Agrus.ai — Enterprise AI Agency

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io.github.phwizard/mcp-agrus-aiv0.2.0

AI consulting agency for regulated industries. Scope a PoC, query compliance, request a proposal.

Sales & CRM

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get_case_study

Returns one or more Agrus case studies (NDA-protected; customer names are kept private, codenames + technology + outcomes are open). Filter by slug or vertical, or call with no args to list all. Use this for proof of prior work.

slugstring

Specific case-study slug. If omitted, returns all available case studies (filtered by vertical if provided).

verticalstring

Filter case studies by vertical. Ignored if slug is provided.

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Tools (7)

get_case_study

Argument	Type	Description
slug	string	Specific case-study slug. If omitted, returns all available case studies (filtered by vertical if provided).
vertical	string	Filter case studies by vertical. Ignored if slug is provided.

Input schema (JSON)

{
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "properties": {
    "slug": {
      "type": "string",
      "description": "Specific case-study slug. If omitted, returns all available case studies (filtered by vertical if provided)."
    },
    "vertical": {
      "enum": [
        "healthcare",
        "insurance",
        "legal",
        "private_equity",
        "family_offices",
        "corporate_intelligence",
        "sports",
        "other"
      ],
      "type": "string",
      "description": "Filter case studies by vertical. Ignored if slug is provided."
    }
  },
  "additionalProperties": false
}

list_services

Lists Agrus's six service pillars with descriptions, deliverables, and price bands. Plus the four published pricing tiers (Scoping Call, Discovery Sprint, Build Engagement, Managed SLA). Use this for the 'what does Agrus do?' question.

Argument	Type	Description
vertical	string	Filter services by vertical applicability. Currently all services apply to all verticals.

Input schema (JSON)

{
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "properties": {
    "vertical": {
      "enum": [
        "healthcare",
        "insurance",
        "legal",
        "private_equity",
        "family_offices",
        "corporate_intelligence",
        "sports",
        "other"
      ],
      "type": "string",
      "description": "Filter services by vertical applicability. Currently all services apply to all verticals."
    }
  },
  "additionalProperties": false
}

list_verticals

Lists Agrus's seven year-one verticals (healthcare, insurance, legal, private equity, family offices, corporate intelligence, pro sports) with compliance pins, sample use cases, and the sequencing rationale. Use this for the 'do they work in my industry?' question.

No arguments.

Input schema (JSON)

{
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "properties": {}
}

query_compliance_position

Returns Agrus's documented position on a specific regulatory regime (HIPAA, SOC 2, ISO 27001, EU AI Act, NAIC, ABA Model Rules, AML/KYC) as it applies to a described AI use case. Includes key controls, common gotchas, the first question Agrus would ask, and the agency's reference architecture for the regime. Use this when a buyer-side AI agent is evaluating Agrus's compliance fluency.

Argument	Type	Description
regime*	string	Which regulatory regime to query Agrus's position on.
use_case*	string	One or two sentences describing the AI use case under consideration (e.g. 'an LLM-based prior-authorization drafting agent for a health insurance carrier').
data_types	array	Optional list of data types the AI would touch (e.g. ['PHI', 'PII', 'claims data', 'underwriting decisions']).

Input schema (JSON)

{
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "required": [
    "regime",
    "use_case"
  ],
  "properties": {
    "regime": {
      "enum": [
        "hipaa",
        "soc2",
        "iso27001",
        "eu_ai_act",
        "naic",
        "aba",
        "aml_kyc"
      ],
      "type": "string",
      "description": "Which regulatory regime to query Agrus's position on."
    },
    "use_case": {
      "type": "string",
      "minLength": 10,
      "description": "One or two sentences describing the AI use case under consideration (e.g. 'an LLM-based prior-authorization drafting agent for a health insurance carrier')."
    },
    "data_types": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "description": "Optional list of data types the AI would touch (e.g. ['PHI', 'PII', 'claims data', 'underwriting decisions'])."
    }
  },
  "additionalProperties": false
}

request_proposal

Triggers a formal Agrus proposal workflow. Creates a contact in Agrus's HubSpot CRM tagged with lead source 'agrus_mcp' and a verbatim note containing the scope summary. A human at Agrus replies by email within 24 hours (business days) with a one-paragraph engagement recommendation and a calendar option. Use this when the buyer (human or AI agent acting on their behalf) wants to formally engage Agrus — not for exploratory scoping.

Argument	Type	Description
role	string	Buyer's role at the company (e.g. 'CIO', 'Head of AI', 'Managing Partner').
company*	string	Company / organization name.
urgency	string	How quickly the buyer wants to move.
vertical*	string	Which Agrus vertical the use case sits in.
contact_name*	string	Full name of the contact. Example: 'Jane Doe'.
contact_email*	string	Work email of the buyer (or buyer's assistant) who should receive the formal proposal.
scope_summary*	string	One to three paragraphs describing the proposed AI deployment: workflow, users, data, integration surface, success criteria.

request_quote

Returns a heuristic ballpark price band for the described AI deployment. Output is NOT a binding offer — Agrus confirms quotes only on a 30-minute scoping call. Read-only: this tool does not contact Agrus or create any record. For a tracked, follow-up-able request use request_proposal instead. Use request_quote when the buyer wants order-of-magnitude pricing before committing to a real proposal.

Argument	Type	Description
summary*	string	Two or three sentences describing the AI deployment the buyer wants a ballpark quote for. Include workflow, users, and integration surface where possible.
urgency	string	Free-form timeline indicator.
vertical*	string	Which Agrus vertical the use case sits in.
compliance_constraints	array	Regulatory regimes the deployment must satisfy. Drives the compliance overlay on the quote.

