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ProfileOne

Profile Software · Data & Analytics Infrastructure

MCP ServerVendor

Profile Software's ProfileOne, launched at Sibos and presented to the UK market on October 29, 2026, is an AI orchestration platform for financial institutions that operates as both an MCP server and an MCP client. It exposes Profile's capabilities to external AI agents while connecting to third-party MCP services (Microsoft and Bloomberg are named) alongside CRM, ERP and core banking systems, under governance and human oversight.

orchestrationcore bankingenterprisebidirectionalinstitutional
Status
Vendor
Auth
Enterprise
Hosting
Remote
Community rating
Not rated yet
Role
Gateway

Reaches many systems at once. One connection that fans out to hundreds of apps, trading depth for breadth. More on Gateway servers → All seven roles →

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Caveats

  • Vendor-reported, not independently verified. Everything here comes from Profile Software's own press release.
  • No public endpoint, developer documentation, tool list or pricing was found; access appears to be through Profile's sales process.
  • Bidirectional by design: ProfileOne acts as both server and client, so a deployment can reach third-party MCP services as well as expose internal capabilities. Map both directions before connecting.
  • Institution-facing orchestration for banks and large financial firms, not an advisor-desktop tool.
  • Start with read-only scopes and keep client-side approval prompts on until the connection is proven.
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How to connect ProfileOne

Step 1

Check the vendor's documentation

This listing does not publish a public endpoint or install command yet. Open the vendor documentation above for access details, then follow the general steps in our connection guide.

Step 2

Authenticate with Enterprise

Access is provisioned by the vendor or your firm's administrator. Ask your account team for MCP access, sandbox credentials and the allowed data scopes.

Step 3

Verify, then widen access

Restart your client, confirm the server's tools appear, and run one read-only question first. Keep client-side approval prompts on for any tool that can write, trade or send. Confirm with your firm's compliance policy before connecting systems holding client data.

Prompts that use this server

Starter prompts from the Practice Stacks that rely on Data & Analytics Infrastructure.

Custom reporting query brief

A firm-level answer pulled from your warehouse.

Portfolio Reporting & PerformanceData & Analytics InfrastructureCustody & Clearing

Read-only: answer <question, e.g. AUM by custodian and household size> from my analytics warehouse, then spot-check the answer against the live custodial data for two or three sample accounts. Show the SELECT query you ran, the row counts, the result table, and a reconciliation line comparing warehouse totals to custodian totals with any variance called out. Use SELECT only. No inserts, updates, deletes or schema changes, and do not place or modify anything at the custodian. If a table or account you need is missing, say so instead of approximating.

Guardrail · Read-only credentials only. Never connect a warehouse with write access to a chat tool.

Warehouse schema map

A plain-English map of what data you actually have.

Data Infrastructure (Builder / Enterprise)Data & Analytics InfrastructureWealth Platforms

Read-only: map the warehouse schemas and tables relevant to <domain, e.g. client holdings>, table, purpose, grain, row count and how tables join, then trace each one back to the upstream wealth platform or custodial API field that feeds it. Output a lineage table of Warehouse table.column / Upstream source field / Grain / Last loaded, and flag tables with no identifiable upstream source or with fields the source no longer provides. Use metadata and SELECT queries only. No DDL, no writes, no schema changes.

Guardrail · Read-only credentials. Never connect a warehouse with DDL rights to a chat tool.

Data quality profile

Nulls, duplicates and outliers in the tables you rely on.

Data Infrastructure (Builder / Enterprise)Data & Analytics InfrastructureMarket & Financial Data

Read-only: profile <table or dataset>, null rates by column, duplicate keys, value ranges and obvious outliers, then validate a sample of its prices, identifiers or corporate-action fields against a market-data source for the same dates. Show the SELECT queries you ran, the results, and a comparison table of warehouse value vs. market-data value vs. variance. Do not write, delete or correct any data. Recommend fixes as a list for my engineer to review.

Guardrail · Read-only. Corrections belong in your pipeline, with review and version control.

Read the full connection guide →