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lambda-capture/mcp-server

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このページは AI により自動翻訳されています。技術的な詳細は原文をご確認ください。 原文を見る

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Repository Install

🌐 MCP Server for Semantic Search of Macro Data for Quant Research AI Agents

概要

MCP implementation of our standard Semantic Search API for Macroeconomic Data Check server status HERE Go to Claude -> Settings -> Developer -> Edit Config. Add the following to your claude_desktop_config.json - Lambda Capture API key - for MCP Typescript: Node.js 18+ (includes npx and npm) - for MCP Python: Python 3.11+ 1. Clone the repo 2. npm install to install the dependencies 3. npm run build to build the project 2. python -m venv .venv create virtual environment 3. source .venv/bin/activate activate virtual environment 4. pip install -r requirements.txt install the dependencies Go to Claude -> Settings -> Developer -> Edit Config. Add the following to your claude_desktop_config.json Adjust maxTokens (.ts) or max_tokens (.py) variables, based on context window size of your model (doesn't count metadata, just content tokens) © 2025 Lambda Capture Limited (Registration Number 15845351) 52 Tabernacle Street, London, EC2A 4NJ - All rights reserved

README

以下は原文 README の抜粋です。原文を見る。

Lambda Capture MCP Server


MCP implementation of our standard Semantic Search API for Macroeconomic Data

Remote MCP Server (streamable HTTP)

Check server status HERE

OpenAI Responses API


from openai import OpenAI

client = OpenAI()

resp = client.responses.create(
    model="gpt-4.1",
    input="Key shifts in inflation expectations",
    tools=[
        {
            "type": "mcp",
            "server_label": "lambda-capture",
            "server_url": "https://mcp.lambda-capture.com/v1/mcp/",
            "headers": {
                "Authorization": "Bearer YOUR_ACCESS_TOKEN"
            }
        }
    ]
)

print(resp.output_text)

Curl


curl -X POST "https://mcp.lambda-capture.com/v1/mcp/" \
-H "Content-Type: application/json" \
-H "Accept: application/json, text/event-stream" \
-H "Authorization: Bearer YOUR_ACCESS_TOKEN" \
-d '{
  "jsonrpc": "2.0",
  "method": "tools/call",
  "id": 1,
  "params": {
    "name": "macroecon_semantic_search",
    "arguments": {
      "query_text": "inflation expectations",
      "max_results": 3
    }
  }
}'


curl -X POST "https://mcp.lambda-capture.com/v1/mcp/" \
-H "Content-Type: application/json" \
-H "Accept: application/json, text/event-stream" \
-H "Authorization: Bearer YOUR_ACCESS_TOKEN" \
-d '{
    "jsonrpc": "2.0",
    "id": "1",
    "method": "list_tools",
    "params": {}
}'

Configure your MCP Client (Claude Desktop App)

Go to Claude -> Settings -> Developer -> Edit Config. Add the following to your claude_desktop_config.json

Node:

{
  "mcpServers": {
    "lambda-capture-mcp": {
      "command": "npx",
      "args": [
        "mcp-remote",
        "https://mcp.lambda-capture.com/v1/mcp/",
        "--header", "Authorization: Bearer YOUR_ACCESS_TOKEN"
      ],
      "description": "RemoteMCP with Lambda Capture Macroeconomic Data API"
    }
  }
}

Local MCP Server

Pre-requisites

Installation

  1. Clone the repo

Node:

  1. npm install to install the dependencies
  2. npm run build to build the project

Python:

  1. python -m venv .venv create virtual environment
  2. source .venv/bin/activate activate virtual environment
GitHub で README 全文を見る

インストール

npx mcp-remote https://mcp.lambda-capture.com/v1/mcp/ --header Authorization: Bearer YOUR_ACCESS_TOKEN
MCP 初心者？mcpskill.org のガイドから始めましょう →

設定

{ "mcpServers": { "lambda-capture-mcp": { "command": "npx", "args": [ "mcp-remote", "https://mcp.lambda-capture.com/v1/mcp/", "--header", "Authorization: Bearer YOUR_ACCESS_TOKEN" ], "description": "RemoteMCP with Lambda Capture Macroeconomic Data API" } } }