How to Use the Freshsuccess MCP in CrewAI

Q: How do I connect CrewAI to the Freshsuccess API?

Pass your Vinkius MCP endpoint URL directly into the mcps array when defining your Agent. For more granular control, import MCPServerHTTP and configure the connection manually.

Deploy autonomous agent teams to monitor Freshsuccess account health and resolve churn risks with CrewAI.

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Connect Freshsuccess MCP to CrewAI

Create your Vinkius account to connect Freshsuccess to CrewAI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Freshsuccess with CrewAI

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Delegate Freshsuccess Audits in CrewAI

Customer success requires constant vigilance, which makes it a perfect job for a multi-agent team. Assign the Freshsuccess MCP Server to a dedicated monitoring agent in CrewAI. This agent runs continuously, calling `get_account_health` and `get_user_health` to build a baseline of your entire customer base. When the monitor detects a dropping health score, it passes the context to a separate analyst agent. The analyst pulls the specific account history using `list_cs_users` and reviews the recent activity. Because they share memory, the analyst knows exactly why the monitor flagged the account.

Manage CS Alerts Without Human Intervention

Your team ignores alerts when there are too many of them. Fix alert fatigue by letting an autonomous crew handle the initial triage. A triage agent executes `list_cs_alerts` to pull every active warning across your portfolio. Instead of just pinging Slack, an action agent takes over. It evaluates the alert context and uses `list_cs_tasks` to see if a manager is already working on the account. If the queue is empty, the agent creates a new priority task for the assigned representative.

Restrict MCP Server Actions by Role

Not every agent in your crew needs the ability to alter customer records. Using the tool filter in your CrewAI setup, you strictly limit what each role executes. The research agent gets read-only access to `list_cs_accounts` and `list_custom_metrics`. You reserve the write operations for a highly restricted moderator agent. Only the moderator is allowed to call `upsert_cs_account` or `post_metric_value`. This prevents a hallucinating research agent from accidentally overwriting your enterprise billing contacts.

Setup guide

Set up Freshsuccess MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke Freshsuccess tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="Freshsuccess Analyst",
    goal="Access and analyze Freshsuccess data via MCP.",
    backstory="Expert analyst with direct Freshsuccess access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent Freshsuccess transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

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

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

server_params = SseServerParameters(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="Freshsuccess Analyst",
        goal="Access and analyze Freshsuccess data via MCP.",
        backstory="Expert analyst with direct Freshsuccess access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Freshsuccess transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Freshsuccess. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Freshsuccess MCP in CrewAI

Pass your Vinkius MCP endpoint URL directly into the `mcps` array when defining your Agent. For more granular control, import `MCPServerHTTP` and configure the connection manually.

Yes. Use the tool filter parameter when setting up the MCP client. You give your analyst agent access to `get_account_health` while blocking it from using `upsert_cs_user`.

Agents use shared memory. When one agent pulls a list of churn warnings via `list_cs_alerts`, the exact JSON response becomes available to the next agent in your sequential pipeline.

Yes. You configure a background agent to monitor external databases and call `post_metric_value` whenever a customer hits a specific usage milestone.

Your custom metric definitions and user metadata are strictly protected. The Vinkius zero-trust architecture processes every tool call in an isolated runtime that vanishes the moment the data returns to your environment.

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