Internet Archive Search MCP Server for OpenAI Agents SDK 12 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Internet Archive Search through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="Internet Archive Search Assistant",
instructions=(
"You help users interact with Internet Archive Search. "
"You have access to 12 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Internet Archive Search"
)
print(result.final_output)
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 Search MCP Server
Connect Internet Archive Search to any AI agent and perform advanced searches across the world's largest digital library — 40M+ items including books, films, music, software, and images.
The OpenAI Agents SDK auto-discovers all 12 tools from Internet Archive Search through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Internet Archive Search, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Universal Search — Complex queries with AND, OR, NOT, wildcards, field-specific searches
- Collection Browsing — Explore curated collections (Prelinger, Gutenberg, NASA, TV News)
- Media Type Filtering — Search by format: texts, movies, audio, software, images
- Creator/Author Search — Find all works by a specific person or organization
- Date Range Search — Discover content from specific decades or year ranges
- Subject Search — Find items by curated topic keywords
- Top Downloads — See what's most popular across the archive
- Language Search — Find content in specific languages
- Publisher Search — Find all content from specific publishers
- Recent Items — Discover newly uploaded content
- Faceted Search — Analyze search results by category distributions
The Internet Archive Search MCP Server exposes 12 tools through the Vinkius. Connect it to OpenAI Agents SDK 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 Search to OpenAI Agents SDK via MCP
Follow these steps to integrate the Internet Archive Search MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 12 tools from Internet Archive Search
Why Use OpenAI Agents SDK with the Internet Archive Search MCP Server
OpenAI Agents SDK provides unique advantages when paired with Internet Archive Search through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Internet Archive Search + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Internet Archive Search MCP Server delivers measurable value.
Automated workflows: build agents that query Internet Archive Search, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Internet Archive Search, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Internet Archive Search tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Internet Archive Search to resolve tickets, look up records, and update statuses without human intervention
Internet Archive Search MCP Tools for OpenAI Agents SDK (12)
These 12 tools become available when you connect Internet Archive Search to OpenAI Agents SDK via MCP:
faceted_search
The facets parameter uses JSON faceting syntax (e.g., "mediatype:{type:terms,field:mediatype}"). Use this to understand the composition of search results by categories like media type, collection, or creator. Search with faceted results for category analysis
search
Supports AND, OR, NOT, wildcards (*), and field searches. Use this for broad discovery. Optional: fields (e.g., "identifier,title,mediatype"), rows (1-100), page for pagination, and sort (e.g., "date desc"). Universal search across 40M+ items in the Internet Archive
search_by_collection
Use this to explore themed collections. Search items within a specific Internet Archive collection
search_by_creator
Creator names should match item metadata. Examples: "George Orwell", "NASA", "Charlie Chaplin", "Project Gutenberg". Use this to find the complete works of an author or content from an organization. Search for all items by a specific creator or author
search_by_date_range
Combines a text query with year filtering. Example: query="science fiction", startYear="1950", endYear="1959" finds 1950s sci-fi. Use this for historical content discovery. Search for items within a specific year range
search_by_language
Examples: "English", "French", "Spanish", "Portuguese", "German". Use this to find content in a specific language. Search for items in a specific language
search_by_mediatype
Use this to filter by format type. Search for items of a specific media type
search_by_publisher
Examples: "Penguin Books", "Marvel Comics", "National Geographic". Use this to find all content from a specific publisher. Search for items by publisher name
search_by_subject
Subjects are curated topics assigned to items. Examples: "world war 2", "science fiction", "civil rights", "jazz music". Use this to find content about specific topics across all collections. Search for items by subject or topic
search_fulltext
Returns identifier, title, and description. Use this when you need to find items containing specific terms in their descriptions. Limited to 25 results by default. Full-text search across item descriptions and metadata
search_recent
Use this to discover new content added to the archive. Useful for staying current with new additions. Get the most recently uploaded items to the Internet Archive
search_top_downloads
Optional mediatype filter narrows to a specific format (texts, movies, audio, software). Use this to find popular content. Get the most downloaded items from the Internet Archive
Example Prompts for Internet Archive Search in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Internet Archive Search immediately.
"Search for public domain films from the 1940s."
"Show me the most downloaded items."
"Search for NASA images."
Troubleshooting Internet Archive Search MCP Server with OpenAI Agents SDK
Common issues when connecting Internet Archive Search to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Internet Archive Search + OpenAI Agents SDK FAQ
Common questions about integrating Internet Archive Search MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect Internet Archive Search with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
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GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Internet Archive Search to OpenAI Agents SDK
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.