How to Use the Alphamoon MCP in CrewAI

Q: How do I expose Alphamoon to my CrewAI agents?

Pass the Vinkius MCP URL directly into the mcps array of your agent definition. The framework handles the rest.

Q: Can I restrict which Alphamoon tools a specific CrewAI agent sees?

Use MCPServerHTTP and apply a toolfilter. Give the legal agent access to OCR tools while restricting the cleanup agent to deletion commands.

Deploy autonomous document processing teams using CrewAI and Alphamoon.

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Connect Alphamoon MCP to CrewAI

Create your Vinkius account to connect Alphamoon 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 Alphamoon with CrewAI

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Claude

Perplexity

Ingestion and sorting agents

An intake agent runs `list_documents` to audit the current queue of unprocessed files. Finding new entries is the first step in any automated pipeline. Discovering a fresh upload prompts the agent to use `get_document` for metadata inspection. The intake agent then tags the file and passes the ID to the extraction crew.

Extraction crew via MCP Server

A financial agent calls `get_extraction_results` to pull line items and totals from invoices. Specialized agents handle different data types better than generalists. Meanwhile, a legal agent hits `get_ocr_results` to read the raw text of a contract. Both agents write their findings to the shared crew memory for the final reporting agent to compile.

Administrative cleanup teams

System maintenance routines execute `check_alphamoon_status` to ensure the API is responsive before starting work. Keeping the MCP Server workspace organized requires dedicated cleanup tasks. Finished batches get purged using `delete_document` to free up system limits. The moderator agent oversees this process to prevent accidental deletion of active files.

Setup guide

Set up Alphamoon 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 Alphamoon tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

Pass the Vinkius MCP URL directly into the `mcps` array of your agent definition. The framework handles the rest.

Use `MCPServerHTTP` and apply a `tool_filter`. Give the legal agent access to OCR tools while restricting the cleanup agent to deletion commands.

Agents sometimes hallucinate template IDs. Force them to run the list templates tool first to ground their requests in actual data via the MCP Server.

Yes. A manager agent can delegate specific document checks to subordinate agents based on the workload.

Nobody. The Vinkius infrastructure relies on ephemeral sandboxes. Your sensitive contracts, forms, and invoices are processed in memory and wiped immediately after the session ends.

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