Agrus.ai — Enterprise AI Agency MCP Server

by phwizard Your server? Claim it

answering

Agrus.ai — Enterprise AI Agency is answering right now. Last checked 3 min ago. It exposes 7 tools.

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

The linked repository no longer exists on GitHub — it was deleted or made private.

Uptime history 91 days of history · worst day 0%

91 days agonow

100.0%

Uptime 24h

91 of 91 checks

Tools

read from the server

549 ms

Response time

average over 24h

open, no key

Access

streamable-http

Agrus.ai — Enterprise AI Agency missed 2 checks this week

Everything else answered, so this is steady rather than shaky. We check every 15 minutes, which is how a one-off gets told apart from the start of a pattern, and how you hear about the next one within the hour instead of from your users.

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 3 min ago.

Claude Code Claude Desktop Codex Cursor VS Code

run in your terminal

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

Settings → Connectors → Add custom connector, then paste this address

https://mcp.agrus.ai/mcp

~/.codex/config.toml

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

.cursor/mcp.json

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

.vscode/mcp.json

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

Available tools 7

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

request

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.

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.

case

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.

compliance

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.

scope

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.

services

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.

verticals

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.

Endpoints

URL	Transport	State	Latency	Checked
https://mcp.agrus.ai/mcp	streamable-http	answering	535 ms	3 min ago

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Agrus.ai — Enterprise AI Agency — questions

Answers built from our own checks of this server.

What can Agrus.ai — Enterprise AI Agency do?

It exposes 7 tools, read directly from the server on our last check. Among them: get_case_study, list_services, list_verticals, query_compliance_position, request_proposal, request_quote and 1 more. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →

Is Agrus.ai — Enterprise AI Agency working right now?

We send a real MCP handshake every 15 minutes. Over the last 24 hours 91 of 91 checks got a reply (100.0%), average response time 549 ms. The bar chart above shows every period we have measured.

Is Agrus.ai — Enterprise AI Agency still maintained?

The linked repository no longer exists on GitHub — it was deleted or made private. We show this because it changes what you can expect: an unmaintained server may keep answering for months and then stop without warning.

How do I connect Agrus.ai — Enterprise AI Agency?

Copy the ready config from this page. We generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each in the form that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.

Does Agrus.ai — Enterprise AI Agency need an API key?

No. Agrus.ai — Enterprise AI Agency completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 7 of them are readable on this page. This is what we observed, not what the docs claim.

How fast is Agrus.ai — Enterprise AI Agency?

It answers our handshake in 549 ms on average, which is faster than 21% of all working MCP servers we measure. That is on the slow side — worth knowing if the tool sits inside an interactive loop. The comparison comes from our own checks across the whole registry, every 15 minutes.