How to Use the Freshsales MCP in CrewAI

Q: How do I connect CrewAI to Freshsales?

Run pip install crewai "crewaitools". You can pass your endpoint URL directly into the mcps array on your Agent definition. The framework handles the connection automatically.

Q: Can I restrict which Freshsales tools a CrewAI agent uses?

Yes. Import MCPServerHTTP and use the toolfilter parameter. This lets you give the research agent access to listcontacts while preventing it from accidentally calling createlead.

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Connect Freshsales MCP to CrewAI

Create your Vinkius account to connect Freshsales 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 Freshsales with CrewAI

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Equip Your CrewAI Sales Squad

The `list_leads` tool gives your research agent the ability to pull raw prospect lists directly from the CRM. This agent scans the database, identifies high-value targets, and stores the findings in shared memory. An outreach agent then takes over using the `get_lead` and `get_contact` tools. It reads the deep profile data gathered by the researcher and drafts highly targeted emails. The agents collaborate to process the pipeline faster than a human team ever could.

Monitor Deals Autonomously

The `list_deals` tool allows a dedicated pipeline-monitoring agent to watch your revenue metrics around the clock. It pulls the current opportunities and analyzes the stages. When it spots a bottleneck, it cross-references the account history using `list_notes` and `list_sales_accounts`. A moderator agent reviews this analysis and alerts the human sales manager about accounts that need immediate attention.

Coordinate Freshsales MCP Server Tasks

The `list_appointments` tool lets an administrative agent see exactly who is busy and who is free. It reviews the daily schedule for the entire sales floor. Meanwhile, a task-management agent runs `list_tasks` to find pending work. By sharing memory, the two agents match available reps with overdue tasks. They optimize the team's workload continuously in the background.

Setup guide

Set up Freshsales 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 Freshsales tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

task = Task(
    description="List recent Freshsales 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="Freshsales Analyst",
        goal="Access and analyze Freshsales data via MCP.",
        backstory="Expert analyst with direct Freshsales access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Freshsales 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 Freshsales. 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 Freshsales MCP in CrewAI

Run `pip install crewai "crewai[tools]"`. You can pass your endpoint URL directly into the `mcps` array on your Agent definition. The framework handles the connection automatically.

Yes. Import `MCPServerHTTP` and use the `tool_filter` parameter. This lets you give the research agent access to `list_contacts` while preventing it from accidentally calling `create_lead`.

The tools integrate perfectly into a top-down management structure. A manager agent can delegate CRM lookups like `list_sales_accounts` to subordinate agents and review their findings before making a decision.

The Python client supports stdio, SSE, and Streamable HTTP. You provide the Vinkius endpoint, and the agents handle the underlying communication layer.

Authentication requires a single endpoint token that never touches your application code. When an agent reads sensitive schedules via `list_appointments`, the data processes inside a strict V8 Isolate. The environment destroys itself immediately after the tool returns the result.

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