
NDI MCP Server
Let an AI assistant search Northeast US commercial real estate deals, pull comps, and score opportunities while you evaluate acquisitions or brokerage workflows.
Overview
NDI MCP Server is a MCP server for the Idea phase that lets agents search Northeast US commercial real estate deals, fetch comps, and score deals via the Northeast Deal Intel API.
What is this MCP server?
- 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
- Server version 1.0.2
- Required environment variable: NDI_API_KEY
- Transport: stdio via PyPI identifier ndi-mcp-server
What problem does it solve?
CRE-focused builders and investors lose hours manually aggregating Northeast deal flow and comps when an agent could query a dedicated intel API instead.
Who is it for?
Solo prop-tech builders, small brokerage teams, or indie 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 do I get? / Deliverables
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
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Journey fit
CRE investors and prop-tech builders start in the idea and research lane—validating markets and deals—before committing software or capital to a build. Deal search, comp lookup, and scoring are research primitives: you gather external market intelligence through an API rather than shipping end-user UI.
How it compares
Domain-specific CRE finance MCP, not a general web-search skill or a property-management SaaS backend.
Common Questions / 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.