How to Use the Ayanza MCP in CrewAI

Q: How do I add Ayanza tools to my CrewAI agents?

Install crewaitools and pass your Vinkius MCP Server URL directly into the mcps list when initializing your agent. The framework handles the rest.

Q: Can I restrict which Ayanza tools a CrewAI agent can use?

Yes, you can use MCPServerHTTP along with a toolfilter to selectively expose tools. This prevents specific agents from executing actions like deletetask.

Q: How does Vinkius secure my Ayanza wiki and task data?

Every tool call, from listwikipages to getme, executes in an isolated MCP V8 sandbox. Your sensitive workspace text is processed ephemerally and never written to disk.

Deploy specialized CrewAI agent teams to manage your Ayanza tasks, projects, and wikis autonomously.

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Connect Ayanza MCP to CrewAI

Create your Vinkius account to connect Ayanza 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 Ayanza with CrewAI

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Multi-agent task coordination with CrewAI

This MCP Server enables multi-agent task coordination by letting one agent pull wiki content with `list_wiki_pages` while another writes action items with `create_task`. Instead of one massive prompt, you set up a crew of specialized agents that divide and conquer. CrewAI manages this collaboration by sharing memory between agents. The agent tasked with `list_tasks` can hand off its findings to a coordinator agent that updates status fields via `update_task`.

Filtered tool exposure for secure operations

This integration secures your workspace by letting you restrict sensitive tools like `delete_task` using a custom filter. You might not want your public-facing agents to have full access to your workspace. Use `MCPServerHTTP` and a custom `tool_filter` to limit what tools each agent can see. For example, you can give your research agent access to `get_project` and `list_tasks` while blocking destructive endpoints.

Autonomous workspace analysis via MCP Server

This integration runs continuous workspace analysis by combining `list_users` and `list_projects` to spot unassigned work. Your agents can run continuous sweeps of your collaboration space to identify gaps. Setting this up is simple. Just pass your Vinkius endpoint URL directly into your Agent's `mcps` array, and CrewAI will automatically import the tools.

Setup guide

Set up Ayanza 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 Ayanza tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

Install `crewai[tools]` and pass your Vinkius MCP Server URL directly into the `mcps` list when initializing your agent. The framework handles the rest.

Yes, you can use `MCPServerHTTP` along with a `tool_filter` to selectively expose tools. This prevents specific agents from executing actions like `delete_task`.

CrewAI agents use shared memory to pass context. If one agent runs `get_project`, the returned details are available to other agents in the crew to run `update_task`.

The integration supports standard stdio, SSE, and Streamable HTTP transports, giving you flexibility depending on where you host your Python environment.

Every tool call, from `list_wiki_pages` to `get_me`, executes in an isolated MCP V8 sandbox. Your sensitive workspace text is processed ephemerally and never written to disk.

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