Milemarker launches Firm MCP to unify AI across wealth management systems
Milemarker launched Firm MCP today, giving wealth management firms a governed AI layer that spans more than 300 features and 140-plus integrated systems. The product is designed to connect modern tools and legacy platforms in one environment, so firms can use AI across their full data stack without waiting on new APIs.
Why it matters: - Wealth management firms can now use one AI layer across the systems they already run, instead of stitching together separate vendor connectors. - Firm MCP is built to handle legacy platforms, spreadsheets, file feeds and in-house databases that may never offer modern APIs. - The launch could reduce the time operations teams spend waiting on engineering support for reporting, dashboards and workflow changes.
What happened: - Milemarker launched Milemarker Firm MCP today for its client firms. - The product is a Model Context Protocol server for advisory firms. - Firm MCP gives each firm one governed AI connection across its data environment. - The launch includes more than 300 features covering data exploration, reporting, entitlements, data governance, workflows and application building. - Firm MCP pulls from more than 140 custodians, CRMs, portfolio systems and planning tools already integrated with Milemarker. - The company said every Milemarker client firm can access the full product now, with no waitlist or rollout queue.
The details: - Firm MCP maps data from connected sources into shared canonical records for households, accounts and advisors. - The system performs identity resolution across systems so answers come from reconciled firm data. - Legacy systems can join the same governed layer through secure file transfer, direct data sharing and email ingestion. - Milemarker reconciles that legacy data with modern platforms and makes it available through Firm MCP. - Role-based row access policies follow each user into every conversation. - Advisors, operations staff and executives only see data they are entitled to access. - Firms can tag and describe data across their catalog and apply PII masking. - Firm MCP reads and builds without altering underlying source data. - Security-affecting changes run as a dry run first. - Every platform change requires confirmation before it executes. - Teams can create and deploy dashboards, metrics, pages, forms, workflows, custom objects, search and Navigator AI agents directly from an AI assistant. - Firm MCP works with Claude, ChatGPT, Codex, Gemini and other MCP-compatible clients. - Firm data remains in the firm’s own Milemarker Snowflake environment. - Milemarker introduced its MCP server in May 2026 as a rollout to partner firms. - Firm MCP is the next stage of that rollout. - Firms can see the product working against real data at Milemarker’s MCP Open Office Hours every other week. - More information is available at Milemarker’s MCP page.
Between the lines: - Anthropic introduced Claude for Financial Advisors last week with connectors from Charles Schwab, Orion, Envestnet, Addepar, Zocks, Wealthbox and others. - Vendor connectors give an AI assistant a clear view into one system, while Firm MCP is designed to span the firm’s entire business. - Milemarker is positioning the firm’s own definitions, permissions and data environment as the control point for AI use. - The company is also betting that the biggest value comes from making older systems usable inside the same AI workflow as newer platforms. - Clients quoted in the release frame the product as a way to move work from engineering queues to operations teams.
What's next: - Milemarker says client firms are already using the product daily across their operations. - The company expects firms to keep building dashboards, workflows and AI agents inside the platform as questions arise. - Open Office Hours will continue every other week for firms that want to test Firm MCP against live data.
The bottom line: - Milemarker is turning AI for wealth management from one-off connectors into a firm-wide operating layer.
Disclaimer: This article was produced by AGP Wire with the assistance of artificial intelligence based on original source content and has been refined to improve clarity, structure, and readability. This content is provided on an “as is” basis. While care has been taken in its preparation, it may contain inaccuracies or omissions, and readers should consult the original source and independently verify key information where appropriate. This content is for informational purposes only and does not constitute legal, financial, investment, or other professional advice.
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