How do I find my Alchemy API Key?

Log in to your [**Alchemy dashboard**](https://dashboard.alchemy.com/), create an app for your desired network, and you will find your API Key in the 'API Key' section. Copy and paste it below.

Which networks are supported?

Alchemy supports Ethereum, Polygon, Arbitrum, Optimism, and more. Ensure you provide the correct network slug (e.g., 'eth-mainnet') in the configuration.

Can the agent show NFT metadata?

Yes. The `get_owned_nfts` tool retrieves the list of NFTs owned by an address, including titles and token IDs from the metadata.

Alchemy MCP Server for CrewAI 6 tools — connect in under 2 minutes

Name: Alchemy
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 6 Tools Framework

Connect your CrewAI agents to Alchemy through Vinkius, pass the Edge URL in the `mcps` parameter and every Alchemy tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

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Vinkius supports streamable HTTP and SSE.

python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Alchemy Specialist",
    goal="Help users interact with Alchemy effectively",
    backstory=(
        "You are an expert at leveraging Alchemy tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in Alchemy "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 6 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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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 Alchemy MCP Server

Empower your AI agent to orchestrate your entire web3 research and blockchain auditing workflow with Alchemy, the comprehensive platform for decentralized data. By connecting Alchemy to your agent, you transform complex RPC querying into a natural conversation. Your agent can instantly retrieve wallet balances, audit NFT ownership, and query transaction receipts without you ever touching a block explorer. Whether you are conducting investment research or monitoring digital assets, your agent acts as a real-time blockchain analyst, ensuring your data is always precise and up-to-the-minute.

When paired with CrewAI, Alchemy becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Alchemy tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

What you can do

Wallet Auditing — Retrieve high-resolution balances for any Ethereum or compatible address, including native and ERC-20 tokens.
NFT Oversight — Audit the NFT collection for specific owners to maintain a clear view of digital asset distribution and metadata.
Transaction Intelligence — Query real-time transaction receipts to understand the status and outcome of blockchain events instantly.
Network Discovery — Retrieve the latest block numbers to assist in regional and temporal blockchain planning.
Operational Monitoring — Check API status to ensure your web3 research workflow is always operational across supported networks.

The Alchemy MCP Server exposes 6 tools through the Vinkius. Connect it to CrewAI 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 Alchemy to CrewAI via MCP

Follow these steps to integrate the Alchemy MCP Server with CrewAI.

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 6 tools from Alchemy

Why Use CrewAI with the Alchemy MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Alchemy through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

Alchemy + CrewAI Use Cases

Practical scenarios where CrewAI combined with the Alchemy MCP Server delivers measurable value.

Automated multi-step research: a reconnaissance agent queries Alchemy for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries Alchemy, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Alchemy tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries Alchemy against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Alchemy MCP Tools for CrewAI (6)

These 6 tools become available when you connect Alchemy to CrewAI via MCP:

check_api_status

Check if the Alchemy service is operational

get_latest_block_number

Get the number of the most recent block

get_owned_nfts

Get all NFTs owned by a specific address

get_token_balances

Get all ERC-20 token balances for a specific address

get_transaction_receipt

Get the receipt of a transaction by hash

get_wallet_balance

Get the balance of an Ethereum address in wei

Example Prompts for Alchemy in CrewAI

Ready-to-use prompts you can give your CrewAI agent to start working with Alchemy immediately.

"What is the balance of Ethereum address '0x123...' using Alchemy?"

"Show all NFTs owned by '0x456...'."

"What is the latest block number on 'eth-mainnet'?"

Troubleshooting Alchemy MCP Server with CrewAI

Common issues when connecting Alchemy to CrewAI through the Vinkius, and how to resolve them.

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

Alchemy + CrewAI FAQ

Common questions about integrating Alchemy MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.