Internet Archive MCP Server for LlamaIndex 10 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Internet Archive 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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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 Internet Archive. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Internet Archive?"
)
print(response)
asyncio.run(main())
* 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
About Internet Archive MCP Server
Connect the Internet Archive to any AI agent and access the world's largest digital library — 40M+ books, videos, audio recordings, software, images, and archived web pages — plus the Wayback Machine for historical website snapshots, all through natural conversation.
LlamaIndex agents combine Internet Archive tool responses with indexed documents for comprehensive, grounded answers. Connect 10 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
- Universal Search — Search across the entire Internet Archive collection for books, films, music, software, images, and web pages with complex query syntax
- Collection Browsing — Explore curated collections like Prelinger Archives, Project Gutenberg, NASA images, TV news, and more
- Media Type Filtering — Search specifically for texts, movies, audio, software, images, or datasets
- Creator Search — Find all works by a specific author, director, musician, or organization
- Historical Date Range — Discover content from specific decades or year ranges
- Item Metadata — Get complete details for any item including description, subjects, collections, file formats, and download links
- File Listings — See all downloadable files for an item with formats (PDF, EPUB, MP4, MP3) and sizes
- User Reviews — Read community reviews and ratings for archived items
- Wayback Machine — Check if any URL has been archived and find the closest snapshot date
- View Statistics — Track popularity and access counts for archived items
The Internet Archive MCP Server exposes 10 tools through the Vinkius. Connect it to LlamaIndex in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Internet Archive to LlamaIndex via MCP
Follow these steps to integrate the Internet Archive MCP Server with LlamaIndex.
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 10 tools from Internet Archive
Why Use LlamaIndex with the Internet Archive MCP Server
LlamaIndex provides unique advantages when paired with Internet Archive through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Internet Archive tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Internet Archive tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Internet Archive, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Internet Archive tools were called, what data was returned, and how it influenced the final answer
Internet Archive + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Internet Archive MCP Server delivers measurable value.
Hybrid search: combine Internet Archive real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Internet Archive 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 Internet Archive for fresh data
Analytical workflows: chain Internet Archive queries with LlamaIndex's data connectors to build multi-source analytical reports
Internet Archive MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Internet Archive to LlamaIndex via MCP:
get_item_files
Items may contain multiple files in various formats (PDF, EPUB, MP4, MP3, JPEG, etc.). The identifier is the unique item ID from search results or the item URL. Use this to see what formats are available for download. Files can be downloaded from: https://archive.org/download/{identifier}/{filename} Get the file listing for a specific Internet Archive item
get_item_metadata
Returns: title, creator, date, description, subjects, collection(s), publisher, language, license, download stats, reviews, and complete file listing with formats and sizes. The identifier is obtained from search results or can be found in the item URL (e.g., from https://archive.org/details/big_buck_bunny, the identifier is "big_buck_bunny"). Use this to get comprehensive information about a specific item before downloading or citing it. Get complete metadata and details for a specific Internet Archive item
get_item_reviews
Each review includes reviewer name, star rating, review text, and submission date. Use this to understand community reception and quality assessment of items. Not all items have reviews — community items tend to have more user feedback. Get user reviews for a specific Internet Archive item
get_views_stats
Returns total views and, when available, daily view counts and geographic breakdown. Use this to measure the popularity and reach of archived content. The identifier is the unique item ID from search results or the item URL. Get view count statistics for an Internet Archive item
search
The query parameter supports complex search syntax: AND, OR, NOT, wildcards (*), phrase matching ("..."), and field-specific searches (title:"X", subject:"Y"). Returns item identifiers, titles, media types, creators, dates, and collection info. Use this for broad searches across all media types. Optional fields parameter specifies which fields to return (comma-separated: "identifier,title,mediatype,creator,date,collection"). Default returns 25 rows; use rows to get up to 100 per page. Use page for pagination. Sort options: "date desc", "date asc", "title asc", "title desc", "creator asc", "downloads desc". Example queries: "moon landing", "subject:world war 2", "collection:prelinger". Search the Internet Archive for books, videos, audio, software, images, and more
search_by_collection
Common collections: "prelinger" (Prelinger Archives), "fedflix" (Federal government films), "gutenberg" (Project Gutenberg ebooks), "opensource_movies" (community films), "netlabels" (netlabel music), "softwarelibrary" (classic software), "tv" (TV news archive), "pubmed" (medical journal articles), "nasa" (NASA images and videos), "americanlibraries" (library collections). Returns items within that collection with their identifiers, titles, and metadata. Use this to browse or search within curated collections. Search for items in a specific Internet Archive collection
search_by_creator
The creator name should match how it appears in the item metadata (may be full name or organization name). Use this to find the complete works of an author, all films by a director, or all content from an organization. Example creators: "George Orwell", "Charlie Chaplin", "NASA", "Project Gutenberg". Search for items created by a specific person or organization
search_by_date_range
Combines a search query with year filtering to find historical content from a specific era. Use this to find content from specific decades or periods. Example: query="science fiction", startYear="1950", endYear="1959" finds 1950s sci-fi. The query parameter can be any valid search term. Years should be 4-digit format. Search for items within a specific year range
search_by_mediatype
Media types include: "texts" (books, articles, documents), "movies" (films, videos, TV clips), "audio" (music, podcasts, radio, audiobooks), "software" (classic PC games, applications), "image" (photos, artwork, maps), "dataset" (data files), "web" (web pages). Use this when you want to find only items of a specific format. Example: mediatype="movies" returns only video content. Search for items of a specific media type in the Internet Archive
wayback_availability
Returns the closest (most recent) archived snapshot with its timestamp and availability status. Use this to find archived versions of websites, verify if a page is preserved, or get the date of the most recent snapshot. The archived URL can be accessed at: https://web.archive.org/web/{timestamp}/{original_url}. Example: For https://example.com, returns the closest archived snapshot date and URL. Check if a URL has been archived by the Wayback Machine and find available snapshots
Example Prompts for Internet Archive in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Internet Archive immediately.
"Search for public domain films from the 1940s."
"Check if https://example.com has been archived."
"Show me all NASA images available."
Troubleshooting Internet Archive MCP Server with LlamaIndex
Common issues when connecting Internet Archive to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpInternet Archive + LlamaIndex FAQ
Common questions about integrating Internet Archive MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
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Connect Internet Archive to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.