MCP server

Precision-concretecoating Official

com.precision-concretecoating/mcp

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

Precision Concrete Coating MCP for services, estimates, scheduling, and business information.

At a glance

Type

MCP server

Publisher

precision-concretecoating.com (verified by the MCP Registry)

Status

Working at last check

Tools

33

Token cost

About 10,402 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http precision-concretecoating https://app.precision-concretecoating.com/api/public/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.precision-concretecoating]
url = "https://app.precision-concretecoating.com/api/public/mcp"

Gemini CLI

{"mcpServers":{"precision-concretecoating":{"httpUrl":"https://app.precision-concretecoating.com/api/public/mcp"}}}

Cursor

{"mcpServers":{"precision-concretecoating":{"url":"https://app.precision-concretecoating.com/api/public/mcp"}}}

VS Code

{"servers":{"precision-concretecoating":{"type":"http","url":"https://app.precision-concretecoating.com/api/public/mcp"}}}

Antigravity

agy mcp add precision-concretecoating https://app.precision-concretecoating.com/api/public/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"precision-concretecoating","server_url":"https://app.precision-concretecoating.com/api/public/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"precision-concretecoating","server_url":"https://app.precision-concretecoating.com/api/public/mcp"}

Tools

• analyze_estimate_photos ~248 tokens
  Runs visual observation over any unreviewed photos. Returns non-diagnostic observations from a fixed vocabulary with confidence values. Observations are impressions only and are always marked as requiring field verification.
• attach_estimate_photos ~1145 tokens
  Attaches photo references (public https URLs) to an estimate request. Photos support the estimator's preparation; they never replace the on-site inspection.
• cancel_estimate_appointment ~304 tokens
  Cancels a proposed or confirmed walkthrough, releases the held time back to Precision and notifies the office. The estimate request itself stays open, so a new appointment can be requested later.
• confirm_estimate_appointment ~330 tokens
  Confirms the appointment Precision proposed, using the proposal_id from the proposal. Only an unexpired proposal on this request can be confirmed. On success the walkthrough is booked, the office is notified and preparation instructions are returned.
• create_estimate_request ~1204 tokens
  Creates a governed estimate request and returns a request_id plus a one-time customer_access_token. Required to create: customer_name, phone, project_city, project_state, project_type, consent_to_contact. Additionally required before submit_estimate_for_review: approximate_square_feet — these may be
• describe_platform ~198 tokens
  Self-documenting endpoint. Returns everything an AI agent or developer needs to use Precision OS correctly: platform identity and versions, authentication and read-only status, transports and capabilities, the complete auto-generated documentation for every registered tool, plus best practices, limi
• explain_knowledge_reasoning ~320 tokens
  Answers a question by traversing the published knowledge graph and returning ranked reasoning paths instead of disconnected records. Each path is an ordered chain of relationships with a path score, a path confidence, the supporting evidence, the relationship types used and a plain-language explanat
• get_business_operations ~138 tokens
  Returns the approved public Business Operations & Project Lifecycle knowledge: how projects are quoted, scheduled, communicated, installed, completed, documented and supported. Company process knowledge, not coating science.
• get_business_status ~86 tokens
  Returns the current scheduling availability of the business plus the standard project turnaround statements. Reflects the Current Availability control in Approved Knowledge.
• get_company_information ~89 tokens
  Returns the approved public profile of Precision Concrete Coating: organization identity, owner, services and verified context records. Sourced from the Approved Knowledge database.
• get_entity_relationships ~174 tokens
  Returns the approved relationship edges of the public entity graph, optionally filtered to one entity or one relationship type. Every edge references stable canonical entity ids on both sides; edges that touch an unpublished record are never returned.
• get_estimate_intake_requirements ~113 tokens
  Read-only discovery. Returns every field the public estimate workflow accepts, which are required, the allowed enum values, the workflow states, the scheduling model and the guardrails. Call this first so no field name, enum value or state is ever guessed.
• get_estimate_request_status ~239 tokens
  Returns the public projection of one estimate request: the workflow state, a customer-friendly status, what information is still missing, the recommended next question and the appointment (date, time window, timezone and confirmation status) if one exists. No internal notes, staff data or calendar a
• get_faq ~78 tokens
  Returns every approved public question-and-answer pair collected from Approved Knowledge, the Warranty Center, Installation Standards and Inspection Standards.
