About domain-expertise
domain-expertise is an MCP server that supplies AI agents with structured knowledge across 24 professional domains. Its tools provide decision frameworks, workflows, terminology, and regulatory context at multiple depth levels.
Key features
- 01Knowledge across 24 professional domains
- 02Three levels of expertise depth
- 03Scenario-based decision trees
- 04Professional terminology in English and Arabic
- 05Regulatory context by jurisdiction
- 06Task complexity assessment and workflows
Use cases
- 01Add accounting reasoning to a finance agent
- 02Check Islamic finance scenarios with decision trees
- 03Support cybersecurity workflows and compliance checks
- 04Guide HR tasks involving GCC requirements
MCP support
Exposes domain expertise, domain listings, decision trees, terminology, regulatory context, complexity assessment, and professional workflows as tools for MCP clients.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
Tools
8Saved tool list · updated 2w ago
This tool takes no parameters.
Details
From the project READMEdomain-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
get_domain_expertise— Get structured professional knowledge at three depth levels (overview, practitioner, expert). Includes decision frameworks, key principles, common pitfalls, and expert reasoning patterns.list_available_domains— See all 24 available professional domains with coverage details.get_decision_tree— 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.get_regulatory_context— 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.get_professional_workflow— 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
| Level | Content | Word Count |
|---|---|---|
| Overview | Principles, key standards, common mistakes | ~500 words |
| Practitioner | + Decision frameworks, regional specifics, expert tips | ~1,500 words |
| Expert | + Reasoning patterns, edge cases, nuanced judgment | ~3,000 words |
Pricing
| Tier | Price | Included |
|---|---|---|
| Free | $0 | 3 domains, 100 queries/month |
| Starter | $29/month | 10 domains, 1,000 queries |
| Pro | $149/month | Unlimited domains, 15,000 queries, custom domain upload |
| Enterprise | $599/month | Unlimited + custom training, team access, SLA |
Requirements
- Node.js 18+
- No API keys needed for free tier
License
MIT
Keywords
domain-expertise, mcp, mcp-server, professional-knowledge, ai-agent, accounting, islamic-finance, cybersecurity, legal, real-estate, healthcare, knowledge-injection, industry-knowledge, model-context-protocol
Comments
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An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.