Messari 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 Messari 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="Messari Assistant",
instructions=(
"You help users interact with Messari. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Messari"
)
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 Messari MCP Server
Connect your Messari account to any AI agent and access deep insights into the crypto ecosystem through natural conversation.
The OpenAI Agents SDK auto-discovers all 10 tools from Messari through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Messari, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Asset Research — List all available crypto assets and fetch detailed metadata and qualitative profiles
- Quantitative Metrics — Retrieve real-time pricing, market cap, and supply data for thousands of tokens
- Market Monitoring — Enumerate crypto exchanges and trading pairs to understand market depth
- News & Intelligence — Stay updated with an aggregated feed of crypto news and significant governance events
- Deep Inspection — Query historical timeseries and performance data for specific blockchain protocols
The Messari 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 Messari to OpenAI Agents SDK via MCP
Follow these steps to integrate the Messari 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 Messari
Why Use OpenAI Agents SDK with the Messari MCP Server
OpenAI Agents SDK provides unique advantages when paired with Messari 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
Messari + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Messari MCP Server delivers measurable value.
Automated workflows: build agents that query Messari, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Messari, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Messari tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Messari to resolve tickets, look up records, and update statuses without human intervention
Messari MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect Messari to OpenAI Agents SDK via MCP:
get_asset_details
g. btc, eth). Get details for a crypto asset
get_asset_market_data
Get market data for an asset
get_asset_metrics
Get metrics for a crypto asset
get_asset_profile
Get asset profile
get_crypto_news
Get crypto news feed
list_assets
List crypto assets
list_crypto_exchanges
List supported exchanges
list_crypto_markets
List all crypto markets
list_governance_events
List governance events
search_assets
Search for crypto assets
Example Prompts for Messari in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Messari immediately.
"Show current metrics for Bitcoin (BTC)."
"What are the latest crypto news headlines?"
"List all DeFi assets tracked by Messari."
Troubleshooting Messari MCP Server with OpenAI Agents SDK
Common issues when connecting Messari to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Messari + OpenAI Agents SDK FAQ
Common questions about integrating Messari 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 Messari 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 Messari to OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.