Meltwater MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Meltwater 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="Meltwater Assistant",
instructions=(
"You help users interact with Meltwater. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Meltwater"
)
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 Meltwater MCP Server
Connect your Meltwater account to any AI agent and take full control of your media intelligence and social monitoring through natural conversation.
The OpenAI Agents SDK auto-discovers all 10 tools from Meltwater through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Meltwater, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Content Search — Perform keyword searches across news and social media streams in real-time
- Social Monitoring — Retrieve detailed metadata, sentiment, and reach for specific mentions
- Analytics & Reporting — Access aggregated performance metrics and AI-driven insights for your searches
- Organization — Manage tags, folders, and saved searches to streamline your monitoring workflow
- Data Connectivity — List media sources and available content exports directly from your agent
The Meltwater MCP Server exposes 10 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 Meltwater to OpenAI Agents SDK via MCP
Follow these steps to integrate the Meltwater 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 10 tools from Meltwater
Why Use OpenAI Agents SDK with the Meltwater MCP Server
OpenAI Agents SDK provides unique advantages when paired with Meltwater 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
Meltwater + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Meltwater MCP Server delivers measurable value.
Automated workflows: build agents that query Meltwater, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Meltwater, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Meltwater tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Meltwater to resolve tickets, look up records, and update statuses without human intervention
Meltwater MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect Meltwater to OpenAI Agents SDK via MCP:
get_media_insights
Get high-level media insights
get_mention_details
Get details for a specific mention
get_search_analytics
Get analytics for a search
get_search_details
Get details for a saved search
list_content_exports
List available content exports
list_folders
List all account folders
list_media_sources
List tracked media sources
list_saved_searches
List all saved searches
list_tags
List all organizational tags
search_content
Search news and social media content
Example Prompts for Meltwater in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Meltwater immediately.
"Search for recent news about 'Artificial Intelligence'."
"What is the sentiment for my brand search ID 123?"
"List all saved searches in my Meltwater account."
Troubleshooting Meltwater MCP Server with OpenAI Agents SDK
Common issues when connecting Meltwater to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Meltwater + OpenAI Agents SDK FAQ
Common questions about integrating Meltwater 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 Meltwater 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 Meltwater to OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.