About
Provides financial market data from Bloomberg’s blpapi to MCP clients over SSE or stdio. Requires a running Bloomberg Terminal for data access.
Capabilities
Bloomberg BLPAPI‑MCP: A Real‑Time Financial Data Gateway for AI Assistants
Bloomberg’s proprietary BLPAPI is the industry standard for accessing real‑time market data, reference information, and historical pricing. However, its native libraries are tightly coupled to the Bloomberg Terminal environment and are not directly consumable by modern AI assistants that rely on the Model Context Protocol (MCP). The BLPAPI‑MCP server bridges this gap by exposing Bloomberg data as an MCP service, allowing Claude, Cursor, Aider, and other MCP‑enabled agents to query the terminal from anywhere in their workflow.
At its core, the server listens for MCP requests over Server‑Sent Events (SSE) and translates them into BLPAPI calls. It can fetch live quotes, historical series, corporate actions, and other financial instruments, returning results in a structured JSON format that the client tool can ingest. Because it runs locally on the machine where the Bloomberg Terminal is active, no additional network exposure or licensing changes are required; developers simply point their MCP configuration to the server’s host and port.
Key capabilities include:
- Real‑time market feeds: Continuous price updates for equities, fixed income, derivatives, and commodities.
- Historical data retrieval: Arbitrary date ranges with adjustable frequency (daily, intraday).
- Reference data: Company fundamentals, sector classifications, and corporate action details.
- SSE integration: Low‑latency push notifications that keep AI agents synchronized with market movements.
- Cross‑platform support: Works on Windows, macOS, and Linux as long as a Bloomberg Terminal is running.
Typical use cases involve building AI‑powered trading assistants that can ask for the latest price of a ticker, request trend analysis over the past week, or trigger alerts when a security breaches a threshold—all without leaving the conversational interface. In research settings, data scientists can query Bloomberg data on demand during model training or back‑testing pipelines. Compliance teams may use the server to verify that automated decisions are based on approved market feeds.
Integration is straightforward: developers add a single MCP server entry in their or run the command for Claude. Once registered, agents can invoke predefined tools such as or , and the MCP server handles authentication, request routing, and response formatting behind the scenes. This eliminates boilerplate code, centralizes Bloomberg access logic, and ensures that all AI assistants share a consistent data source.
The standout advantage of BLPAPI‑MCP is its native terminal integration combined with the lightweight, event‑driven SSE transport. Developers benefit from real‑time data without sacrificing latency or needing to maintain complex database mirrors. For any organization already invested in Bloomberg’s ecosystem, this MCP server offers a seamless path to augmenting their AI tooling with high‑quality financial data.
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