Lambda Capture MCP Server

Overview

The Lambda Capture MCP Server bridges AI assistants with a powerful semantic search engine for macroeconomic data. By exposing the Semantic Search API through MCP, it lets models like Claude or GPT‑4 seamlessly query vast economic datasets—such as inflation expectations, GDP trends, and employment figures—without leaving the conversational context. This eliminates the need for developers to build custom connectors or manage separate data pipelines, dramatically reducing integration friction.

At its core, the server implements a set of MCP tools that wrap Lambda Capture’s search logic. When an AI assistant receives a user query, it can invoke the tool, passing natural‑language text and optional parameters (e.g., ). The server translates this into a semantic search request, retrieves the most relevant data points, and streams back structured results that can be directly incorporated into responses. This real‑time data retrieval empowers assistants to provide evidence‑based, up‑to‑date insights rather than relying on static knowledge bases.

Key capabilities include:

• Remote, streamable HTTP: The server can be hosted centrally, allowing multiple clients to connect over the web while receiving incremental responses via Server‑Sent Events.
• Tool discovery: Clients can list available tools () to dynamically adapt their capabilities based on the server’s offerings.
• Secure authentication: A bearer token header protects access, ensuring that only authorized users can query the macroeconomic database.
• Flexible configuration: Whether running locally with Node.js or Python, developers can configure the MCP client in Claude’s desktop settings to point at either a remote endpoint or a local instance.

Typical use cases span finance, policy analysis, and academic research. A financial analyst can ask an AI assistant to “summarize recent inflation expectations” and receive a concise, data‑driven summary. Policy makers might query historical unemployment trends to inform stimulus decisions. Educators can embed up‑to‑date macroeconomic facts into interactive learning modules.

Integrating the Lambda Capture MCP Server into AI workflows is straightforward: after configuring the server in the client, developers simply add a tool call to their prompts. The assistant then automatically handles the request lifecycle—invoking the search, parsing results, and weaving them into natural language. This tight coupling of data retrieval and generation enables richer, more accurate conversations while keeping the developer’s codebase minimal.