ProhostAI MCP

Live

OAUTH 2.1

PROPERTY OPS

Automation

ProhostAI MCP gives agents authenticated access to your property operations: manage listings and tasks, run cleaning and pricing workflows, and handle guest messaging under the manager's own account.

  • Per-user credentials: each task and pricing change runs as the actual manager, never a shared bot.
  • Encrypted per-tenant vault: AES-256, resolved at request time, never in LLM context.
  • Scoped before every call: pre-call scope check, 90-day SIEM-exportable audit chain.
ProhostAI MCP
agent · Acme Q3
Run
Which turnovers need a cleaner assigned before tomorrow's check-ins?
S
prohostaimcp_search_tasks
88ms
ProhostAI agent
5 turnovers tomorrow, 2 without a cleaner. Assigned from the standing roster and added the standard checklist to each.
Tasks: 5 turnovers, 2 assigned
prohostaimcp
5 tasks
18:29
Message Claude...

Tools your operations agent reaches for in ProhostAI, scoped per user.

CALL ANY TOOL
Run property operations end to end: manage places and tasks, build cleaning checklists, set pricing overrides, handle approvals, and coordinate guest messaging.
prohostaimcp_list_places
List places
List the account's places with optional filters (tag, category, text search).
Parameters
Name
Type
Required
Description
category
string
Optional
Filter results to places in this category.
has_google_id
string
Optional
Filter to places that do (true) or do not (false) have an associated Google Place ID.
limit
integer
Optional
Maximum number of places to return.
listing_tag_id
string
Optional
Filter results to places tagged with this listing tag ID.
offset
integer
Optional
Number of places to skip before starting to return results, for pagination.
q
string
Optional
Free-text search query to filter places by name or other text fields.
prohostaimcp_search_tasks
Search tasks
prohostaimcp_list_skills
List skills
prohostaimcp_search_guests
Search guests
prohostaimcp_list_listings
List listings
prohostaimcp_search_owners
Search owners
prohostaimcp_list_workflows
List workflows
prohostaimcp_search_reviews
Search reviews
prohostaimcp_list_suggestions
List suggestions
prohostaimcp_search_contacts
Search contacts
prohostaimcp_list_place_tags
List place tags
prohostaimcp_search_expenses
Search expenses
prohostaimcp_list_ai_employees
List ai employees
prohostaimcp_search_memories
Search memories
prohostaimcp_list_listing_tags
List listing tags
prohostaimcp_search_cleanings
Search cleanings
prohostaimcp_list_saved_replies
List saved replies
prohostaimcp_search_reservations
Search reservations
prohostaimcp_list_guidebook_pins
List guidebook pins
prohostaimcp_search_conversations
Search conversations
prohostaimcp_list_listing_photos
List listing photos
prohostaimcp_search_bank_transactions
Search bank transactions
prohostaimcp_list_task_checklists
List task checklists
prohostaimcp_search_ramp_transactions
Search ramp transactions
prohostaimcp_list_upgrade_options
List upgrade options
prohostaimcp_get_owner
Get owner
prohostaimcp_list_owner_statements
List owner statements
prohostaimcp_get_place
Get place
prohostaimcp_list_approval_requests
List approval requests
prohostaimcp_get_listing
Get listing
Build your Agent
Same auth pattern across LangChain, OpenAI, Anthropic, and Google ADK.
Python · LlamaIndex
import { ScalekitClient } from "@scalekit-sdk/node";
import { createReactAgent } from "@langchain/langgraph/prebuilt";

const sk = new ScalekitClient(env.SCALEKIT_ENV_URL, env.SCALEKIT_CLIENT_ID, env.SCALEKIT_CLIENT_SECRET);

