Content
# Lambda Capture MCP Server
[](https://lambda-capture.com/) [](https://lambda-capture.com/)
MCP implementation of our standard [Semantic Search API for Macroeconomic Data](https://github.com/lambda-capture/Semantic-Search-API)
## Remote MCP Server (streamable HTTP)
Check server status [HERE](https://mcp.lambda-capture.com/)
### [OpenAI Responses API](https://platform.openai.com/docs/guides/tools-remote-mcp)
```python
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
```bash
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
}
}
}'
```
```bash
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:
```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"
}
}
}
```
## Local MCP Server
### Pre-requisites
- [Lambda Capture API key](https://lambda-capture.com/)
- for MCP Typescript: [Node.js 18+ (includes npx and npm)](https://nodejs.org/en/download/)
- for MCP Python: [Python 3.11+](https://www.python.org/downloads/)
### 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
### Configure your MCP Client (Claude Desktop App)
Go to Claude -> Settings -> Developer -> Edit Config. Add the following to your `claude_desktop_config.json`
#### Node:
```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"
}
}
}
```
#### Python:
```json
{
"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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