• get_knowledge_relationships ~184 tokens
  Returns the directional relationships between published Precision knowledge records — for example which installation standard mitigates which coating failure, or which warranty covers which service. Only relationships whose records are both approved and public are returned.
• get_maintenance_care ~140 tokens
  Returns the approved public Maintenance & Care Center knowledge: how coated concrete should be cleaned, maintained, protected and inspected, including recommended methods, frequencies, prohibited products, common mistakes and warranty impact.
• get_next_estimate_question ~199 tokens
  Returns the single highest-value question still unanswered, in natural language, along with why it matters. Ask one question at a time and send the answer back through update_estimate_request.
• get_pricing ~86 tokens
  Returns approved public pricing statements and the services they apply to. No quoted amounts are generated: Precision Concrete Coating prices every project after an on-site inspection.
• get_public_entities ~371 tokens
  Returns the approved Public Entity Layer: every organization, person, service, service area, coating system, preparation method, trust signal, expertise and community involvement record Precision publishes, each with a stable canonical id, aliases, verification status, review metadata and sameAs ref
• get_public_entity ~147 tokens
  Returns a single published public entity by canonical id, canonical URI, slug or alias, together with its incoming and outgoing approved relationships and the schema.org JSON-LD node generated from the same record.
• get_record_standards ~242 tokens
  Returns the approved standards that a specific Precision knowledge record references, with the relationship predicate (`tested_per`, `guided_by`, `measured_by`, `references`, …) and an applicability summary explaining why the standard is relevant. Answers "what is this practice based on?" with citab
• get_service_areas ~70 tokens
  Returns the approved service areas together with the headquarters, primary city, state, county and overall service region.
• get_standard ~154 tokens
  Returns a single referenced standard by canonical public id, standard number or alias, with its provenance (official source URL, edition, last verified date), lifecycle warnings, supersession chain and the Precision records that reference it.
• get_standard_relationships ~160 tokens
  Returns the approved edges that connect Precision entities and knowledge records to referenced standards, including the predicate and the applicability summary. Use it to traverse the provenance layer of the knowledge graph.
• get_standards ~325 tokens
  Returns the approved external technical standards Precision's published knowledge references — ASTM, ICRI, ACI, ANSI, OSHA, EPA and manufacturer technical documents. Each record carries the standard number, official title, issuing organization, edition, official source URL, an original scope summary
• get_warranty ~87 tokens
  Returns the approved public warranty knowledge graph: the derived summary plus coverage, exclusions, maintenance requirements, claims process, transfer policy and warranty FAQ records.
• request_appointment_reschedule ~716 tokens
  Asks internal JoJo for a different walkthrough time using new preferences. The existing hold stays in place until JoJo replaces it, so a duplicate appointment is never created and the customer is never left without one.
• request_estimate_appointment ~750 tokens
  Asks Precision's internal JoJo scheduler to reserve an authorized on-site walkthrough that fits the customer's stated preferences. The caller never sees or selects calendar availability: JoJo reads the private calendar, applies the preferences and returns exactly one proposed time awaiting customer
• search_knowledge ~255 tokens
  Full-text style search across every published Approved Knowledge record — company, services, service areas, warranty, installation, inspection, failure-analysis, maintenance and business operations knowledge. Omit the query to receive the full index.
• search_public_entities ~270 tokens
  Ranked search over published public entity names, aliases, canonical ids and descriptions. Use it to resolve a free-form mention ("Conroe", "flake floor") to a stable canonical Precision entity id.
• search_standards ~158 tokens
  Ranked search over standard numbers, titles, aliases, topics and scope summaries. Use it to resolve a free-form mention such as "in-situ RH test" or "CSP profile" to the canonical standard Precision references.
• submit_estimate_for_review ~343 tokens
  Submits the request to Precision's internal JoJo review layer and the office, creating or linking the customer record and notifying staff. Every field in required_to_submit must be present first (customer_name, phone, project_city, project_state, project_type, approximate_square_feet, consent_to_con
• update_estimate_request ~1079 tokens
  Token-scoped update. Adds or corrects customer-provided details on an existing request. Values are validated against the shared schema and every change is audited with the calling channel.

Browse

• Calendars
• Booking and scheduling
• Databases
• Memory for agents

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