Addepar MCP. Audit client performance and holdings via natural chat.
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Addepar MCP Server connects your AI agent directly to enterprise investment data. Use it to manage client portfolios, audit transactions, and track ownership structures for wealth management.
Your agent reads performance analytics, lists accounts, and retrieves deep metadata from Addepar, all through natural conversation.
What your AI agents can do
Get entity details
Gets specific technical and structural details for a single client entity or account.
Get portfolio analytics
Retrieves the calculated performance and analytics for a given portfolio or group of portfolios.
Get position details
Shows the current holdings, ownership breakdown, and quantity of assets in a specific portfolio.
The agent pulls current holdings and ownership details for any account group using get_position_details.
You request portfolio performance data for a specific time frame or client group using get_portfolio_analytics.
The agent retrieves a list of all client entities and accounts using list_entities and then gets specific details with get_entity_details.
You ask the agent to pull and analyze a specific set of financial transactions using list_transactions.
The agent fetches technical metadata about any given account or entity using get_entity_details.
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Addepar MCP Server: 5 Tools for Financial Data
Use these tools to query portfolio performance, list accounts, and track granular transaction data from your Addepar account.
019d7547get entity details
Gets specific technical and structural details for a single client entity or account.
019d7547get portfolio analytics
Retrieves the calculated performance and analytics for a given portfolio or group of portfolios.
019d7547get position details
Shows the current holdings, ownership breakdown, and quantity of assets in a specific portfolio.
019d7547list entities
Lists all existing clients, accounts, and investment groups in the Addepar system.
019d7547list transactions
Pulls a chronological list of financial transactions for a specified account or portfolio.
Choose How to Get Started
Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.
Build Your Own
Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.
- Import from OpenAPI, Swagger, or YAML specs
- Create Agent Skills with progressive disclosure
- Deploy to edge with MCPFusion framework
- Built in DLP, auth, and compliance on every call
- Real time usage dashboard and cost metering
- Publish to catalog or keep private
Make Your AI Do More
Start with Addepar, then connect any of our 4,700+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 4,700+ others, all in one place
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- Works with Claude, ChatGPT, Cursor, and more
- New servers added to the catalog every week
What you can do with this MCP connector
Addepar MCP Server lets your AI agent talk directly to your enterprise investment data. You use it to manage client portfolios, audit transactions, and track ownership structures for wealth management. Your agent reads performance analytics, lists accounts, and pulls deep metadata from Addepar, all through natural conversation.
Audit Client Holdings
Your agent pulls current holdings and ownership details for any account group when you use get_position_details.
Calculate Performance Metrics
You request portfolio performance data for a specific time frame or client group using get_portfolio_analytics.
List and Verify Accounts
Your agent pulls a list of every client entity and account using list_entities, and then it grabs specific details for any of those items with get_entity_details.
Analyze Transaction History
You ask the agent to pull and analyze a specific set of financial transactions using list_transactions.
Retrieve Account Metadata
The agent fetches technical metadata about any given account or entity using get_entity_details.
How Addepar MCP Works
- 1 Subscribe to the Addepar server and provide your API credentials (Key, Secret, Firm ID).
- 2 Start a conversation in your AI client, prompting the agent with a request (e.g., 'What was the Q3 return for Client X?').
- 3 The agent executes the necessary tools (like
get_portfolio_analytics) and presents the structured data in plain language.
The bottom line is, your AI client runs the necessary Addepar API calls and formats the results, so you just talk to it.
Who Is Addepar MCP For?
Wealth Managers and Investment Analysts need this. They deal with massive, siloed investment data and spend hours manually cross-referencing client holdings, transaction logs, and performance reports. This server lets them ask complex, multi-layered questions—like 'Show me the total exposure to Global Equities for all clients founded before 2010'—and get an immediate, auditable answer.
Quickly audit client portfolios and pull performance data to prep for client review meetings.
Get granular position and transaction data to perform deep-dive analysis on asset classes or specific trades.
Manage entity metadata and verify data integrity across various client accounts to keep the records clean.
Track complex ownership structures and overall performance trends for multiple related entities.
What Changes When You Connect
- Stop clicking through dashboards to find performance data. Use
get_portfolio_analyticsto get the net return and closing value for a client group immediately. - Keep track of complex ownership structures.
get_position_detailsshows exactly who owns what and the current holdings across all linked accounts. - Audit accounts without manually listing them.
list_entitiesgives you a full list of clients and accounts, and you can then drill down withget_entity_details. - Verify financial records instantly.
list_transactionspulls the last 10 trades, dividend payments, and cash movements for any given account. - Get deep technical context. Need to know the account's structure?
get_entity_detailsprovides technical metadata that usually requires a dedicated admin panel. - Analyze multiple data points in one go. By chaining
list_entitieswithget_portfolio_analytics, you can analyze the performance of a group of related clients.
Real-World Use Cases
Preparing for a Client Review
A wealth advisor needs to summarize performance for three separate family offices. Instead of opening three dashboards, they ask their agent: 'Show me the Q3 performance for the Miller Family Office and East Coast Holdings.' The agent runs get_portfolio_analytics and compiles a single, comparative report.
