MCP server

Agrus.ai — Enterprise AI Agency

io.github.phwizard/mcp-agrus-ai

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

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

Source

At a glance

Type

MCP server

Publisher

Not verified

Status

Working at last check

Tools

7

Token cost

About 2,350 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 mcp-agrus-ai https://mcp.agrus.ai/mcp

Claude Desktop

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

Codex (config.toml)

[mcp_servers.mcp-agrus-ai]
url = "https://mcp.agrus.ai/mcp"

Gemini CLI

{"mcpServers":{"mcp-agrus-ai":{"httpUrl":"https://mcp.agrus.ai/mcp"}}}

Cursor

{"mcpServers":{"mcp-agrus-ai":{"url":"https://mcp.agrus.ai/mcp"}}}

VS Code

{"servers":{"mcp-agrus-ai":{"type":"http","url":"https://mcp.agrus.ai/mcp"}}}

Antigravity

agy mcp add mcp-agrus-ai https://mcp.agrus.ai/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":"mcp-agrus-ai","server_url":"https://mcp.agrus.ai/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"mcp-agrus-ai","server_url":"https://mcp.agrus.ai/mcp"}

Tools

• get_case_study ~222 tokens
  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.
• list_services ~188 tokens
  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.
• list_verticals ~117 tokens
  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.
• query_compliance_position ~334 tokens
  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 th
• request_proposal ~604 tokens
  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 op
• request_quote ~401 tokens
  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 r
• scope_poc ~484 tokens
  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

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