// ProhostAI tools scoped to this user
const { tools } = await sk.tools.listScopedTools("user_123", {
  filter: { connectionNames: ["prohostaimcp"], toolNames: [
    "prohostaimcp_list_places",
    "prohostaimcp_search_tasks",
    "prohostaimcp_list_skills"] },
  pageSize: 100,
});

const agent = createReactAgent({ llm, tools });
await agent.invoke({ messages: [{ role: "user", content: "Which turnovers need a cleaner assigned before tomorrow's check-ins?" }] });
import OpenAI from "openai";
import { ScalekitClient } from "@scalekit-sdk/node";

const sk = new ScalekitClient(env.SCALEKIT_ENV_URL, env.SCALEKIT_CLIENT_ID, env.SCALEKIT_CLIENT_SECRET);
const openai = new OpenAI();

const { tools } = await sk.tools.listScopedTools("user_123", {
  filter: { connectionNames: ["prohostaimcp"] }, pageSize: 100,
});

const res = await openai.chat.completions.create({
  model: "gpt-5",
  messages: [{ role: "user", content: "Which turnovers need a cleaner assigned before tomorrow's check-ins?" }],
  tools,
});

// Execute the tool call with the user's vaulted ProhostAI credential
await sk.tools.executeTool(res.choices[0].message.tool_calls[0], "user_123");
import Anthropic from "@anthropic-ai/sdk";
import { ScalekitClient } from "@scalekit-sdk/node";

const sk = new ScalekitClient(env.SCALEKIT_ENV_URL, env.SCALEKIT_CLIENT_ID, env.SCALEKIT_CLIENT_SECRET);
const anthropic = new Anthropic();

const { tools } = await sk.tools.listScopedTools("user_123", {
  filter: { connectionNames: ["prohostaimcp"] }, pageSize: 100,
});

const msg = await anthropic.messages.create({
  model: "claude-sonnet-5",
  max_tokens: 1024,
  messages: [{ role: "user", content: "Which turnovers need a cleaner assigned before tomorrow's check-ins?" }],
  tools,
});

// Tool call runs with the user's vaulted ProhostAI credential
await sk.tools.executeTool(msg.content, "user_123");
import { Agent } from "@google/adk/agents";
import { ScalekitClient } from "@scalekit-sdk/node";

const sk = new ScalekitClient(env.SCALEKIT_ENV_URL, env.SCALEKIT_CLIENT_ID, env.SCALEKIT_CLIENT_SECRET);

const { tools } = await sk.tools.listScopedTools("user_123", {
  filter: { connectionNames: ["prohostaimcp"] }, pageSize: 100,
});

const agent = new Agent({
  name: "prohostai_agent",
  model: "gemini-2.5-pro",
  instruction: "Manage ProhostAI for the signed-in user.",
  tools,
});

await agent.run("Which turnovers need a cleaner assigned before tomorrow's check-ins?");
Try these prompts
Copy any prompt into your agent. Each maps directly to a ProhostAI tool. Click to copy, paste into your agent, done.
Turnovers
Copy the prompt
Copied
Which turnovers need a cleaner before tomorrow?
Copy the prompt
Copied
Add the standard checklist to this cleaning task.
Copy the prompt
Copied
Which cleanings are overdue?
Pricing
Copy the prompt
Copied
Set a pricing override for the lake house next weekend.
Copy the prompt
Copied
Which listings have no pricing rule?
Copy the prompt
Copied
Approve the pending pricing change.
Guests
Copy the prompt
Copied
Draft a check-in message for tonight's arrivals.
Copy the prompt
Copied
Which guests have unanswered messages?
Copy the prompt
Copied
Tag this place as pet-friendly.
SEE HOW AUTH WORKS
Your users connect once. Their ProhostAI credentials stay vaulted, every call is scope-checked, and every action is logged.
1
Authorize
Your user connects
ProhostAI MCP
once. We tie it to their identity and the meetings they approved — no shared bot account, no org-wide access
Who:
user ‘A’
when:
Once per user
access:
Limited to user
2
Store
Their
ProhostAI MCP
token lives in a vault scoped to them. User A's meetings are never reachable by an agent acting for user B, even on the same connection
vault:
encrypted
scope:
per-user
tokens:
auto-refreshed
3
Resolve
When your agent calls a
ProhostAI MCP
tool, we fetch the right token server-side. It never touches your agent, never appears in the LLM context, never shows up in your logs
speed:
~40ms
check:
before every call
seen by:
nobody
4
Audit
Every
ProhostAI MCP
tool call is logged — who triggered it, which meeting was fetched, what came back. 90 days of history, tied to the user who authorized it
history:
90 days
export:
SIEM-ready
logged:
every call
Test other agents
See the same per-user auth pattern across other automation connectors.
People Ops and HR teams
New Hire Provisioning Agent
Open-source Python template. Creates or detects the hire in Deel, provisions their Workspace account, builds the Notion onboarding page, posts the welcome.
People Ops and HR teams
PTO & Leave Request Agent
Open-source Python template. Resolves the employee in Deel, validates against their real entitlement, submits the request for approval, blocks the calendar.
Engineering Teams
Incident Response Agent
Open-source Python template. Triggers the PagerDuty page, opens the Jira incident, notifies the on-call Slack channel, and drafts the Confluence postmortem.
GTM and RevOps Teams
Competitive intelligence briefing agent
Scans Gong calls for competitor mentions, matches each one to its Notion battlecard, and DMs every affected rep a single Slack digest per cycle. Every call runs as the PMM who owns the briefing, never a shared bot.
Test other agents
See the same per-user auth pattern across other automation connectors.
ENGINEERING
DevOps assistant agent
Poll GitHub for failing checks and stale pull requests, open Linear issues for the ones that need work, and digest to Slack.
ENGINEERING
Slack workflow agent (LangGraph)
LangGraph agent that drives multi-step Slack workflows: triggers, approvals, and follow-up actions per user identity.
Why Scalekit
Secure your agent's access. Connectors ship in minutes
01.
Shared keys blur who changed what
A shared ProhostAI token looks fine in a demo. In production every pricing override and guest reply looks like one integration, and you cannot tell which manager acted. Scalekit resolves the credential of the actual user who triggered the agent, never a shared bot.
// shared token
audit → bot_service_account