Investigating a Missing Trade
An analyst notices a discrepancy in a client's quarterly report. They prompt the agent: 'What were the transactions for ACCT-123 between May 1st and May 10th?' The agent executes list_transactions, providing a clear, auditable log to solve the discrepancy.
Mapping Ownership Chains
An operations team member needs to confirm if a new subsidiary is properly linked to the main parent account. They use list_entities to find all related groups, then use get_entity_details to verify the metadata and structure.
Determining Total Exposure
A manager needs to know the total current market value of a specific asset class across all clients. They ask the agent to use get_position_details across a group of accounts identified via list_entities, instantly giving a consolidated view of holdings.
The Tradeoffs
Manual Dashboard Cross-Referencing
A user opens the main portfolio dashboard, then opens the transaction history report, and finally opens the entity management view. They spend 20 minutes manually correlating dates and IDs in three different tabs.
→
Tell your agent, 'Compare the total holdings from get_position_details against the transaction log from list_transactions for account ABC.' The agent runs both tools and presents a single, correlated summary.
Guessing the Right Data Endpoint
A user tries to manually calculate total AUM by guessing if they should use the get_portfolio_analytics tool or if they need to run a custom SQL query on the raw database.
→
Start with the high-level view. Use list_entities to identify the group, then run get_portfolio_analytics for the total metrics. If that's too general, refine the query by running get_position_details.
Ignoring Metadata Context
An analyst retrieves transaction data (list_transactions) but can't figure out why the account ID is unusual because they never checked the account's structural status.
→
Always check the container first. Run get_entity_details on the account ID before running any data retrieval tools. This validates the account's structure and status.
When It Fits, When It Doesn't
Use this server if your primary bottleneck is synthesizing complex financial reports. You need to answer questions like, 'What was the net return of X, and what transactions caused it?' If your workflow requires correlating performance data (get_portfolio_analytics) with underlying ownership details (get_position_details) or historical movement (list_transactions), this is the right tool.
Don't use this if you are just looking for simple, static reports that don't involve cross-referencing. For example, if you only need to check if a single account is active, list_entities is sufficient. If you need to know the account's legal structure, get_entity_details is better. This server is for the deep, multi-step audit work.
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Addepar. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Works with Claude, ChatGPT, Cursor, and more
The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.
This server provides 5 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
Available Capabilities
Cross-referencing client data shouldn't require opening five separate tabs.
Today, auditing a client's status is a nightmare. You open the main portfolio screen to see performance, then you click to the transactions tab to see the trades, and then you open the entity management section just to confirm the account ID is valid. You copy-paste IDs, you switch tabs, and you spend half your morning just trying to match up the data points.
With this server, you just tell your agent the problem. 'Show me the performance for client XYZ.' The agent runs `get_portfolio_analytics`, cross-references the holdings using `get_position_details`, and pulls the transaction history from `list_transactions`—all in one response. You get the answer, not a stack of CSVs.
Addepar MCP Server: Get the full picture in seconds.
You no longer need to manually run five different reports in the Addepar web portal. You don't need to export data to Excel and then spend hours in pivot tables trying to harmonize the asset class data with the ownership data. You just ask the agent.
The difference is that the intelligence layer handles the data plumbing. You focus on the insight, and the agent handles the messy, multi-tool data retrieval. It's that simple.
Common Questions About Addepar MCP
How do I check the performance using get_portfolio_analytics? +
You ask your agent to run get_portfolio_analytics and specify the client ID and the desired date range. The agent returns the net return, closing value, and top asset class for that period.
What is the difference between list_entities and get_entity_details? +
list_entities gives you a summary list of all accounts and clients. You use get_entity_details when you need the deep, technical metadata or specific structural information about a single entity.
Can I track current holdings with get_position_details? +
Yes. get_position_details shows the real-time holdings, including ownership percentage and quantity, for a specific portfolio ID.
Does list_transactions cover all financial activity? +
It pulls a list of financial transactions, including buys, sales, and dividends, for a given account. If you need structural metadata, use get_entity_details.
Can I audit all clients' accounts? +
First, run list_entities to get the list of all IDs. Then, you can ask the agent to run get_portfolio_analytics for each ID sequentially or in a batch, depending on the scope.
How do I list all client and account names using list_entities? +
The list_entities tool returns a comprehensive list of every client and account ID. You get a structured list of names and IDs, allowing you to know exactly which entities exist in your Addepar account.
Can I get detailed information on a specific account using get_entity_details? +
Yes, get_entity_details fetches deep technical metadata for any specific entity ID you provide. This includes operational details that go beyond simple names, helping you maintain data integrity.
Does get_position_details show historical holdings, or just current ones? +
The get_position_details tool provides real-time viewings of current portfolio holdings. You see the latest ownership details across your entire investment landscape.
How do I find my Addepar API credentials? +
Log in to Addepar, go to Firm Administration > API Access Key. You can generate your API Key and Secret there. Also, note your Addepar-Firm-Id from your account settings.
Can I see detailed performance for a specific client group? +
Yes! Use the get_portfolio_data tool and provide the Group ID. Your agent will retrieve aggregated performance metrics and analytics for that specific entity.
Does this server support transaction history? +
Yes, you can use the list_transactions tool to retrieve and audit financial logs across your portfolios and accounts.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
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