
NDI MCP Server
- Updated July 2, 2026
- CREIntel/ndi-mcp-server
NDI MCP Server is a MCP server that lets agents search Northeast US commercial real estate deals, fetch comps, and score deals via the Northeast Deal Intel API.
About
NDI MCP Server connects coding agents to Northeast Deal Intel’s commercial real estate data layer so you can research deals, comparables, and scored opportunities from Claude Code or Cursor instead of tab-hopping across broker sites. developers building CRE analytics products, internal underwriting copilots, or personal investment workflows use it in the earliest journey phase: when the question is whether a market or asset class merits deeper validation. Tools are accessed over MCP stdio with an API key, which keeps credentials in environment configuration appropriate for local agent setups. The server does not replace legal due diligence or local MLS subscriptions; it accelerates structured queries and ranking that agents can summarize into memos, spreadsheets, or prototype dashboards. Prop-tech founders pair it when their agent must ground answers in Northeast-focused inventory and comp context rather than generic web search.
- Commercial real estate deal search focused on the Northeast US
- Comparable transaction (comp) lookup for underwriting conversations
- Deal scoring to rank opportunities from agent queries
- Requires NDI_API_KEY (secret) from northeastdealintel.com agent API page
- PyPI package ndi-mcp-server v1.0.2 with stdio transport
NDI MCP Server by the numbers
- Data as of Jul 7, 2026 (Skillselion catalog sync)
claude mcp add --env NDI_API_KEY=YOUR_NDI_API_KEY ndi-mcp-server -- uvx ndi-mcp-serverAdd your badge
Show developers this MCP server is listed on Skillselion. Paste this into your README.
| Package | ndi-mcp-server |
|---|---|
| Transport | STDIO |
| Auth | Required |
| Last updated | July 2, 2026 |
| Repository | CREIntel/ndi-mcp-server ↗ |
What it does
Let an AI assistant search Northeast US commercial real estate deals, pull comps, and score opportunities while you evaluate acquisitions or brokerage workflows.
Who is it for?
prop-tech developers, small brokerage teams, or investors automating Northeast US commercial deal research inside MCP workflows.
Skip if: Residential house-hunters, national CRE coverage outside the Northeast positioning, or teams unwilling to manage a paid NDI API key.
What you get
After you set NDI_API_KEY and register the server, your agent can return deal lists, comps, and scores you can fold into investment memos or prop-tech prototypes.
- Agent-queryable CRE deal search results for the Northeast US
- Comp lookups and deal scores usable in research docs or downstream apps
By the numbers
- Server version 1.0.2
- Required environment variable: NDI_API_KEY
- Transport: stdio via PyPI identifier ndi-mcp-server
README.md
Northeast Deal Intel — MCP Server
Connect any MCP-compatible LLM (Claude, Cursor, Continue) to 14,000+ AI-scored commercial real estate deals and 100,000+ closed comps across the Northeast.
What You Can Do
Ask your LLM natural language questions like:
- "Find industrial deals in CT over 7% cap rate under $2M"
- "I have a $1.4M 1031 exchange closing in 45 days. What NNN retail fits?"
- "Compare the cap rate on this Hartford warehouse to recent comps"
- "Score this deal: 215 Main St, Windsor CT, $3.2M industrial, 7.8% cap"
- "Which CT deals have the highest sell probability right now?"
Tools Exposed
| Tool | Description | Tier Required |
|---|---|---|
search_deals |
Find active listings by state, type, score, price, cap rate | Any |
get_deal |
Full deal details + scoring breakdown + sell signal | Any |
search_comps |
100K+ closed transactions for benchmarking | agent_starter |
score_deal |
Submit any deal for AI scoring | agent_pro |
get_market_benchmarks |
Cap rate + PSF benchmarks by state/type | Any |
find_1031_candidates |
Filtered search for exchange-ready deals | Any |
get_sell_signal |
Sell probability for a specific listing | agent_starter |
get_market_summary |
State-level market overview | Any |
Setup
1. Get an API Key
Sign up at northeastdealintel.com/agent-api.html
- Agent Starter ($49/mo) —
search_deals,get_deal,search_comps,get_sell_signal,get_market_summary - Agent Pro ($149/mo) — Everything above +
score_deal(submit any deal for AI scoring) - Agent Enterprise ($499/mo) — Full access + bulk exports + custom comp reports
2. Install dependencies
pip install mcp httpx
3. Configure Claude Desktop
Add to ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or
%APPDATA%\Claude\claude_desktop_config.json (Windows):
{
"mcpServers": {
"northeast-deal-intel": {
"command": "python3",
"args": ["/path/to/ndi_mcp_server.py"],
"env": {
"NDI_API_KEY": "your_api_key_here"
}
}
}
}
Restart Claude Desktop. You'll see the NDI tools available in the tool picker.
4. Configure for other MCP clients
The server uses stdio transport (standard). Any MCP-compatible client works the same way — just point it at ndi_mcp_server.py with NDI_API_KEY in the environment.
Cursor: Add to .cursor/mcp.json in your project root.
Continue: Add to ~/.continue/config.json under mcpServers.
Example Conversations
1031 Exchange
"I sold a CT strip center for $1.8M and need a replacement property within 45 days. Find me NNN retail with cap rates above 7% priced between $1.5M and $2.2M."
Market Research
"What's the average cap rate for industrial in Hartford vs. Fairfield County right now? Show me the top 5 deals in each submarket."
Deal Underwriting
"Score this deal: 45 Industrial Dr, Wallingford CT. Asking $4.1M, 47,000 SF warehouse, single tenant NNN, 6.8% cap, 4 years remaining on lease."
Distress Hunting
"Find me deals in CT with high sell probability — I'm looking for motivated sellers. Focus on industrial and multifamily."
API Base URL
https://api.northeastdealintel.com
Override with env var: NDI_API_BASE=https://api.northeastdealintel.com
Questions
Recommended MCP Servers
How it compares
Domain-specific CRE finance MCP, not a general web-search skill or a property-management SaaS backend.
FAQ
Who is NDI MCP Server for?
It is for developers and analysts using AI agents who need Northeast US commercial real estate search, comps, and scoring through MCP.
When should I use NDI MCP Server?
Use it during market and deal research before you build dashboards, models, or commit to acquisitions that need grounded comp and scoring data.
How do I add NDI MCP Server to my agent?
Obtain an API key at northeastdealintel.com/agent-api.html, set NDI_API_KEY in your environment, install the PyPI ndi-mcp-server package, and add it as a stdio MCP server in your client config.