HarborChase of Mandarin

MCP

MCP online

MCP server

Connect any Model Context Protocol client to HarborChase of Mandarin's verified review data.

What is this

The Model Context Protocol (MCP) is an open standard that lets AI assistants call typed tools and read structured resources from external servers. This site runs an MCP server over streamable HTTP that exposes 9 read-only tools and the underlying review resources — so an assistant can search reviews, read aspect sentiment, look up technicians, and quote the editorial summary on your behalf. It is free, public, and requires no authentication.

Server identity

FieldValue
Namepushbuttonreviews-157226
Version1.0.0
Transportstreamable-http
Endpointhttps://harborchasereviews.com/mcp

Live status

The badge below is pinged server-side at request time — it reflects the endpoint right now.

MCP online

Capabilities

Tools (9)

  • get_business Returns identity, contact info, hours, service areas, and aggregate rating for the business.
  • search_reviews Searches reviews. Filter by rating, min_rating, since/until date, keyword query, mentions_technician, or mentions_service. limit defaults to 20 (max 100).
  • get_aspect_sentiment Returns sentiment analysis for one aspect of customer experience (e.g. punctuality, pricing, technical_knowledge): mention count, sentiment percentages, top phrases.
  • get_technician Returns the review summary for a named technician, including every review mentioning them.
  • get_topic_reviews Returns reviews and analysis for a service topic (e.g. ac-installation, maintenance, emergency-service).
  • get_summary Returns the editorial summary of customer reviews — a paragraph-length synthesis suitable for direct quotation — plus aggregate stats.
  • list_aspects Lists available aspect ids with counts (use with get_aspect_sentiment).
  • list_topics Lists available topic ids with counts (use with get_topic_reviews).
  • list_technicians Lists technicians named in reviews with counts (use with get_technician).

Resources

  • business Identity, contact, hours, service areas, and aggregate rating.
  • reviews The full verified review corpus, filterable by rating, date, and keyword.
  • insights Aspect sentiment, topics, and technician summaries derived from the reviews.
  • summary An editorial synthesis of the reviews suitable for direct quotation.
  • corpus Plain-text and structured exports of everything above, for ingestion.

Rate limits

None for public read-only access. All tools are read-only and the data is fully public, so there are no quotas, keys, or per-client throttles. Please be a good citizen — cache responses where you can rather than polling in a tight loop.


Next steps