How do I find my Meld API Key and Secret?

Log in to Meld, go to your Dashboard settings, and navigate to the API section to generate your key and secret.

What networks are supported by Meld?

Meld supports a wide range of blockchain and traditional financial networks. Use the `list_networks` tool to see the current list.

Is my asset data secure?

Absolutely. Your credentials are encrypted at rest and injected securely at runtime.

Meld MCP Server for Pydantic AI 10 tools — connect in under 2 minutes

Name: Meld
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 10 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Meld through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Meld "
            "(10 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Meld?"
    )
    print(result.data)

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

Pydantic AI validates every Meld tool response against typed schemas, catching data inconsistencies at build time. Connect 10 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

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 Pydantic AI 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 Pydantic AI via MCP

Follow these steps to integrate the Meld MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

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 with type-safe schemas

Why Use Pydantic AI with the Meld MCP Server

Pydantic AI provides unique advantages when paired with Meld through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Meld integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Meld connection logic from agent behavior for testable, maintainable code

Meld + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Meld MCP Server delivers measurable value.

Type-safe data pipelines: query Meld with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Meld tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Meld and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Meld responses and write comprehensive agent tests

Meld MCP Tools for Pydantic AI (10)

These 10 tools become available when you connect Meld to Pydantic AI 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 Pydantic AI

Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI

Common issues when connecting Meld to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Meld + Pydantic AI FAQ

Common questions about integrating Meld MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Meld MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.