Bring Web3
to LangChain
Learn how to connect Blockdaemon (Blockchain Infrastructure) to LangChain and start using 4 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
Compatible with every major AI agent and IDE
What is the Blockdaemon (Blockchain Infrastructure) MCP Server?
Connect your Blockdaemon account to any AI agent to interact with major blockchain protocols through a single, unified interface. This MCP server leverages the Ubiquity API to provide seamless access to multi-chain data.
What you can do
- Block Exploration — Retrieve block identifiers and metadata for protocols like Bitcoin, Ethereum, Solana, and Polkadot using
list_blocks. - Transaction Tracking — Query full transaction histories for specific account addresses across supported networks with
list_transactions. - UTXO Management — Fetch Unspent Transaction Outputs for UTXO-based chains (Bitcoin, Dogecoin, Litecoin) using
get_utxos. - Financial Reporting — Generate detailed financial reports for addresses on protocols like Algorand, Stellar, and Tezos via
get_financial_report. - Multi-Network Support — Switch between mainnet and testnet environments effortlessly for development and auditing.
How it works
- Subscribe to this server
- Enter your Blockdaemon API Key
- Start querying blockchain data directly from Claude, Cursor, or any MCP client
Who is this for?
- Web3 Developers — Debug transactions and verify block data without leaving your IDE.
- Data Analysts — Aggregate financial reports and transaction histories for cross-chain auditing.
- Crypto Operations — Monitor wallet activity and UTXO sets for treasury management.
Built-in capabilities (4)
Get a financial report for an address
Get Unspent Transaction Outputs (UTXOs)
Get a list of block identifiers
Get a list of transactions for an address
Why LangChain?
LangChain's ecosystem of 500+ components combines seamlessly with Blockdaemon (Blockchain Infrastructure) through native MCP adapters. Connect 4 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.
- —
The largest ecosystem of integrations, chains, and agents. combine Blockdaemon (Blockchain Infrastructure) MCP tools with 500+ LangChain components
- —
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
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LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
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Memory and conversation persistence let agents maintain context across Blockdaemon (Blockchain Infrastructure) queries for multi-turn workflows
Blockdaemon (Blockchain Infrastructure) in LangChain
Blockdaemon (Blockchain Infrastructure) and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Blockdaemon (Blockchain Infrastructure) to LangChain through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 4,000+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Blockdaemon (Blockchain Infrastructure) in LangChain
The Blockdaemon (Blockchain Infrastructure) 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. All 4 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in LangChain only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

* 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
How Vinkius secures
Blockdaemon (Blockchain Infrastructure) for LangChain
Every tool call from LangChain to the Blockdaemon (Blockchain Infrastructure) MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Which protocols are supported for financial reports?
The get_financial_report tool currently supports Algorand, Polkadot, Stellar, Tezos, and XRP.
Can I filter transactions by date?
Yes, the list_transactions tool allows you to provide 'from' and 'to' Unix timestamps to narrow down your search.
How do I check unspent balances for Bitcoin?
Use the get_utxos tool with the 'bitcoin' protocol and the specific wallet address. You can also toggle 'check_mempool' to include unconfirmed transactions.
How does LangChain connect to MCP servers?
Use 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?
All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.
Can I trace MCP tool calls in LangSmith?
Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.
MultiServerMCPClient not found
Install: pip install langchain-mcp-adapters
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