Meld MCP Server for LlamaIndex 10 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Meld as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to Meld. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Meld?"
)
print(response)
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 Meld MCP Server
Connect your Meld account to any AI agent and take full control of your digital asset intelligence and blockchain operations through natural conversation.
LlamaIndex agents combine Meld tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
What you can do
- Network Orchestration — List and inspect supported blockchain and financial networks and their statuses
- Asset Management — Retrieve detailed metadata and real-time pricing for cryptocurrencies and digital tokens
- Rate Tracking — Access real-time exchange rates between fiat currencies and various digital assets
- Wallet & Transaction Monitoring — List linked wallets, fetch balances, and track recent transaction histories securely
- Market Research — Search for specific digital assets by name or symbol to get current market data
The Meld MCP Server exposes 10 tools through the Vinkius. Connect it to LlamaIndex 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 Meld to LlamaIndex via MCP
Follow these steps to integrate the Meld MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 10 tools from Meld
Why Use LlamaIndex with the Meld MCP Server
LlamaIndex provides unique advantages when paired with Meld through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Meld tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Meld tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Meld, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Meld tools were called, what data was returned, and how it influenced the final answer
Meld + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Meld MCP Server delivers measurable value.
Hybrid search: combine Meld real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Meld to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Meld for fresh data
Analytical workflows: chain Meld queries with LlamaIndex's data connectors to build multi-source analytical reports
Meld MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Meld to LlamaIndex via MCP:
get_account_info
Get account information
get_asset
Get details for a specific asset
get_exchange_rates
Get real-time exchange rates
get_network
Get details for a specific network
get_wallet_details
Get details for a specific wallet
list_assets
List all digital assets
list_networks
List all digital asset networks
list_transactions
List recent transactions
list_wallets
List all linked wallets
search_assets
Search for digital assets
Example Prompts for Meld in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Meld immediately.
"List all supported blockchain networks in Meld."
"Get current exchange rate for BTC to USD."
"Show recent transactions for my account."
Troubleshooting Meld MCP Server with LlamaIndex
Common issues when connecting Meld to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpMeld + LlamaIndex FAQ
Common questions about integrating Meld MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect Meld 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 Meld to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.