generated rewards

list_partner_transactions

List all partner transactions

list_partner_webhooks

List all configured webhooks

list_partners

List all partners

Example Prompts for PartnerStack in CrewAI

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

"List all active partners in my account."

"Show me the last 5 leads submitted by our partners."

"What is the status of the rewards for the 'Summer Campaign'?"

Troubleshooting PartnerStack MCP Server with CrewAI

Common issues when connecting PartnerStack 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.

PartnerStack + CrewAI FAQ

Common questions about integrating PartnerStack 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.