by lambda-capture
Provides a semantic search API for macroeconomic data, enabling AI agents and quantitative research tools to retrieve relevant economic indicators via MCP calls.
Lambda Capture MCP Server implements a Model Context Protocol (MCP) endpoint that exposes a semantic‑search API for macroeconomic data. It allows AI agents, large language models, and quant research pipelines to query economic concepts (e.g., inflation expectations) and receive the most relevant data points.
https://mcp.lambda-capture.com/v1/mcp/ using POST. Include your Lambda Capture API token in the Authorization header. The request can be made via curl, OpenAI client tools, or any HTTP library.npm install for Node or a virtual environment for Python), then run the server locally. Configure the environment variable LAMBDA_CAPTURE_API_KEY with your API key.claude_desktop_config.json (or any MCP‑compatible client) pointing to the remote URL or the local executable.text/event-stream for incremental output.maxTokens/max_tokens to fit the model’s context size.Q: Do I need a Lambda Capture account? A: Yes, an API key from Lambda Capture is required for both remote and local deployments.
Q: Which models can call this MCP server? A: Any model that supports MCP, including OpenAI's GPT‑4.1, Anthropic Claude, and other compatible LLMs.
Q: How many results can I request?
A: The max_results parameter controls the number of returned items; typical defaults are 3‑10.
Q: Can I run the server behind a firewall? A: Yes, the local version can be hosted on any network; just ensure the MCP client can reach the URL.
Q: How do I change the token limit?
A: Edit the maxTokens (TypeScript) or max_tokens (Python) variable in the source before building.
MCP implementation of our standard Semantic Search API for Macroeconomic Data

Check server status HERE
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 -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": {}
}'
Go to Claude -> Settings -> Developer -> Edit Config. Add the following to your claude_desktop_config.json
{
"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"
}
}
}
npm install to install the dependenciesnpm run build to build the projectpython -m venv .venv create virtual environmentsource .venv/bin/activate activate virtual environmentpip install -r requirements.txt install the dependenciesGo to Claude -> Settings -> Developer -> Edit Config. Add the following to your claude_desktop_config.json
{
"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"
}
}
}
{
"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"
}
}
}
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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{
"mcpServers": {
"lambda-capture-mcp": {
"command": "npx",
"args": [
"-y",
"mcp-server"
],
"env": {
"LAMBDA_CAPTURE_API_KEY": "<YOUR_API_KEY>"
}
}
}
}claude mcp add lambda-capture-mcp npx -y mcp-serverExplore related MCPs that share similar capabilities and solve comparable challenges
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