National Archives Catalog MCP Server for LlamaIndexGive LlamaIndex instant access to 40 tools to Create Comment, Create Tag, Create Transcription, and more

Name: National Archives Catalog
Price: 29 USD
Availability: InStock
Rating: 0.2 (1 reviews)
Author: Vinkius

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LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add National Archives Catalog as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

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The National Archives Catalog MCP Server for LlamaIndex is a standout in the Knowledge Management category — giving your AI agent 40 tools to work with, ready to go from day one.

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python

import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to National Archives Catalog. "
            "You have 40 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in National Archives Catalog?"
    )
    print(response)

asyncio.run(main())

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About National Archives Catalog MCP Server

Connect to the National Archives Catalog (NARA) and explore the history of the United States through natural conversation. This MCP server allows your AI agent to act as a specialized research assistant, retrieving historical data, metadata, and digital objects from one of the world's largest archival collections.

LlamaIndex agents combine National Archives Catalog tool responses with indexed documents for comprehensive, grounded answers. Connect 40 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.

What you can do

Deep Search — Query records by text, tags, comments, or transcriptions to find specific historical context and documents.
Record Hierarchy — Navigate complex archival structures by retrieving immediate children of specific parent records (NaId).
User Contributions — Manage and search through tags, comments, and transcriptions provided by the citizen archivist community.
Metadata Retrieval — Get detailed information, status metrics, and descriptions for specific National Archives Identifiers.
Tagging & Interaction — Create or delete tags and comments to organize research findings directly within the catalog ecosystem.

The National Archives Catalog MCP Server exposes 40 tools through the Vinkius. Connect it to LlamaIndex in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 40 National Archives Catalog tools available for LlamaIndex

When LlamaIndex connects to National Archives Catalog through Vinkius, your AI agent gets direct access to every tool listed below — spanning historical-records, nara, archives, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

create

Create comment on National Archives Catalog

Add a new comment to a record

create

Create tag on National Archives Catalog

Add a new tag to a record

create

Create transcription on National Archives Catalog

Add a new transcription

delete

Delete comment on National Archives Catalog

Remove or deactivate a comment

delete

Delete contributions on National Archives Catalog

Deactivate or remove multiple contributions

delete

Delete tag on National Archives Catalog

Remove or deactivate a tag

fetch

Fetch coords on National Archives Catalog

Utility to fetch JSON data from S3 based on a provided URL

get

Get announcements on National Archives Catalog

Retrieve a list of all announcements

get

Get comment on National Archives Catalog

Retrieve a single comment by ID

get

Get comments by naid on National Archives Catalog

Retrieve comments for a specific record

get

Get comments by userid on National Archives Catalog

Retrieve comments by a specific contributor

get

Get contributions by target naid on National Archives Catalog

Retrieve contributions for a specific record ID

get

Get contributions by userid on National Archives Catalog

Retrieve contributions by user ID

get

Get justifications on National Archives Catalog

Retrieve a list of justifications for administrative actions

get

Get latest announcements on National Archives Catalog

Retrieve active announcements

get

Get record children on National Archives Catalog

Retrieve immediate children of a specified parent ID

get

Get record stats on National Archives Catalog

Retrieve statistics on user contributions

get

Get tag on National Archives Catalog

Retrieve a single tag by ID

get

Get tags by naid on National Archives Catalog

Retrieve tags for a specific record

get

Get tags by userid on National Archives Catalog

Retrieve tags by a specific contributor

get

Get transcription on National Archives Catalog

Retrieve a single transcription by ID

get

Get transcription history on National Archives Catalog

Retrieve transcription history

get

Get transcriptions by naid on National Archives Catalog

Retrieve transcriptions for a specific record

get

Get transcriptions by userid on National Archives Catalog

Retrieve transcriptions by a specific contributor

get

Get user on National Archives Catalog

Retrieve public data for a specific user

get

Get user notifications on National Archives Catalog

Retrieve user notifications

get

Get users on National Archives Catalog

Retrieve public account data (filterable by email, username, role, etc.)

Search comments on National Archives Catalog

Search for comment data

Search contributions on National Archives Catalog

Search for contribution data

Search records on National Archives Catalog

Search for records using URL parameters

Search records by comment on National Archives Catalog

Search records by comments

Search records by contribution on National Archives Catalog

Search records related to user contributions

Search records by tag on National Archives Catalog

Search records by tags

Search records by text on National Archives Catalog

Search records by other extracted text

Search records by transcription on National Archives Catalog

Search records by transcriptions

Search tags on National Archives Catalog

Search for tag data

Search transcriptions on National Archives Catalog

Search for transcription data

update

Update comment on National Archives Catalog

Update an existing comment

update

Update transcription on National Archives Catalog

Add or update a transcription

update

Update user on National Archives Catalog

Update user information

Connect National Archives Catalog to LlamaIndex via MCP

Follow these steps to wire National Archives Catalog into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 40 tools from National Archives Catalog

Why Use LlamaIndex with the National Archives Catalog MCP Server

LlamaIndex provides unique advantages when paired with National Archives Catalog through the Model Context Protocol.

Data-first architecture: LlamaIndex agents combine National Archives Catalog tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain National Archives Catalog tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query National Archives Catalog, a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what National Archives Catalog tools were called, what data was returned, and how it influenced the final answer

National Archives Catalog + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the National Archives Catalog MCP Server delivers measurable value.

Hybrid search: combine National Archives Catalog real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query National Archives Catalog to augment indexed data with live information before generating user-facing responses

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying National Archives Catalog for fresh data

Analytical workflows: chain National Archives Catalog queries with LlamaIndex's data connectors to build multi-source analytical reports

Example Prompts for National Archives Catalog in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex agent to start working with National Archives Catalog immediately.

"Search for records related to the 'Apollo 11 mission'."

"Get the immediate children of parent record 573036."

"Find all tags associated with record NaId 123456."

Troubleshooting National Archives Catalog MCP Server with LlamaIndex

Common issues when connecting National Archives Catalog to LlamaIndex through Vinkius, and how to resolve them.

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

National Archives Catalog + LlamaIndex FAQ

Common questions about integrating National Archives Catalog MCP Server with LlamaIndex.

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query National Archives Catalog tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.