Model ML Integrations: Financial Data Connectors and MCP

For AI tools in financial services, integration coverage can be a bottleneck. A typical team relies on up to hundreds of data services and internal systems. When each connection has to be custom-built and separately maintained, a tool's supported systems can lag behind the full set a team uses day to day. Model ML approaches this differently. We offer a broad library of connectors spanning the entire technical stack teams depend on every day: market data, private and public global filings, CRM data, and internal files and folders.

MCP support

As a well established industry standard, Model ML can leverage Model Context Protocols to simplify data connections into its agent harness and orchestration layer, and connect externally into Agent-to-Agent and other nextgen systems.

Connect any system, including your own

Because MCP is a shared protocol, a firm isn't limited to a predefined set of connectors. Create an MCP server for proprietary internal data and it becomes usable inside Model ML under the same permissions and controls established by your firm. Plug in any MCP-compatible system of your choice.

Financial and market data connectors

Financial and market data is the most extensively covered category, and several of these connectors work straight away. For example, Capital IQ pulls financial metrics across more than 30 million companies, Global Filings runs retrieval and analysis over filings worldwide, News searches published articles, and Pitchbook provides best-in-class private company coverage.

The rest of the connector library…

…is up to you. Add in any and all MCPs or APIs across structured and unstructured content you team needs.

Want to dive deeper? Book a demo.