Addepar MCP Server for OpenAI Agents SDK 5 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Addepar through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="Addepar Assistant",
instructions=(
"You help users interact with Addepar. "
"You have access to 5 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Addepar"
)
print(result.final_output)
asyncio.run(main())
* 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 Addepar MCP Server
Connect your Addepar account to your AI agent to unlock enterprise-grade investment intelligence and reporting. From auditing portfolio performance to tracking granular transactions and managing complex ownership structures, your agent handles wealth management data through natural conversation.
The OpenAI Agents SDK auto-discovers all 5 tools from Addepar through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Addepar, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Portfolio Intelligence — Retrieve detailed performance and analytics for your clients and entity groups
- Entity Management — List and audit clients, accounts, and investment groups to maintain organizational clarity
- Position Tracking — View real-time holdings and ownership details across your entire investment landscape
- Transaction Auditing — Retrieve and analyze financial transaction logs to ensure accuracy and transparency
- Metadata Insights — Access deep technical metadata for any entity or account directly from your chat interface
The Addepar MCP Server exposes 5 tools through the Vinkius. Connect it to OpenAI Agents SDK 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 Addepar to OpenAI Agents SDK via MCP
Follow these steps to integrate the Addepar MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 5 tools from Addepar
Why Use OpenAI Agents SDK with the Addepar MCP Server
OpenAI Agents SDK provides unique advantages when paired with Addepar through the Model Context Protocol.
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
Addepar + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Addepar MCP Server delivers measurable value.
Automated workflows: build agents that query Addepar, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Addepar, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Addepar tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Addepar to resolve tickets, look up records, and update statuses without human intervention
Addepar MCP Tools for OpenAI Agents SDK (5)
These 5 tools become available when you connect Addepar to OpenAI Agents SDK via MCP:
get_entity_details
Get details for an entity
get_portfolio_analytics
Get portfolio performance data
get_position_details
View portfolio holdings
list_entities
List clients and accounts
list_transactions
List financial transactions
Example Prompts for Addepar in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Addepar immediately.
"List all active client entities in my Addepar account."
"Show me the performance for 'The Miller Family Office' for the last quarter."
"List the latest 10 transactions for account ID ACCT-123."
Troubleshooting Addepar MCP Server with OpenAI Agents SDK
Common issues when connecting Addepar to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Addepar + OpenAI Agents SDK FAQ
Common questions about integrating Addepar MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
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?
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?
Connect Addepar with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Addepar to OpenAI Agents SDK
Get your token, paste the configuration, and start using 5 tools in under 2 minutes. No API key management needed.
