Mela MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 12 tools to Create Activity, Get Accounting Data, Get Activity, and more
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Mela through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
Ask AI about this App Connector for OpenAI Agents SDK
The Mela app connector for OpenAI Agents SDK is a standout in the Communication Messaging category — giving your AI agent 12 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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="Mela Assistant",
instructions=(
"You help users interact with Mela. "
"You have access to 12 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Mela"
)
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 Mela MCP Server
The Mela MCP server connects your AI agent directly to your workspace. Send channel messages, query project status, and summarize daily team updates without ever leaving your editor.
The OpenAI Agents SDK auto-discovers all 12 tools from Mela through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Mela, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
The Mela 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.
All 12 Mela tools available for OpenAI Agents SDK
When OpenAI Agents SDK connects to Mela through Vinkius, your AI agent gets direct access to every tool listed below — spanning team-chat, project-updates, workspace-sync, 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.
Create a new job site or activity
Retrieve cost and accounting data for an activity
Retrieve details for a specific activity
Retrieve information about the current user
List all job sites/activities
Retrieve all checklists associated with an activity
List teams in the workspace
List all workspace members
Track material consumption on-site
Record man-hours for an activity
Send a text update or note to an activity feed
Change the status of an activity
Connect Mela to OpenAI Agents SDK via MCP
Follow these steps to wire Mela into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install the SDK
pip install openai-agents in your Python environmentReplace the token
[YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.comRun the script
python agent.pyExplore tools
Why Use OpenAI Agents SDK with the Mela MCP Server
OpenAI Agents SDK provides unique advantages when paired with Mela 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
Mela + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Mela MCP Server delivers measurable value.
Automated workflows: build agents that query Mela, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Mela, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Mela tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Mela to resolve tickets, look up records, and update statuses without human intervention
Example Prompts for Mela in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Mela immediately.
"Send an update to the 'Engineering' channel saying the build is fixed."
"Summarize the latest tasks completed in Project Alpha."
"List all team members currently online."
Troubleshooting Mela MCP Server with OpenAI Agents SDK
Common issues when connecting Mela to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Mela + OpenAI Agents SDK FAQ
Common questions about integrating Mela 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.