home-services-mcp

home-services-mcp

Home Services MCP by HireNimbus lets AI agents find, compare, and book verified local pros for handyman, renovation, HVAC, plumbing, electrical, and landscaping jobs in supported US metro markets.

Category
Visit Server

README

HireNimbus MCP Server

Model Context Protocol server that connects AI assistants (Claude, ChatGPT, Gemini) to the HireNimbus home-services marketplace. Enables provider search, review aggregation, homeowner profile retrieval, and job booking — all through natural conversation.

Architecture

  • Runtime: Python 3.10, FastAPI, FastMCP (mcp 1.26.0)
  • Transport: Streamable HTTP at /mcp (rewritten from / for root-level MCP clients)
  • Deploy: AWS Lambda (arm64) via SAM + Docker container image; Mangum ASGI adapter
  • Auth: Optional OAuth2 with JWT Bearer tokens; rate limiting per IP

Quick Start

# 1. Local secrets (gitignored — never commit)
cp local.config.example.json local.config.json
# Edit local.config.json with your values (or use .env — see .env.example)

# 2. SAM deploy overrides (ECR image URI — gitignored)
cp samconfig.local.toml.example samconfig.local.toml
# Edit samconfig.local.toml with your AWS ECR repository

# Build & deploy to AWS (local)
sam build && sam deploy --config-file samconfig.toml --config-file samconfig.local.toml

# Local development
pip install -r requirements.txt
uvicorn src.main:app --reload

GitHub Actions auto-deploy on main uses repository secrets (see internal deploy docs).

Configuration

Sensitive values live in local.config.json (gitignored) or environment variables. Copy local.config.example.json → local.config.json and fill in your values. Env vars always take precedence.

Public defaults remain in code for shared HireNimbus API endpoints (service.hirenimbus.com). URLs, tokens, and credentials must be set explicitly.

Variable Purpose
PROVIDERS_API Provider search endpoint
REVIEWS_API Provider profile & reviews base URL
BOOKING_API Job creation endpoint
COORDS_RESOLVE_API City/text to coordinates resolution
ZIP_RESOLVE_API ZIP to city resolution
SEND_BOOK_NOTIFICATION_API SMS notification to homeowner
SEND_JOB_TO_SLACK_API Slack job alerts
MCP_MONITOR_ENABLED Post MCP auth/tool events to Slack (default: true)
MCP_MONITOR_SLACK_CHANNEL Slack channel for MCP monitor events (default: mcp-monitor)
MCP_MONITOR_SLACK_API Slack webhook for monitor events (defaults to SEND_JOB_TO_SLACK_API)
OAUTH_CLIENT_ID / OAUTH_CLIENT_SECRET Enable OAuth2 (both must be set)
OAUTH_TOKEN_TTL Access token lifetime in seconds (default: 3600)
RATE_LIMIT_RPM Requests per minute per IP (default: 60, 0 = off)
PUBLIC_BASE_URL Canonical public URL for OAuth issuer/audience

MCP Tools

Implemented

search_providers

Search for home service professionals near a location.

Parameter Type Required Description
query string Yes Service keyword — "plumber", "HVAC repair", "house cleaning"
location object Yes One of: {"text": "Alexandria, VA"}, {"zip": "22314"}, or {"lat": 38.8, "lng": -77.0}
page int No Pagination page (default: 1)
limit int No Results count (default: 6)

Returns: providers list (name, slug, profile_url, rating, reviews_count, highlights) + resolved_location.


get_provider_details

Full profile for a single provider — bio, services, areas, hours, FAQ, photos.

Parameter Type Required Description
slug string Yes Provider slug from search_providers results

Returns: name, about, profile_url, profile_image_url, primary_service, services_offered, operational_areas, rating, reviews_count, hours_of_operation, faq, media_count, booking_supported.


get_provider_reviews

Aggregated reviews from Google, Yelp, Thumbtack, HomeAdvisor, and Nimbus.

Parameter Type Required Description
slug string Yes Provider slug from search_providers results
page int No Pagination page (default: 1)
page_size int No Reviews per page, 1–10 (default: 5)

Returns: reviews list (reviewer_name, date, rating, comment, source), stats (avg_rating, total_reviews), pagination, profile_url.


get_homeowner_profile

Returns the OAuth-linked homeowner's saved name, phone, and address. No parameters — identity comes from the JWT session.

Returns: connected, name, phone, address, source, tool_sourced_only.


create_booking

Submit a job request to a provider. Triggers instant SMS + Slack notification.

Parameter Type Required Description
serviceProviderSlug string Yes Provider slug
name string Yes Homeowner full name
phone string Yes Homeowner phone
job_description string Yes Detailed description of work needed
address object Yes Must include address1, city, region, postalCode
source string No AI assistant name (default: "AI Assistant")
location object No Optional geocoding hint (same format as search_providers)

Returns: status, job_id, message, details (notification delivery status).


Planned Tools

process_payment

Process a payment for a completed or quoted job through the Nimbus platform.

Parameter Type Required Description
job_id string Yes Job identifier from create_booking
amount number Yes Payment amount in USD
payment_method string Yes One of: card_on_file, new_card, bank_transfer
card_token string No Required when payment_method is new_card

Expected returns: status (success/pending/failed), transaction_id, receipt_url, message.

Typical flow: After a provider sends an estimate through Nimbus, the homeowner confirms the amount and the assistant processes payment via this tool. Supports saved payment methods and one-time card tokens.


approve_invoice

Review and approve (or reject) an invoice submitted by a service provider.

Parameter Type Required Description
invoice_id string Yes Invoice identifier
action string Yes One of: approve, reject, request_revision
notes string No Homeowner comments or reason for rejection

Expected returns: status, invoice_id, updated_amount, provider_notified, message.

Typical flow: The assistant retrieves pending invoices for the homeowner, presents line items and totals, and lets the homeowner approve, reject, or request changes — all conversationally.


schedule_appointment

Book a specific date and time slot with a provider for an existing or new job.

Parameter Type Required Description
serviceProviderSlug string Yes Provider slug
job_id string No Existing job ID (if scheduling for an already-booked job)
preferred_date string Yes ISO 8601 date (2025-03-28)
preferred_time_slot string Yes One of: morning, afternoon, evening, or specific time like 14:00
notes string No Special instructions (access codes, pet info, etc.)

Expected returns: status (confirmed/pending_provider), appointment_id, confirmed_datetime, provider_notified, message.

Typical flow: After booking a job, the homeowner asks "Can I get this done Friday morning?" — the assistant checks provider availability and locks in a time slot, notifying both parties.


Typical Conversation Flow

User: "I need a plumber in Alexandria, VA"
  -> search_providers(query="plumber", location={"text": "Alexandria, VA"})

User: "Tell me more about the first one"
  -> get_provider_details(slug="...")

User: "What do people say about them?"
  -> get_provider_reviews(slug="...")

User: "Book them for a leaking faucet"
  -> get_homeowner_profile()          # load saved name/phone/address
  -> [confirm with user]
  -> create_booking(...)              # submit job + notify provider

User: "Schedule it for Friday morning"
  -> schedule_appointment(...)        # (planned)

User: "They sent an invoice — looks good, approve it"
  -> approve_invoice(...)             # (planned)

User: "Pay with my card on file"
  -> process_payment(...)             # (planned)

License

This repository is source-available under the HireNimbus Demo Software License. It is provided for demo, reference, and evaluation purposes only. It is not open source and is not licensed for commercial, production, hosted, or competitive use.

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured