Bring Historical Records
to Mastra AI
Learn how to connect National Archives Catalog to Mastra AI and start using 40 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the 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.
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.
How it works
- Subscribe to this server
- Enter your NARA API Key
- Start researching history from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Historians & Researchers — instantly retrieve primary source documents and metadata without manual catalog navigation.
- Educators — find relevant historical photos and records to build curriculum materials directly from a chat interface.
- Genealogists — search through millions of records and transcriptions to find family history data and archival links.
Built-in capabilities (40)
Add a new comment to a record
Add a new tag to a record
Add a new transcription
Remove or deactivate a comment
Deactivate or remove multiple contributions
Remove or deactivate a tag
Utility to fetch JSON data from S3 based on a provided URL
Retrieve a list of all announcements
Retrieve a single comment by ID
Retrieve comments for a specific record
Retrieve comments by a specific contributor
Retrieve contributions for a specific record ID
Retrieve contributions by user ID
Retrieve a list of justifications for administrative actions
Retrieve active announcements
Retrieve immediate children of a specified parent ID
Retrieve statistics on user contributions
Retrieve a single tag by ID
Retrieve tags for a specific record
Retrieve tags by a specific contributor
Retrieve a single transcription by ID
Retrieve transcription history
Retrieve transcriptions for a specific record
Retrieve transcriptions by a specific contributor
Retrieve public data for a specific user
Retrieve user notifications
Retrieve public account data (filterable by email, username, role, etc.)
Search for comment data
Search for contribution data
Search for records using URL parameters
Search records by comments
Search records related to user contributions
Search records by tags
Search records by other extracted text
Search records by transcriptions
Search for tag data
Search for transcription data
Update an existing comment
Add or update a transcription
Update user information
Why Mastra AI?
Mastra's agent abstraction provides a clean separation between LLM logic and National Archives Catalog tool infrastructure. Connect 40 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
- —
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add National Archives Catalog without touching business code
- —
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
- —
TypeScript-native: full type inference for every National Archives Catalog tool response with IDE autocomplete and compile-time checks
- —
One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
National Archives Catalog in Mastra AI
National Archives Catalog and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect National Archives Catalog to Mastra AI through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 4,000+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for National Archives Catalog in Mastra AI
The National Archives Catalog MCP Server runs on Vinkius-managed infrastructure inside AWS — a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts. All 40 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in Mastra AI only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
How Vinkius secures
National Archives Catalog for Mastra AI
Every tool call from Mastra AI to the National Archives Catalog MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I search for records specifically by the text in their transcriptions?
Yes. Use the search_records_by_transcription tool. This is particularly useful for handwritten documents that have been digitized and transcribed by volunteers.
How do I see the individual items within a larger archival series?
Use the get_record_children tool with the parent NaId. This will list the immediate sub-records or files contained within that specific collection or series.
Can I contribute to the archives by adding tags via the AI?
Yes, the create_tag tool allows you to add descriptive tags to a record using its National Archives Identifier (NaId), helping improve searchability for the community.
How does Mastra AI connect to MCP servers?
Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
Can Mastra agents use tools from multiple servers?
Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
Does Mastra support workflow orchestration?
Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.
createMCPClient not exported
Install: npm install @mastra/mcp
Explore More MCP Servers
View all →
Guestmeter
6 toolsAutomate guest feedback collection and reputation management via Guestmeter directly from any AI agent.
Weiban Assistant
10 toolsCustomer relationship management for WeCom — manage leads, customers, and group chats via AI.
MagicDrip
12 toolsRun LinkedIn outreach campaigns on autopilot with connection requests, follow-ups, and message sequences that feel personal.
Funil de Vendas
12 toolsVisualize your sales funnel, track deal stages, and manage your pipeline with a CRM designed for the Brazilian market.