A TypeScript-based read-only MCP server implementation for the Lithic banking API

A server based on the Model Context Protocol (MCP) that provides integration with the Australian Up Banking API, allowing users to query financial data such as bank accounts, transaction records, and consumption categories through Claude.

Auto Causal Inference is a project that uses large language models (LLMs) to automatically perform causal inference. Users only need to specify the treatment variable and the outcome variable, and the system can automatically complete the full - process analysis, including variable role identification, causal graph construction, effect estimation, and model validation. The project provides two agent architectures (LangGraph and MCP) to achieve this function, which is particularly suitable for causal problem analysis in the banking scenario.

Inferventis is a production - level MCP server that provides 20 financial tools, supports real - time stocks, cryptocurrencies, foreign exchange, open banking, Stripe payments, and news reading. It can be connected with zero installation via the Streamable HTTP protocol and runs on Google Cloud Run.