How to Use the Alchemer MCP in CrewAI

Q: How do I assign Alchemer tools to a specific CrewAI agent?

You can pass the Vinkius HTTP URL directly in the agent's mcps list. This gives that specific CrewAI agent access to tools like listsurveys while keeping other agents focused on different tasks.

Q: Can I limit which Alchemer tools my CrewAI team can access?

Yes, you can use MCPServerHTTP from crewai.mcp with a toolfilter. This lets you restrict your CrewAI agents so they can only run safe tools like getsurveydetails while blocking write operations.

Q: How do agents collaborate on Alchemer reports?

One agent can run listsurveyreports to gather high-level data, then share those insights with a writer agent. CrewAI manages this sequence automatically, allowing the team to compile polished summaries without human input.

Q: How is my Alchemer survey metadata kept private within CrewAI?

Every tool execution, including calls to getquestiondetails, runs inside a secure V8 Isolate sandbox. This architecture guarantees that your survey structures and metadata are never leaked to third-party logs or external vector databases.

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Connect Alchemer MCP to CrewAI

Create your Vinkius account to connect Alchemer 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 Alchemer with CrewAI

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Coordinate multi-agent survey analysis

The `list_survey_responses` tool feeds raw customer feedback from Alchemer into your CrewAI MCP team for multi-perspective analysis. While your CrewAI Analyst Agent extracts pain points from the Alchemer responses, your Coordinator Agent drafts follow-up tasks based on the findings. CrewAI's shared memory ensures that both agents stay aligned on the context of each Alchemer ticket. This prevents your CrewAI agents from repeating API calls or losing track of the user's history.

Let CrewAI manage Alchemer contact lists autonomously

The `list_contact_lists` tool allows your specialized CrewAI database agent to audit and clean your Alchemer survey directories. This database agent works in tandem with a CrewAI marketing agent, who uses `list_survey_campaigns` to match Alchemer contact lists with the right feedback forms. You can set this up to run on a schedule, ensuring your Alchemer distribution lists are always updated without manual intervention by CrewAI. The agents pass data back and forth to keep your target audiences clean.

Build autonomous quality assurance for Alchemer questions

The `list_survey_questions` tool exposes your Alchemer survey structures to a dedicated CrewAI MCP moderator agent. This CrewAI agent checks the phrasing of your active Alchemer questions to ensure they follow internal brand guidelines and don't contain typos. If the CrewAI moderator finds an issue, it hands the metadata over to a writer agent to suggest revisions. This team-based approach catches mistakes before your Alchemer surveys go live to thousands of customers.

Setup guide

Set up Alchemer 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 Alchemer tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

You can pass the Vinkius HTTP URL directly in the agent's `mcps` list. This gives that specific CrewAI agent access to tools like `list_surveys` while keeping other agents focused on different tasks.

Yes, you can use `MCPServerHTTP` from `crewai.mcp` with a `tool_filter`. This lets you restrict your CrewAI agents so they can only run safe tools like `get_survey_details` while blocking write operations.

One agent can run `list_survey_reports` to gather high-level data, then share those insights with a writer agent. CrewAI manages this sequence automatically, allowing the team to compile polished summaries without human input.

No, Vinkius manages all the authentication details behind a single secure endpoint token. Your Python code just needs the connection URL to start querying the API.

Every tool execution, including calls to `get_question_details`, runs inside a secure V8 Isolate sandbox. This architecture guarantees that your survey structures and metadata are never leaked to third-party logs or external vector databases.

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