How to Use the National Archives Catalog MCP in CrewAI

Q: How do I add the National Archives Catalog to a CrewAI agent?

Pass the Vinkius HTTP URL directly into the agent's mcps list. The agent will automatically discover tools like searchrecords and use them.

Q: Can a CrewAI agent update transcriptions in the National Archives Catalog?

Yes. If authorized, an agent can use the updatetranscription tool to save newly generated text directly to the record.

Q: How do I limit which tools my crew can access?

Use the MCPServerHTTP class with a toolfilter to restrict this MCP Server. This lets you expose read-only tools like searchrecordsbytag while blocking write tools.

Deploy specialized teams of CrewAI agents to research, tag, and transcribe the National Archives Catalog.

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Connect National Archives Catalog MCP to CrewAI

Create your Vinkius account to connect National Archives Catalog 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 National Archives Catalog with CrewAI

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Perplexity

Deploy Multi-Agent Historical Research Teams

One agent can't handle deep historical research alone. Through this MCP Server, you can assign a Researcher Agent to run `search_records_by_text` while an Analyst Agent processes the results. They share memory, meaning the analyst knows exactly what the researcher found. If the researcher finds a document, the analyst can immediately call `get_transcriptions_by_naid` to extract the text. They collaborate in real-time to build a cohesive report without manual handoffs.

Automate Catalog Moderation with a CrewAI MCP Server

Manage community contributions without lifting a finger. Set up a crew where a Monitor Agent watches incoming comments via `search_comments`. If it flags a problematic post, it hands the task to a Moderator Agent. The moderator then uses `delete_comment` or `delete_tag` to remove the bad data. This multi-agent setup keeps your historical database clean around the clock.

Coordinate Deep Document Indexing

Indexing millions of government records requires structured coordination. Your crew can use `get_record_children` to traverse deep archive hierarchies systematically. One agent maps the folder structure while another pulls the actual files. As they find un-transcribed records, a third agent can draft transcriptions and call `create_transcription`. They work sequentially, turning raw scans into searchable text.

Setup guide

Set up National Archives Catalog 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 National Archives Catalog tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

    task = Task(
        description="List recent National Archives Catalog 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 National Archives Catalog. 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 National Archives Catalog MCP in CrewAI

Pass the Vinkius HTTP URL directly into the agent's `mcps` list. The agent will automatically discover tools like `search_records` and use them.

Yes. CrewAI handles parallel execution, allowing different agents to call `get_tags_by_naid` and `get_comments_by_naid` at the same time.

Yes. If authorized, an agent can use the `update_transcription` tool to save newly generated text directly to the record.

Use the `MCPServerHTTP` class with a `tool_filter` to restrict this MCP Server. This lets you expose read-only tools like `search_records_by_tag` while blocking write tools.

Your user IDs, comments, and transcription text are processed in an ephemeral, isolated container. Vinkius secures this MCP Server with zero-trust protocols, ensuring your historical research stays private.

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