Messari MCP Server for LangChain 10 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Messari through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MultiServerMCPClient({
"messari": {
"transport": "streamable_http",
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
}
}) as client:
tools = client.get_tools()
agent = create_react_agent(
ChatOpenAI(model="gpt-4o"),
tools,
)
response = await agent.ainvoke({
"messages": [{
"role": "user",
"content": "Using Messari, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
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.
LangChain's ecosystem of 500+ components combines seamlessly with Messari through native MCP adapters. Connect 10 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
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 LangChain 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 LangChain via MCP
Follow these steps to integrate the Messari MCP Server with LangChain.
Install dependencies
Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save the code and run python agent.py
Explore tools
The agent discovers 10 tools from Messari via MCP
Why Use LangChain with the Messari MCP Server
LangChain provides unique advantages when paired with Messari through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Messari MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across Messari queries for multi-turn workflows
Messari + LangChain Use Cases
Practical scenarios where LangChain combined with the Messari MCP Server delivers measurable value.
RAG with live data: combine Messari tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Messari, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Messari tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Messari tool call, measure latency, and optimize your agent's performance
Messari MCP Tools for LangChain (10)
These 10 tools become available when you connect Messari to LangChain 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 LangChain
Ready-to-use prompts you can give your LangChain 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 LangChain
Common issues when connecting Messari to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersMessari + LangChain FAQ
Common questions about integrating Messari MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
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 LangChain
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.