Mercury MCP

BankMCP is a self-hosted, read-only Model Context Protocol server that lets AI assistants query a user's bank accounts through Enable Banking's PSD2 open-banking API. The user authenticates at the bank through a consent flow; BankMCP stores consent and account metadata but does not store balances or transactions, make payments, or send telemetry. It exposes MCP tools for managing bank connections and accounts, retrieving balances and paginated transactions, and creating rules that poll accounts for conditions such as low balances or matching payments and send webhook notifications. It can run locally or on a server, is distributed as the npm package `bankmcp`, supports standard MCP clients including Claude and Ollama, and is licensed under the MIT License.

A financial Model Context Protocol (MCP) tool described in the video as supporting investment analysis and hypothetical trade actions through Robinhood.

Model Context Protocol (MCP) is an open, standardized protocol layer for connecting large language models and AI agents with external data sources, hosted infrastructure tools, and other contextual data. It defines formats, metadata, protocol schemas, and APIs for sharing information and tools, attaching, referencing, and validating context such as documents, embeddings, and provenance, while supporting scoped authentication and permissions. MCP translates JSON requests from an agent into calls to service APIs, including CRM, container-management, and GKE capabilities, and can provide design-system context and related tools for generating consistent applications. The official project publishes its specification, documentation, and protocol schema; the schema is defined first in TypeScript and also provided as JSON Schema for broader compatibility. The protocol was created by David Soria Parra and Justin Spahr-Summers, is hosted at modelcontextprotocol.io, and is licensed under the MIT License.

Context is Automattic's internal MCP server for rapidly adding tooling sets with governance and observability layers. It is used in the company's AI-enablement programs, which cover MCPs, shared skills, hooks, and autonomous agents.