Bring Web3 Authentication
to LangChain
Learn how to connect Dynamic (Web3 Auth) to LangChain and start using 8 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the Dynamic (Web3 Auth) MCP Server?
Connect your Dynamic environment to any AI agent to streamline Web3 user management and security workflows through natural conversation.
What you can do
- User Management — Fetch detailed user profiles or permanently delete users from specific environments using
get_useranddelete_user. - Security & Compliance — Use
check_sanctionsto verify if specific wallet addresses are sanctioned across multiple chains (ETH, SOL, EVM, etc.). - Session Control — Instantly terminate active user sessions with
revoke_sessionto maintain environment security. - Infrastructure Monitoring — List active embedded wallet versions and configured webhooks to audit your auth setup.
- Financial Insights — Retrieve real-time token balances for users across different networks using
get_token_balances.
How it works
- Subscribe to this server
- Enter your Dynamic API Token
- Start managing your Web3 auth layer from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Web3 Developers — Debug user profiles and check token balances directly from your code editor.
- Security & Ops Teams — Audit wallet sanctions and revoke suspicious sessions instantly without opening the dashboard.
- Product Managers — Monitor webhook configurations and available event types to coordinate feature releases.
Built-in capabilities (8)
Check wallet sanctions
Delete a user from an environment
Get active embedded wallet versions
Get available event types
Get token balances for a user
Get a user by ID in an environment
Get configured webhooks
Revoke an active user session
Why LangChain?
LangChain's ecosystem of 500+ components combines seamlessly with Dynamic (Web3 Auth) through native MCP adapters. Connect 8 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.
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The largest ecosystem of integrations, chains, and agents. combine Dynamic (Web3 Auth) MCP tools with 500+ LangChain components
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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 Dynamic (Web3 Auth) queries for multi-turn workflows
Dynamic (Web3 Auth) in LangChain
Dynamic (Web3 Auth) and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Dynamic (Web3 Auth) 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 Dynamic (Web3 Auth) in LangChain
The Dynamic (Web3 Auth) 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 8 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
Dynamic (Web3 Auth) for LangChain
Every tool call from LangChain to the Dynamic (Web3 Auth) MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I check if a specific wallet address is sanctioned before onboarding a user?
Yes! Use the check_sanctions tool by providing the wallet address and the chain (e.g., ETH, SOL). The agent will return the sanction status for that environment.
How do I retrieve the token balances for a user across different networks?
Simply use the get_token_balances tool. You'll need to provide the environment ID, user ID, and an array of balance requests specifying the address and chain.
Is it possible to terminate a suspicious user session immediately?
Yes. Use the revoke_session tool with the specific session ID. This will instantly invalidate the session and disconnect the user.
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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