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Cohost MCP · agent-native STR data

Connect your AI to
short-term-rental data.

Cohost ships a Model Context Protocol server. Claude — or any MCP agent — can underwrite a property, read a market's supply/demand pulse, check our published forecast accuracy, and pull a jurisdiction's lodging tax and full STR compliance rules, natively, mid-conversation. One line to install. Free to use.

The data tools are free and need no account. Connecting an agent to your own portfolio (listings, reservations, performance) is on the roadmap below — Cohost Silver.

claude — cohost MCP
# add the server, once $ claude mcp add cohost -- cohost mcp-serve # then just ask > Underwrite 123 Cleveland St, Nashville at $625k, 3 bed. ↳ analyze_property → rev band $48–61k/yr, cap 5.8%, permit REQUIRED (Metro STR), median forecast error ±9% (published)
Why an MCP server

Your agent shouldn't guess at the STR market.

Ask Claude to evaluate a deal today and it hallucinates comps. Point it at Cohost's MCP server and every answer is grounded in real market data, paired with the compliance rules nobody else exposes — and each number carries our published forecast error.

Grounded, not guessed

Tools return comp-based numbers from Inside Airbnb data — not a model's best guess. The agent cites real supply, demand, and review velocity.

Compliance-paired

The only STR MCP that pairs market data with jurisdiction permit + lodging-tax + STR rules across 100+ researched jurisdictions. Your agent answers 'can I even run an STR here?'

Honest error bars

Every forecast tool can return our published backtest — median error, worst miss, band-calibration. The agent reports the accuracy state alongside the number.

The tools

Six tools, live today.

analyze_property()

Underwrite one address: revenue forecast band, cap rate, cash-on-cash, compliance posture, and the market's published forecast error.

list_markets()

Every Cohost market — slug, display name, engine readiness — to drive the per-market tools.

get_market_pulse()

A market's supply/demand pulse: active supply, supply-vs-demand growth YoY, quarterly entrant + review series, and the signal.

get_market_accuracy()

A market's published backtest: median error, worst miss, band-calibration rate. We publish these; vendors don't.

estimate_lodging_tax()

The lodging-tax rate + rule citation for a jurisdiction, and the estimated annual tax for a given revenue.

get_compliance_rules()

Full STR rules for a jurisdiction: permit required?, registry URL, tax rate, disallowed property types, per-violation fine, summary, and source/last-verified date.

Install

One line. No account. No keys.

1 · Install the package
pip install "cohost[mcp]"
2a · Claude Code
claude mcp add cohost -- cohost mcp-serve
2b · Claude Desktop (claude_desktop_config.json)
{ "mcpServers": { "cohost": { "command": "cohost", "args": ["mcp-serve"] } } }

The server is a thin client over Cohost's public API — no database access, no privileged path. Run it anywhere. Source is in the cohost package (cohost mcp-serve).

How we compare

Data vendors have dashboards. We have tools your agent can call.

Capability Cohost AirROI AirDNA PriceLabs
Native MCP server (agent-callable tools)
Market data paired with STR compliance rules
Published forecast-accuracy backtest
Lodging-tax estimator by jurisdictionpartial
Connect an agent to your own portfolio (PMS)roadmap
One platform: data + booking + PMS + compliance
PriceFreeFree MCPSubscriptionPer-listing

Comparison reflects each vendor's public posture as of June 2026; capabilities change. AirROI also ships an MCP server — our edge is the compliance pairing, published accuracy, and the agentic-PMS roadmap below.

On the roadmap — the agent-native PMS

Next: connect your agent to your portfolio.

Authenticated tools — scoped to your account with a token you control — so you can ask your AI "what's my occupancy this month?", "which listings need attention today?", or "draft the owner statement for the Gulch loft", and it reads straight from your Cohost Command center. Read-only first, owner-approved writes after. No competitor pairs an MCP server with a full property-management platform. We're building it; we'll say when it ships.