Compatible with every major AI agent and IDE
What is the Library of Congress MCP Server?
Connect your AI agent to the Library of Congress (LOC) and explore the vast digital archives of the United States' oldest federal cultural institution. Access millions of records, from historical newspapers to rare maps and sound recordings.
What you can do
- Global Search — Search across the entire LOC catalog including items, legislation, and blogs using the
searchtool. - Digital Collections — Browse and list all available digital collections or drill down into specific ones like the 'Abraham Lincoln Papers' using
list_collectionsandget_collection_items. - Format-Specific Discovery — Filter your research by specific media types such as maps, audio, or photos with
search_format. - Deep Bibliographic Research — Retrieve detailed metadata and digital resource links for specific items using
get_item. - OCR & Text Analysis — Access full-text OCR, word coordinates, and context snippets for digitized documents via
get_text_service. - Technical Image Metadata — Fetch IIIF technical data for high-resolution images using
get_image_info.
How it works
- Subscribe to this server
- Enter your Library of Congress API Key (optional but recommended for higher rate limits)
- Start researching historical data directly from your MCP-compatible client
Who is this for?
- Researchers & Historians — Instantly find primary sources and bibliographic data without manual catalog navigation.
- Educators & Students — Access digitized manuscripts and historical records for curriculum development.
- Data Scientists — Utilize OCR services and metadata for large-scale historical text analysis.
Built-in capabilities (8)
List items within a specific collection
json for a specific image identifier. Get technical metadata about an image (IIIF)
Get detailed bibliographic data for a single item
g., a specific page of a newspaper) using resource_id. Get access to discrete digitized files
Access full-text OCR, word coordinates, and context snippets
List all digital collections
using a keyword query. Search the entire Library of Congress website
g., maps, photos, audio). Search items of a specific format
Why VS Code Copilot?
GitHub Copilot Agent mode brings Library of Congress data directly into your VS Code workflow. With a project-scoped config, the entire team shares access to 8 tools. Copilot queries live data, generates typed code, and writes tests from actual API responses, all without leaving the editor.
- —
VS Code is used by over 70% of developers. adding MCP tools to Copilot means your team can leverage external data without leaving their primary editor
- —
Project-scoped MCP configs (
.vscode/mcp.json) let you commit server configurations to your repository, ensuring the entire team shares the same tool access - —
Copilot's Agent mode integrates MCP tools seamlessly with file editing, terminal commands, and workspace search in a single agentic loop
- —
GitHub's enterprise compliance and audit features extend to MCP tool usage, providing visibility into how AI interacts with external services
Library of Congress in VS Code Copilot
Library of Congress and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Library of Congress to VS Code Copilot 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 Library of Congress in VS Code Copilot
The Library of Congress 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 8 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in VS Code Copilot 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
Library of Congress for VS Code Copilot
Every tool call from VS Code Copilot to the Library of Congress 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 items specifically in a format like 'maps' or 'audio'?
Yes! Use the search_format tool and specify the format parameter (e.g., 'maps', 'photos', 'audio') along with your query to get targeted results.
How do I get the full OCR text of a digitized document?
You can use the get_text_service tool. Provide the document segment path and set the full_text parameter to 1 to retrieve the complete OCR transcript.
Can I list items from a specific collection like the Abraham Lincoln papers?
Yes. Use the get_collection_items tool with the collection slug (e.g., 'abraham-lincoln-papers') to see all items contained within that specific archive.
Which VS Code version supports MCP?
MCP support requires VS Code 1.99 or later with the GitHub Copilot extension. Ensure both are updated to the latest version. Older versions of Copilot may not expose the Agent mode toggle.
How do I switch to Agent mode?
Open the Copilot Chat panel and look for two mode options: "Ask" and "Agent". Click "Agent" to enable autonomous tool calling. In Ask mode, Copilot provides conversational answers but cannot invoke MCP tools.
Can I restrict which MCP tools Copilot can access?
Yes. VS Code shows a tool consent dialog before any MCP tool is invoked for the first time. You can also configure tool access policies at the organization level through GitHub Copilot settings.
Does MCP work in VS Code Remote or Codespaces?
Yes. MCP servers configured via .vscode/mcp.json work in Remote SSH, WSL, and GitHub Codespaces environments. The MCP connection is established from the remote host, so ensure the server URL is accessible from that environment.
MCP tools not available
Ensure you are in Agent mode in Copilot Chat. MCP tools only appear in Agent mode.
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