Agrus.ai — Enterprise AI Agency

phwizard/mcp-agrus-ai

Connects Claude to Agrus AI's consulting services for navigating AI projects in heavily regulated sectors like healthcare, finance, and government. You can scope proof of concept projects, query compliance requirements for specific use cases, and request formal proposals without leaving your Claude workflow. Useful when you're exploring AI implementation in a regulated context and need expert guidance on what's actually feasible within your compliance constraints. The streamable HTTP transport means it hits their hosted endpoint rather than running locally.

tools: 7
transport: HTTP
last updated: May 19, 2026

View on GitHub

Install

From registry metadata

$ npx add-mcp https://mcp.agrus.ai/mcp --name mcp-agrus-ai

Run in your terminal. add-mcp asks which agents to add it to (Claude Code, Codex, Cursor and more). Add -g to install it for every project.

Review the command, arguments and environment values before installing. MCP servers run with your local permissions.

Other ways

Claude Code

$ claude mcp add --transport http mcp-agrus-ai https://mcp.agrus.ai/mcp

Run in your terminal. Add --scope user to make it available in every project.

Tools

Verified live · 7 tools

Verified live against the running server on Nov 6, 2026.

list_servicesLists 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.1 params

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.

Parameters* required

verticalstring

Filter services by vertical applicability. Currently all services apply to all verticals.one of healthcare · insurance · legal · private_equity · family_offices · corporate_intelligence

list_verticalsLists 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.

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 parameters. Call it with no arguments.

query_compliance_positionReturns 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 refere...3 params

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 refere...

Parameters* required

data_typesarray

Optional list of data types the AI would touch (e.g. ['PHI', 'PII', 'claims data', 'underwriting decisions']).

regime*string

Which regulatory regime to query Agrus's position on.one of hipaa · soc2 · iso27001 · eu_ai_act · naic · aba

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').

get_case_studyReturns 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.2 params

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.

Parameters* required

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.one of healthcare · insurance · legal · private_equity · family_offices · corporate_intelligence

scope_pocDrafts 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 engage...6 params

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 engage...

Parameters* required

compliance_constraintsarray

Regulatory regimes the deployment must satisfy. Drives compliance overlay in the scope.

data_typesarray

Data the AI would touch (e.g. ['PHI', 'patient demographics', 'EHR notes']).

target_outcomesarray

What success looks like (e.g. ['reduce adjuster review time by 50%', 'production pilot with 3 clinicians by Q3']).

timeline_hintstring

Free-form timeline (e.g. 'exploring', 'this quarter', 'production by Q4', 'this is blocking board commitment').

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.one of healthcare · insurance · legal · private_equity · family_offices · corporate_intelligence

request_quoteReturns 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_...4 params

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_...

Parameters* required

compliance_constraintsarray

Regulatory regimes the deployment must satisfy. Drives the compliance overlay on the quote.

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.

urgencystring

Free-form timeline indicator.one of exploring · this_quarter · this_month · this_week

vertical*string

Which Agrus vertical the use case sits in.one of healthcare · insurance · legal · private_equity · family_offices · corporate_intelligence

request_proposalTriggers 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 recommend...9 params

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 recommend...

Parameters* required

company*string

Company / organization name.

compliance_constraintsarray

Regulatory regimes the deployment must satisfy.

contact_email*string

Work email of the buyer (or buyer's assistant) who should receive the formal proposal.

contact_name*string

Full name of the contact. Example: 'Jane Doe'.

persona_contextstring

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>').

rolestring

Buyer's role at the company (e.g. 'CIO', 'Head of AI', 'Managing Partner').

scope_summary*string

One to three paragraphs describing the proposed AI deployment: workflow, users, data, integration surface, success criteria.

urgencystring

How quickly the buyer wants to move.one of exploring · this_quarter · this_month · this_week

vertical*string

Which Agrus vertical the use case sits in.one of healthcare · insurance · legal · private_equity · family_offices · corporate_intelligence

Readme

mcp-agrus-ai

A Model Context Protocol server for Agrus.ai — the front-deployed AI agency for regulated industries.

This server lets AI agents (Claude, ChatGPT, Gemini, custom buyer-side agents) engage Agrus.ai programmatically. A CIO using her internal Claude assistant can ask "find me a HIPAA-compliant AI consultancy that does self-hosted deployments and scope a 2-week PoC for clinical triage" — and that assistant can complete most of the workflow through this MCP server.

Currently ships 5 read-only tools (Phase 1). Write tools (book a call, request a proposal, request a quote) land in Phase 2 — see Roadmap.

Tools

View the full README on GitHub

Details

Repository: github.com/phwizard/mcp-agrus-ai
Transport: HTTP
Registry: MCP registry, active
Tools verified: Nov 6, 2026