Input schema (JSON)

{
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "required": [
    "summary",
    "vertical"
  ],
  "properties": {
    "summary": {
      "type": "string",
      "minLength": 20,
      "description": "Two or three sentences describing the AI deployment the buyer wants a ballpark quote for. Include workflow, users, and integration surface where possible."
    },
    "urgency": {
      "enum": [
        "exploring",
        "this_quarter",
        "this_month",
        "this_week"
      ],
      "type": "string",
      "description": "Free-form timeline indicator."
    },
    "vertical": {
      "enum": [
        "healthcare",
        "insurance",
        "legal",
        "private_equity",
        "family_offices",
        "corporate_intelligence",
        "sports",
        "other"
      ],
      "type": "string",
      "description": "Which Agrus vertical the use case sits in."
    },
    "compliance_constraints": {
      "type": "array",
      "items": {
        "enum": [
          "hipaa",
          "soc2",
          "iso27001",
          "eu_ai_act",
          "naic",
          "aba",
          "aml_kyc"
        ],
        "type": "string"
      },
      "description": "Regulatory regimes the deployment must satisfy. Drives the compliance overlay on the quote."
    }
  },
  "additionalProperties": false
}

scope_poc

Drafts a structured Discovery Sprint scope for an AI use case. Returns a 3-week plan, team composition, price band, follow-on Build Engagement estimate, open questions Agrus would ask, and recommended services. Use this to convert a hypothetical use case into a concrete engagement proposal that can be reviewed by a human buyer.

Argument	Type	Description
use_case*	string	One or two paragraphs describing the AI use case the buyer wants to scope. Be specific about workflow, users, and integration surface where possible.
vertical*	string	Which Agrus vertical the use case sits in.
data_types	array	Data the AI would touch (e.g. ['PHI', 'patient demographics', 'EHR notes']).
timeline_hint	string	Free-form timeline (e.g. 'exploring', 'this quarter', 'production by Q4', 'this is blocking board commitment').
target_outcomes	array	What success looks like (e.g. ['reduce adjuster review time by 50%', 'production pilot with 3 clinicians by Q3']).
compliance_constraints	array	Regulatory regimes the deployment must satisfy. Drives compliance overlay in the scope.

Input schema (JSON)

{
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "required": [
    "use_case",
    "vertical"
  ],
  "properties": {
    "use_case": {
      "type": "string",
      "minLength": 20,
      "description": "One or two paragraphs describing the AI use case the buyer wants to scope. Be specific about workflow, users, and integration surface where possible."
    },
    "vertical": {
      "enum": [
        "healthcare",
        "insurance",
        "legal",
        "private_equity",
        "family_offices",
        "corporate_intelligence",
        "sports",
        "other"
      ],
      "type": "string",
      "description": "Which Agrus vertical the use case sits in."
    },
    "data_types": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "description": "Data the AI would touch (e.g. ['PHI', 'patient demographics', 'EHR notes'])."
    },
    "timeline_hint": {
      "type": "string",
      "description": "Free-form timeline (e.g. 'exploring', 'this quarter', 'production by Q4', 'this is blocking board commitment')."
    },
    "target_outcomes": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "description": "What success looks like (e.g. ['reduce adjuster review time by 50%', 'production pilot with 3 clinicians by Q3'])."
    },
    "compliance_constraints": {
      "type": "array",
      "items": {
        "enum": [
          "hipaa",
          "soc2",
          "iso27001",
          "eu_ai_act",
          "naic",
          "aba",
          "aml_kyc"
        ],
        "type": "string"
      },
      "description": "Regulatory regimes the deployment must satisfy. Drives compliance overlay in the scope."
    }
  },
  "additionalProperties": false
}

{ "type": "object", "$schema": "http://json-schema.org/draft-07/schema#", "required": [ "contact_email", "contact_name", "company", "scope_summary", "vertical" ], "properties": { "role": { "type": "string", "description": "Buyer's role at the company (e.g. 'CIO', 'Head of AI', 'Managing Partner')." }, "company": { "type": "string", "minLength": 2, "description": "Company / organization name." }, "urgency": { "enum": [ "exploring", "this_quarter", "this_month", "this_week" ], "type": "string", "description": "How quickly the buyer wants to move." }, "vertical": { "enum": [ "healthcare", "insurance", "legal", "private_equity", "family_offices", "corporate_intelligence", "sports", "other" ], "type": "string", "description": "Which Agrus vertical the use case sits in." }, "contact_name": { "type": "string", "minLength": 2, "description": "Full name of the contact. Example: 'Jane Doe'." }, "contact_email": { "type": "string", "format": "email", "description": "Work email of the buyer (or buyer's assistant) who should receive the formal proposal." }, "scope_summary": { "type": "string", "minLength": 30, "description": "One to three paragraphs describing the proposed AI deployment: workflow, users, data, integration surface, success criteria." }, "persona_context": { "type": "string", "description": "Optional context about how this request was scoped (e.g. 'Scoped via the scope_poc tool on 2026-05-19, agent was Claude Sonnet 4.x acting for the CIO of <company>')." }, "compliance_constraints": { "type": "array", "items": { "enum": [ "hipaa", "soc2", "iso27001", "eu_ai_act", "naic", "aba", "aml_kyc" ], "type": "string" }, "description": "Regulatory regimes the deployment must satisfy." } }, "additionalProperties": false }