Cre Intelligence Mcp

Name: Cre Intelligence Mcp
Author: Zwondra

by Zwondracommunityv1.1.0

An MCP server for commercial real estate analysis that pulls live Federal Reserve and Census data, and uses Claude to parse rent rolls, abstract leases, flag lease risks, build DCFs, and generate investment committee memos. It can be used in Claude Desktop to analyze deals with current rates, demographics, and document-derived structured outputs.

From the registry: Live CRE analysis: Federal Reserve rates, Census 1/3/5-mile demographics, DCF models, IC memos.

GitHub Repository Website

Install & configure

Prerequisites

optional
Install an MCP client
Install an MCP client such as Claude Desktop.
https://claude.ai/download
optional
Hosted option: no prerequisites
The hosted server requires no API keys or local runtime. Data fetching runs server-side.
optional
Self-hosted option: install Python 3.11+
Python 3.11 or newer is required to run the server locally.
optional
Self-hosted option: obtain Anthropic API key
Required for document parsing, risk analysis, and memo generation in the self-hosted setup.
https://console.anthropic.com
optional
Self-hosted option: obtain FRED API key
Required in the self-hosted setup for Federal Reserve and market data.
https://fred.stlouisfed.org/docs/api/api_key.html
optional
Self-hosted option: obtain Census API key
Required in the self-hosted setup for demographics data.
https://api.census.gov/data/key_signup.html

Install in your client

Paste into the AI you're chatting with — it will figure out the rest

Please install the `cre-intelligence-mcp` MCP server into my current AI client (that's you).

Optional prerequisites:
- Install an MCP client — Install an MCP client such as Claude Desktop. (https://claude.ai/download)
- Hosted option: no prerequisites — The hosted server requires no API keys or local runtime. Data fetching runs server-side.
- Self-hosted option: install Python 3.11+ — Python 3.11 or newer is required to run the server locally.
- Self-hosted option: obtain Anthropic API key — Required for document parsing, risk analysis, and memo generation in the self-hosted setup. (https://console.anthropic.com)
- Self-hosted option: obtain FRED API key — Required in the self-hosted setup for Federal Reserve and market data. (https://fred.stlouisfed.org/docs/api/api_key.html)
- Self-hosted option: obtain Census API key — Required in the self-hosted setup for demographics data. (https://api.census.gov/data/key_signup.html)

Canonical MCP server config (HTTP transport):
- url: `https://cre-intelligence-mcp.onrender.com/mcp`

Note: Preferred install path is the hosted HTTP server because it is the fastest and most portable option and requires no API keys. The README also documents a stdio bridge via `npx -y mcp-remote https://cre-intelligence-mcp.onrender.com/mcp` for clients that only support stdio, and a self-hosted local Python stdio setup with env vars `ANTHROPIC_API_KEY`, `FRED_API_KEY`, and `CENSUS_API_KEY`.

Add this MCP server to my current client's config in the correct format for you. If you need secrets or credentials I haven't provided, ASK me — do not invent values or leave raw placeholders. After adding it, tell me how to verify the server is connected.

Note: Preferred install path is the hosted HTTP server because it is the fastest and most portable option and requires no API keys. The README also documents a stdio bridge via `npx -y mcp-remote https://cre-intelligence-mcp.onrender.com/mcp` for clients that only support stdio, and a self-hosted local Python stdio setup with env vars `ANTHROPIC_API_KEY`, `FRED_API_KEY`, and `CENSUS_API_KEY`.

Tools (10)

get_current_rates

Live SOFR, 10-year Treasury, Fed Funds, and implied cap rate ranges by property type

get_inflation_data

CPI, shelter inflation, rent CPI, and DCF rent growth guidance

get_cre_market_data

CRE price index, C&I loan trends, delinquency rates, and credit spreads

get_market_demographics

Median income, employment, vacancy, and rents for any US address

get_radius_demographics

1/3/5-mile trade-area demographics including population, weighted income, renter share, and rents

analyze_rent_roll

Extracts structured rent roll data such as tenant, square footage, rent, dates, and expirations from pasted PDF text

abstract_lease

Extracts lease terms including term, rent schedule, TI, options, and red flags from pasted lease text

flag_lease_risks

Analyzes rent roll JSON for rollover risk, concentration risk, and due diligence checklist items

build_dcf_model

Builds a full levered 10-year DCF using live rates fetched from FRED

generate_deal_memo

Generates a full IC memo from address, NOI, and price using live rates and demographics

Environment variables

ANTHROPIC_API_KEYrequiredUsed for Claude-powered document parsing, risk analysis, and memo generation

FRED_API_KEYrequiredUsed to fetch Federal Reserve market data and rates

CENSUS_API_KEYrequiredUsed to fetch Census Bureau demographic data

Prerequisites

• Python 3.11+
• python3.11
• python3

Remote Endpoints

https://cre-intelligence-mcp.onrender.com/mcp

type: streamable-http

Details

Language: Python
License: MIT
Released: Jun 10, 2026
Last commit: Jun 10, 2026
Registry name: io.github.Zwondra/cre-intelligence-mcp

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Cre Intelligence Mcp

Install & configure

Prerequisites

Install in your client

Tools (10)

Environment variables

Prerequisites

Remote Endpoints

Details

Categories

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