LinkAce MCP Server for OpenAI Agents SDK 9 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect LinkAce through the 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="LinkAce Assistant",
instructions=(
"You help users interact with LinkAce. "
"You have access to 9 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from LinkAce"
)
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 LinkAce MCP Server
Connect your LinkAce instance to any AI agent to automate your personal knowledge base and link archiving. This MCP server enables your agent to add new bookmarks, organize them into lists and tags, and search your entire library directly from natural language interfaces.
The OpenAI Agents SDK auto-discovers all 9 tools from LinkAce through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries LinkAce, another analyzes results, and a third generates reports, all orchestrated through the Vinkius.
What you can do
- Instant Archiving — Quickly add new URLs to your LinkAce library with custom titles and descriptions
- Deep Organization — Create and manage tags and lists to keep your bookmarks categorized and easy to find
- Semantic Discovery — Search through your entire archived library using keywords via natural language commands
- Library Maintenance — Retrieve detailed metadata for specific links or permanently remove outdated bookmarks
- Self-Hosted Support — Works with any self-hosted LinkAce instance using your personal API token
The LinkAce MCP Server exposes 9 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 LinkAce to OpenAI Agents SDK via MCP
Follow these steps to integrate the LinkAce 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 9 tools from LinkAce
Why Use OpenAI Agents SDK with the LinkAce MCP Server
OpenAI Agents SDK provides unique advantages when paired with LinkAce 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
LinkAce + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the LinkAce MCP Server delivers measurable value.
Automated workflows: build agents that query LinkAce, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents — one queries LinkAce, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through LinkAce tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query LinkAce to resolve tickets, look up records, and update statuses without human intervention
LinkAce MCP Tools for OpenAI Agents SDK (9)
These 9 tools become available when you connect LinkAce to OpenAI Agents SDK via MCP:
create_new_bookmark
Requires at least a URL. Add a new link to your archive
create_new_collection
Add a new collection (list)
create_new_tag
Add a new tag
delete_bookmark
Remove a bookmark from your archive
get_bookmark_details
Get details for a specific bookmark
list_all_bookmarks
List all bookmarks (links) in your LinkAce account
list_all_collections
List all bookmark collections (lists)
list_all_tags
List all tags used for organizing bookmarks
search_bookmarks
Search for bookmarks by keyword
Example Prompts for LinkAce in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with LinkAce immediately.
"Add 'https://www.wikipedia.org' to my LinkAce bookmarks."
"Search my LinkAce library for 'Artificial Intelligence'."
"List all my bookmark collections."
Troubleshooting LinkAce MCP Server with OpenAI Agents SDK
Common issues when connecting LinkAce to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
LinkAce + OpenAI Agents SDK FAQ
Common questions about integrating LinkAce 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 LinkAce 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.
AI-first code editor with integrated LLM-powered coding assistance.
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 LinkAce to OpenAI Agents SDK
Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.