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Lambda Capture MCP Server

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Hybrid

Lambda Capture MCP Server

Remote MCP Server GET/POST API
MCP implementation of our standard Semantic Search API for Macroeconomic Data Lambda Capture MCP Server

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

  3. pip install -r requirements.txt install the dependencies

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": "node",
      "args": [
        "/Absolute Path to/mcp-server/dist/index.js"
      ],
      "env": {
        "LAMBDA_CAPTURE_API_KEY": "Your API Key string"
      },
      "description": "Runs the Node MCP with Lambda Capture Macroeconomic Data API"
    }
  }
}

Python:

{
  "mcpServers": {
    "lambda-capture-mcp": {
      "command": "/Absolute Path to/.venv/bin/python",
      "args": [
        "/Absolute Path to/mcp-server/main.py"
      ],
      "env": {
        "LAMBDA_CAPTURE_API_KEY": "Your API Key string"
      },
      "description": "Runs the Python MCP with Lambda Capture Macroeconomic Data API"
    }
  }
}

Context Window Size

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

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