Bring Account Abstraction
to OpenAI Agents SDK
Learn how to connect Biconomy (Account Abstraction) to OpenAI Agents SDK and start using 3 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 Biconomy (Account Abstraction) MCP Server?
Connect your Biconomy developer account to any AI agent to streamline Web3 operations through Account Abstraction. This server enables agents to handle complex on-chain flows with ease.
What you can do
- Supertransaction Quotes — Generate optimized quotes for complex transaction flows, including gasless (sponsored) options using the
get_quotetool. - Transaction Execution — Submit signed payloads for execution on-chain via Biconomy's robust infrastructure using
execute_supertx. - Status Tracking — Monitor the real-time progress of your Supertransactions using the
get_explorer_statustool. - Flexible Account Modes — Full support for Smart Accounts, EOA, and EOA-7702 account modes.
How it works
- Subscribe to this server
- Enter your Biconomy API Key
- Start orchestrating Web3 intents from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Web3 Developers — Rapidly prototype and test complex transaction flows without manual script writing.
- dApp Operators — Automate maintenance tasks and user operations using natural language.
- DeFi Power Users — Execute multi-step transactions with optimized gas and simplified signing.
Built-in capabilities (3)
Requires the full quote object with signatures added to payloadToSign. Execute a signed Supertransaction
Track the execution status of a Supertransaction
Get a Supertransaction quote from Biconomy
Why OpenAI Agents SDK?
The OpenAI Agents SDK auto-discovers all 3 tools from Biconomy (Account Abstraction) through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Biconomy (Account Abstraction), another analyzes results, and a third generates reports, all orchestrated through Vinkius.
- —
Native MCP integration via
MCPServerSse, pass the URL and the SDK auto-discovers all tools with full type safety - —
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
- —
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
- —
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Biconomy (Account Abstraction) in OpenAI Agents SDK
Biconomy (Account Abstraction) and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Biconomy (Account Abstraction) to OpenAI Agents SDK 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 Biconomy (Account Abstraction) in OpenAI Agents SDK
The Biconomy (Account Abstraction) 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 3 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in OpenAI Agents SDK 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
Biconomy (Account Abstraction) for OpenAI Agents SDK
Every tool call from OpenAI Agents SDK to the Biconomy (Account Abstraction) MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
How do I request a quote for a gasless (sponsored) transaction?
Use the get_quote tool and simply omit the feeToken parameter. Biconomy will analyze the flow and return a quote where the gas is sponsored.
What do I need to provide to the execute tool after getting a quote?
You must provide the full quotePayload to the execute_supertx tool. Ensure that the required signatures have been added to the payloadToSign fields within that object.
Can I check the status of a transaction that is currently processing?
Yes. Use the get_explorer_status tool with the supertxHash returned by the execution endpoint to track its real-time progress on the blockchain.
How does the OpenAI Agents SDK connect to MCP?
Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.
Can I use multiple MCP servers in one agent?
Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.
Does the SDK support streaming responses?
Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.
MCPServerStreamableHttp not found
Ensure you have the latest version: pip install --upgrade openai-agents
Agent not calling tools
Make sure your prompt explicitly references the task the tools can help with.
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