mcp-server

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

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Install / Use

claude mcp add lambda-capture -- npx -y github:lambda-capture/mcp-server

If the server publishes to npm under a different name, use that package instead — check the repo README.

About this skill

🔌

MCP Server

Model Context Protocol server

Quality Score

67/100

Our assessment of mcp-server

mcp-server scores 67/100 on our quality scale, 475th of 535 AI & Machine Learning skills we index.

Its MCP Server is 4.1 KB long, well organised into 15 sections with 6 code examples: a solid amount of guidance for an agent.

It has 10 GitHub stars, so there is little community track record yet; judge it on its content.

Substance

26/30

Structure

20/20

Description

12/15

Adoption

4/20

Freshness

5/15

Maintenance, license and trust

The repository was last updated about 16 months ago. Expect some instructions to reference tool versions or APIs that have since changed.
Our last check on 2026-09-19 found the source still online.
No license is declared. By default that means all rights are reserved: you can read it, but reusing or redistributing it is not clearly permitted. Ask the author before building on it commercially.
Its trust signals score 68/100, with 3 cautions from licensing, adoption, age or documentation. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

mcp-server compared with similar skills

All 4 of these similar skills score higher than mcp-server; compare them before choosing.

Skill	Score	Stars	Updated	Format
mcp-server (this skill)by lambda-capture	67	10	16mo ago	MCP Server
cavemanby JuliusBrussee	100	107.5k	today	CLAUDE.md
claude-memby thedotmack	100	94.5k	today	CLAUDE.md
Agent-Reachby Panniantong	100	85.0k	7d ago	CLAUDE.md
Understand-Anythingby Egonex-AI	100	83.8k	11d ago	CLAUDE.md

Frequently asked questions

How do I install mcp-server?: Run claude mcp add lambda-capture -- npx -y github:lambda-capture/mcp-server. The install tabs above show the steps for each supported agent.
Which AI agents does mcp-server work with?: It is written for Claude Code and Claude Desktop, as a MCP Server file. Other agents that read the same format can often use it too.
Is mcp-server safe to use?: It declares no license and scores 68/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is mcp-server still maintained?: The repository was last updated about 16 months ago. Expect some instructions to reference tool versions or APIs that have since changed.

Skill content

View source on GitHub

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

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

Installation

Clone the repo

Node:

npm install to install the dependencies
npm run build to build the project

Python:

python -m venv .venv create virtual environment
source .venv/bin/activate activate virtual environment
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)

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lambda-capture

View profile

View on GitHub

GitHub Stars10

CategoryAI

Updated1y ago

Forks2

lambda-capture/mcp-server

Languages

JavaScript

Trust signals

68/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

2 medium1 low1 info