Can I read and create project memos?

Yes. Create text memos, attach files, and organize them within specific project folders.

What API does Memo Meister use?

Memo Meister uses a custom API Key header against a GraphQL endpoint at `api.memomeister.com/graphql`.

Can I search for specific field reports?

Yes. Query the GraphQL API to search memos by tags, content, or project assignment.

INSTANT PLUG AND PLAY

Memo Meister MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 11 tools to Add Memo Comment, Create Memo, Delete Memo, and more

Name: Memo Meister
Availability: InStock
Author: Vinkius

Built by Vinkius GDPR 11 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Memo Meister through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Use with Your AI Agent

Ask AI about this App Connector for OpenAI Agents SDK

Open in ChatGPT Open in Claude Open in Perplexity

The Memo Meister app connector for OpenAI Agents SDK is a standout in the Document Management category — giving your AI agent 11 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

python

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="Memo Meister Assistant",
            instructions=(
                "You help users interact with Memo Meister. "
                "You have access to 11 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Memo Meister"
        )
        print(result.final_output)

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Memo Meister MCP Server

Connect your Memo Meister account to any AI agent and manage field documentation and project files through natural conversation.

The OpenAI Agents SDK auto-discovers all 11 tools from Memo Meister through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Memo Meister, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

Project Management — Create and manage project folders and workspaces
Memo Management — Create, read, and organize documentation memos
File Handling — Access images, PDFs, and field reports attached to memos
Task Tracking — Monitor task statuses and comments within projects
Search — Query projects and memos using GraphQL

The Memo Meister MCP Server exposes 11 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.

All 11 Memo Meister tools available for OpenAI Agents SDK

When OpenAI Agents SDK connects to Memo Meister through Vinkius, your AI agent gets direct access to every tool listed below — spanning field-documentation, smart-notes, construction-reports, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

add_memo_comment

Add a comment to a memo

create_memo

Create a new memo in a project

delete_memo

Delete a memo

get_me

Get information about the current authenticated user

get_memo

Get details of a specific memo

get_project

Get details of a specific project

list_memo_comments

List comments on a memo

list_memo_files

List files attached to a memo

list_memos

List memos (notes) in a project

list_projects

List all projects (memosets) in MemoMeister

update_memo

Update an existing memo

Connect Memo Meister to OpenAI Agents SDK via MCP

Follow these steps to wire Memo Meister into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

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 11 tools from Memo Meister

Why Use OpenAI Agents SDK with the Memo Meister MCP Server

OpenAI Agents SDK provides unique advantages when paired with Memo Meister 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

Memo Meister + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Memo Meister MCP Server delivers measurable value.

Automated workflows: build agents that query Memo Meister, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries Memo Meister, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through Memo Meister tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query Memo Meister to resolve tickets, look up records, and update statuses without human intervention

Example Prompts for Memo Meister in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Memo Meister immediately.

"Show recent memos in the 'Downtown Office Build' project."

"Create a new memo for the daily site report."

"List all open tasks assigned to me across projects."

Troubleshooting Memo Meister MCP Server with OpenAI Agents SDK

Common issues when connecting Memo Meister to OpenAI Agents SDK through the Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Memo Meister + OpenAI Agents SDK FAQ

Common questions about integrating Memo Meister MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use 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?

Yes. Pass a list of 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?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.