mcp-server
🌐 MCP Server for Semantic Search of Macro Data for Quant Research AI Agents
Install / Use
claude mcp add lambda-capture -- npx -y github:lambda-capture/mcp-serverIf the server publishes to npm under a different name, use that package instead — check the repo README.
MCP Server
Model Context Protocol server
Quality Score
Category
AI & Machine LearningSupported Platforms
Our assessment of mcp-server
mcp-server scores 67/100 on our quality scale, 893rd of 945 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.
Maintenance, license and trust
- The repository was last updated about 17 months ago. Expect some instructions to reference tool versions or APIs that have since changed.
- Our last check on 2026-10-22 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.
Safety scan
No issues foundOur scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful.
AI review by kimi-k2.7-code on 2026-09-24. Automated pattern scan on 2026-09-24. It catches known dangerous patterns, not every risk — read a skill 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 | 17mo ago | MCP Server |
| claude-memby thedotmack | 100 | 114.2k | today | CLAUDE.md |
| Agent-Reachby Panniantong | 100 | 109.8k | 1d ago | CLAUDE.md |
| Understand-Anythingby Egonex-AI | 100 | 91.2k | today | CLAUDE.md |
| headroomby headroomlabs-ai | 100 | 79.1k | today | 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?
- Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful. 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 17 months ago. Expect some instructions to reference tool versions or APIs that have since changed.
Skill content
View source on GitHubLambda 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 installto install the dependenciesnpm run buildto build the project
Python:
python -m venv .venvcreate virtual environmentsource .venv/bin/activateactivate virtual environmentpip install -r requirements.txtinstall 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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Languages
Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