// scalekit
audit → user_abc ✓
02.
Authentication is not authorization
03.
Multi-tenancy is architectural
04.
ProhostAI today. Ten connectors tomorrow.
“Our agents act across Salesforce, Gong, Google Drive, and more, on behalf of every customer. Scalekit behind the scenes meant we can keep adding tools without ever rebuilding how credentials or tool calling work.”
Venu Madhav Kattagoni
Head of Engineering / Von
FAQs
Frequently Asked Questions

Does the agent access ProhostAI as the user or as a shared key?
As the user. Each workspace member authorizes once and Scalekit resolves their credential at request time. Audit logs attribute every action to that user, not a shared service account.

Where is the ProhostAI OAuth token stored?
In Scalekit's managed AES-256 token vault, namespaced per tenant. Refresh is automatic. Revocation is a single dashboard action. Tokens never appear in prompts, logs, or LLM context.

Can I limit what the agent is allowed to do in ProhostAI?
Yes. Pass a tool name filter to listScopedTools so the automation agent only sees the subset you authorize. Pre-API-call scope checks block out-of-policy actions before the request reaches ProhostAI.

What happens when a user revokes ProhostAI access?
The connection is invalidated on the next tool call. Subsequent requests for that user fail closed with a clear error. Other users in the tenant remain unaffected. The event is logged for audit.

Does the agent respect ProhostAI permissions?
Yes. Every call runs as the authorizing user. Native roles, sharing settings, and scope restrictions in ProhostAI apply to each request, and actions log to the audit chain.

Start in your coding agent
Up and running in one command
Install the Scalekit skill in your editor of choice. Connector, auth, tools, prompt, all wired up
Claude Code REPL
/plugin marketplace add scalekit-inc/claude-code-authstack
/plugin install agentkit@scalekit-auth-stack
Cursor Code REPL
# ~/.cursor/mcp.json
{
""mcpServers"": {
""prohostaimcp"": {
""url"": ""https://mcp.scalekit.com/prohostaimcp"",
""headers"": { ""Authorization"": ""Bearer $SCALEKIT_TOKEN"" }
}
}
}
Codex Code REPL
# ~/.codex/config.toml
[mcp_servers.prohostaimcp]
url = ""https://mcp.scalekit.com/prohostaimcp""
auth_env = ""SCALEKIT_TOKEN""
Copilot Code REPL
# .vscode/mcp.json
{
""servers"": {
""prohostaimcp"": {
""url"": ""https://mcp.scalekit.com/prohostaimcp"",
""type"": ""http""
}
}
}