How to Use the Canny MCP in CrewAI

Q: How do I pass the Canny MCP Server to a CrewAI agent?

Define the Vinkius URL in the mcps parameter when initializing your agent. This exposes all eleven feedback tools to that specific crew member.

Q: Can one CrewAI agent read Canny boards while another votes?

Yes. You can assign listfeedbackboards to your researcher agent and limit voteonpost to your manager agent using CrewAI tool filters.

Q: Do CrewAI agents need custom code to parse Canny comments?

No. The listcomments tool returns structured JSON that CrewAI agents parse natively using their built-in LLM capabilities.

Run autonomous product manager crews using CrewAI and Canny tools.

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Connect Canny MCP to CrewAI

Create your Vinkius account to connect Canny 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 Canny with CrewAI

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Analyze boards with CrewAI and Canny MCP Server

The `get_board_details` tool gives your research agent full access to product feedback structures. Your moderator agent then uses `list_feedback_posts` to pull active requests for review. The crew collaborates in shared memory to group similar requests. They draft a summary report without you needing to read through hundreds of raw posts.

Engage users with specialized agents

The `list_comments` tool feeds recent customer comments to a dedicated support agent. If a user asks a question, a writer agent drafts a response and uses the MCP to post it. Meanwhile, a quality assurance agent monitors the output to ensure accuracy. This multi-agent setup keeps your community engaged 24/7.

Score and vote on key posts

The `vote_on_post` tool lets your agent team upvote critical bug reports automatically. An analysis agent checks internal error logs, while a developer agent matches them to Canny posts. They use `get_post_details` to verify the bug's impact, ensuring your internal engineering priorities align with real user pain points.

Setup guide

Set up Canny 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 Canny tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

Define the Vinkius URL in the `mcps` parameter when initializing your agent. This exposes all eleven feedback tools to that specific crew member.

Yes. You can assign `list_feedback_boards` to your researcher agent and limit `vote_on_post` to your manager agent using CrewAI tool filters.

CrewAI agents execute sequentially or hierarchically. Vinkius buffers the `list_feedback_posts` requests to prevent your crew from hitting API limits.

No. The `list_comments` tool returns structured JSON that CrewAI agents parse natively using their built-in LLM capabilities.

No. Your crew connects via a single Vinkius token on the MCP Server. All Canny comments and account details are processed in memory and never written to disk.

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