MCP.Market

Domain Expertise MCP server

by mdfifty50-boop·io.github.mdfifty50-boop/domain-expertise·v0.1.3

Inject deep domain knowledge into any AI agent

B78/100grade B
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Safety scan
B78/100

full report

Adoption
New

0 stars57 downloads/wk

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Domain Expertise tools (8)

write = sends, deletes, buys or posts

Read from the package source without running it. The installed server may list more.

  • assess_complexity

    Assess the complexity of a professional task and recommend whether it needs a generalist or specialist agent. Returns complexity score, required expertise level, and risk factors.

  • get_decision_tree

    Get a structured decision tree for a specific professional scenario. Returns step-by-step decision logic that an expert would follow.

  • get_domain_expertise

    Get structured professional expertise for a specific domain. Returns decision frameworks, key principles, common pitfalls, and expert-level reasoning patterns that transform a generalist AI agent into a domain specialist.

  • get_professional_workflow

    Get the standard professional workflow for a task. Returns the steps an experienced professional would follow, including quality checkpoints and common shortcuts that cause problems.

  • get_regulatory_context

    Get regulatory context for a domain in a specific jurisdiction. Returns applicable laws, regulatory bodies, compliance requirements, and recent changes.

  • get_terminology

    Get professional terminology and definitions for a domain. Returns terms with definitions, usage context, and common misunderstandings.

  • health_check

    Returns server health, uptime, version, and usage stats

  • list_available_domains

    List all available professional domains with descriptions and coverage depth.

Public scan report

scanner v0.1.9 · 2026-09-27 · same rubric, same numbers if you re-run it

no findings
  • Code scan14 source files scanned25/25
  • –Live reliabilityno gateway calls yet and no remote to proben/a
  • –Tool poisoningtools not inspected (local package is not executed); not countedn/a
  • Auth qualitylocal package, no credentials required12/15
  • Maintenancelast push 156 days ago8/15
  • Maintainer identityregistry namespace matches repository owner6/10
Overall 78/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

How Domain Expertise compares

Against every graded AI and agents MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
78/100
higher than 57% of 4,460 AI and agents servers
Tools
8
the typical AI and agents server has 6
Tools that change things
0%
typical: 0%. Fewer write tools means less an agent can break
Downloads a week
57
more than 47% of 1,538 AI and agents servers with a package

What its tools let an agent do: 8 read

Install Domain Expertise in Claude Code, Cursor or VS Code

Runs npx -y domain-expertise-mcp on your machine. Read the scan report first; the gateway never runs local packages.

claude mcp add domain-expertise -- npx -y domain-expertise-mcp
Add to Cursor

What the publisher says

From the Domain Expertise repository's README, as published. We do not edit it. Read it on GitHub

domain-expertise-mcp

Inject structured professional domain expertise into AI agents. Accounting, Islamic finance, cybersecurity, real estate, HR, and 15+ more domains — all via MCP.

Why This Exists

AI agents are generalists. They know a little about everything but lack the structured reasoning patterns that professionals develop over decades. This MCP server bridges that gap — giving any agent access to decision frameworks, professional workflows, terminology, and regulatory context across 24 professional domains.

No other MCP server provides structured domain expertise injection.

What It Does

Core Tools

  • getdomainexpertise — Get structured professional knowledge at three depth levels (overview, practitioner, expert). Includes decision frameworks, key principles, common pitfalls, and expert reasoning patterns.
  • listavailabledomains — See all 24 available professional domains with coverage details.
  • getdecisiontree — Get step-by-step decision logic for specific professional scenarios (e.g., "Is this transaction Sharia-compliant?", "Should I register for VAT?").
  • get_terminology — Professional terms with definitions in English and Arabic. Includes usage context and common misunderstandings.
  • getregulatorycontext — Regulatory bodies, applicable laws, compliance requirements, and recent changes by jurisdiction.
  • assess_complexity — Score a task's complexity and get recommendations for agent capability level needed.
  • getprofessionalworkflow — Standard professional workflows with quality checkpoints and common shortcuts that cause problems.

Supported Domains (24)

Finance: Accounting, Tax, Audit, Islamic Finance, Conventional Banking, Investment, Insurance (Underwriting & Claims)

Legal: Corporate Law, Contract Law, Employment Law

Healthcare: Clinical, Administration, Pharmaceutical

Real Estate: Commercial, Residential

Technology: Cybersecurity, Data Privacy

Operations: Supply Chain, Logistics, Construction, Oil & Gas

People: Education, HR Management

Regional Coverage

Global, GCC, MENA, EU, US, UK, Asia — with GCC-specific knowledge for Saudi Arabia, UAE, Kuwait, Bahrain, Oman, and Qatar.

Installation

Claude Desktop / Claude Code

{
  "mcpServers": {
    "domain-expertise": {
      "command": "npx",
      "args": ["domain-expertise-mcp"]
    }
  }
}

Cursor

Add to .cursor/mcp.json:

{
  "mcpServers": {
    "domain-expertise": {
      "command": "npx",
      "args": ["domain-expertise-mcp"]
    }
  }
}

Use Cases

Building a financial agent? Inject accounting expertise so it handles revenue recognition, lease classification, and IFRS compliance like a CPA.

Islamic finance automation? Get Sharia compliance decision trees, Murabaha/Sukuk structures, and AAOIFI standards for your agent.

Cybersecurity tool? Add incident response workflows, NIST CSF alignment, and NCA/NESA compliance knowledge.

HR automation for GCC? Nitaqat/Saudization calculations, Emiratisation requirements, and end-of-service computations.

Example

Agent: "I need to determine if a client's Islamic finance product is Sharia-compliant"

→ get_decision_tree(domain: "islamic_finance", scenario: "sharia compliance")

Returns a structured decision tree:
1. Does the transaction involve riba (interest)? → If yes: NOT COMPLIANT
2. Is there excessive gharar (uncertainty)? → If yes: NOT COMPLIANT
3. Is the underlying activity halal? → If no: NOT COMPLIANT
4. Is risk genuinely shared? → If no: REVIEW NEEDED
5. If all pass → LIKELY COMPLIANT. Submit to Sharia Board.

Depth Levels

Shortened. The full README is on GitHub.

Nothing above is checked by us. What we check is on the safety report.

Domain Expertise: common questions

Is Domain Expertise MCP server safe?
Mostly: it is graded B (78/100). Read the Domain Expertise safety report
How do I install Domain Expertise?
It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
Does Domain Expertise need an API key?
Not as far as the registry entry and our scan can tell: no credentials are declared or required.
Is Domain Expertise maintained?
The last commit was 194 days ago (2026-04-24). The latest release is v0.1.3.
What can I use instead of Domain Expertise?
Servers from other publishers that do the same job: Basic Memory MCP server, IWE (iwe.md) MCP server and Total Agent Memory MCP server.
How does Domain Expertise compare with other AI and agents MCP servers?
safety score 78/100 (higher than 57% of 4,460 AI and agents servers); tools 8 (the typical AI and agents server has 6); tools that change things 0% (typical: 0%. Fewer write tools means less an agent can break). Full comparison.

Alternatives to Domain Expertise

Same job from other publishers: the closest match first, then the best rated.

  • Basic Memory
    Local-first knowledge management with bi-directional LLM sync via Markdown files.
    B
  • IWE (iwe.md)
    Markdown knowledge base as agent memory. Runs against the notes directory it is started in.
    A
  • Total Agent Memory
    Persistent local memory for coding agents: temporal knowledge graph, procedural and episodic recall
    A

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