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 } } }'

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

• Lambda Capture API key
• for MCP Typescript: Node.js 18+ (includes npx and npm)
• for MCP Python: Python 3.11+

Installation

1. Clone the repo

Node:

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

Python:

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

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)