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Agrus.ai — Enterprise AI Agency

R0· no sign-in

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

v0.2.0 · active · repository · descriptor JSON · versions

An agent can connect right now, no human step.Remote endpoint, no authentication, reachable on the last probe.
Quality79good
Trust87of 100
Uptime, 30 days98%
Latency p50304 ms

Connect

8 clients · secrets stay placeholders
{
  "mcpServers": {
    "mcp-agrus-ai": {
      "type": "http",
      "url": "https://mcp.agrus.ai/mcp"
    }
  }
}
claude mcp add --transport http mcp-agrus-ai https://mcp.agrus.ai/mcp
[mcp_servers.mcp-agrus-ai]
url = "https://mcp.agrus.ai/mcp"
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "mcp-agrus-ai": {
      "type": "remote",
      "url": "https://mcp.agrus.ai/mcp",
      "enabled": true
    }
  }
}
{
  "mcpServers": {
    "mcp-agrus-ai": {
      "type": "http",
      "url": "https://mcp.agrus.ai/mcp"
    }
  },
  "deeplink": "cursor://anysphere.cursor-deeplink/mcp/install?name=mcp-agrus-ai&config=eyJ0eXBlIjoiaHR0cCIsInVybCI6Imh0dHBzOi8vbWNwLmFncnVzLmFpL21jcCJ9"
}
{
  "servers": {
    "mcp-agrus-ai": {
      "type": "http",
      "url": "https://mcp.agrus.ai/mcp"
    }
  }
}
{
  "mcpServers": {
    "mcp-agrus-ai": {
      "httpUrl": "https://mcp.agrus.ai/mcp"
    }
  }
}
extensions:
  "mcp-agrus-ai":
    enabled: true
    name: "mcp-agrus-ai"
    type: streamable_http
    uri: "https://mcp.agrus.ai/mcp"
    timeout: 300

Quality 79 / 100good

protocol75 · weight 25
  • warn
    protocol.modernnewest supported version is 2025-11-25; 2026-07-28 not supported, older versions are deprecated until 2027-07-28
  • n/a
    protocol.statelessonly applies to 2026-07-28 servers
  • pass
    protocol.transportstreamable HTTP
  • n/a
    protocol.list_ttlonly applies to 2026-07-28 servers
authorizationn/a · weight 15
  • n/a
    auth.prm, auth.as_metadata, auth.cimdno remote uses OAuth
  • n/a
    auth.secret_in_urlno templated URL
tool hygiene71 · weight 30
  • pass
    tools.descriptionsevery tool has a description
  • pass
    tools.description_lengthdescriptions are concise
  • pass
    tools.schemasevery tool has an object input schema
  • fail
    tools.annotationsno tool declares readOnlyHint or destructiveHint, so clients cannot tell safe calls from risky ones
  • fail
    tools.directory_hintsno tool declares all four of readOnlyHint, destructiveHint, idempotentHint and openWorldHint; missing: list_verticals (readOnlyHint, destructiveHint, idempotentHint, openWorldHint); request_quote (readOnlyHint, destructiveHint, idempotentHint, openWorldHint); list_services (readOnlyHint, destructiveHint, idempotentHint, openWorldHint); …
  • pass
    tools.token_costabout 1,985 tokens to load every tool
  • pass
    tools.api_dumptools are not a one-to-one API dump
stability100 · weight 15
  • pass
    stability.changesno tool changes in 30 days
  • pass
    stability.rug_pullno tool changed its meaning under the same name
dependenciesn/a · weight 15
  • n/a
    deps.known_vulns, deps.mcp_sdk_version, deps.resolvableno npm or PyPI package

7 tools, about 1,985 tokens to load them all · tool set e0472aa6f866 · checked 2026-10-20 13:49 UTC

Tool changes

No tool definition changes recorded. A server's first observation is its baseline; later probes record what changes.

Checks run on what our credential-free, read-only probes observe; tools are never called and no code audit is performed. How it is computed.

Trust 87 / 100

provenance80
liveness99
freshness65
hygiene100

+repository +namespace-matches-repo +reachable +uptime-98% ~updated-154d-ago

Derived from observable signals (official registry feed and our own credential-free probes); no code audit performed. How it is computed.

Endpoints

remoteauthreachableuptime 30dp50protocollast ok
https://mcp.agrus.ai/mcp streamable-httpnoneyes98%304 ms2025-11-252026-10-20

Tools (7)

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.
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.
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.
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 reference architecture for the regime. Use this when a buyer-side AI agent is evaluating Agrus's compliance fluency.
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 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_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_proposal instead. Use request_quote when the buyer wants order-of-magnitude pricing before committing to a real proposal.
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 engagement proposal that can be reviewed by a human buyer.

Schemas: list_tools.

Similar MCP servers

Official server.json
{
  "name": "io.github.phwizard/mcp-agrus-ai",
  "title": "Agrus.ai — Enterprise AI Agency",
  "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
  "remotes": [
    {
      "url": "https://mcp.agrus.ai/mcp",
      "type": "streamable-http"
    }
  ],
  "version": "0.2.0",
  "repository": {
    "url": "https://github.com/phwizard/mcp-agrus-ai",
    "source": "github"
  },
  "description": "AI consulting agency for regulated industries. Scope a PoC, query compliance, request a proposal."
}