Pulse MCP Server
by omar-k01
README.md
# Pulse MCP Server
An [MCP](https://modelcontextprotocol.io) server that exposes Moody's Pulse (Cortera) trade-credit data with grounded knowledge-base context. Every report section and metric is linked to a local knowledge base (`pulse-kb/`) so the server can explain what each value means, how it's computed, how it ties into the wider Moody's data estate, and which use cases it serves.
## Tools
| Tool | Purpose |
|---|---|
| `search_business` | Find a company → `linkId` |
| `get_report` | Full Deep Dive Report (entire JSON) |
| `get_report_section` | Pull specific sections by canonical name or natural-language alias |
| `list_report_sections` | List all sections with their plain-English meaning |
| `explain_section` | Explain a section (definition + KB source + cross-data-estate ties) |
| `explain_metric` | Explain a metric / field (CPR, DR, DBT, etc.) |
| `list_metrics` | Catalog of metrics in the registry |
| `get_use_case_briefing` | Surface Pulse signals + framework for a use case (surety, trade_credit, dno, portfolio, tprm, submission_triage, industry_macro) |
| `read_kb` | Read a KB doc by relative path for deep dives |
## Prerequisites
- Python 3.10+
- Pulse (Cortera) API credentials
## Install
```bash
pip install -r requirements.txt
```
## Configure
Copy the example env file and fill in your credentials:
```bash
cp .env.example .env
```
Then edit `.env`:
```
PULSE_USER=your-pulse-username
PULSE_PASSWORD=your-pulse-password
```
## Register with an MCP client
Add to your MCP client config (e.g. `.mcp.json` or `claude_desktop_config.json`):
```json
{
"mcpServers": {
"pulse": {
"command": "python",
"args": ["C:/path/to/pulse-mcp/server.py"]
}
}
}
```
## Project layout
```
pulse-mcp/
├── server.py # FastMCP server + tool definitions
├── kb_registry.py # section aliases, metrics, use-case frameworks
├── pulse-kb/ # knowledge-base docs (definitions, cross-estate ties)
├── requirements.txt
├── .env.example # template — copy to .env (gitignored)
└── Dockerfile
```
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