Domain expertise injection for AI agents across 20+ industries
Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"io-github-mdfifty50-boop-domain-expertise": {
"command": "<see-readme>",
"args": []
}
}
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Domain expertise injection for AI agents across 20+ industries
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Inject structured professional domain expertise into AI agents. Accounting, Islamic finance, cybersecurity, real estate, HR, and 15+ more domains — all via MCP.
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.
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.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
Global, GCC, MENA, EU, US, UK, Asia — with GCC-specific knowledge for Saudi Arabia, UAE, Kuwait, Bahrain, Oman, and Qatar.
{
"mcpServers": {
"domain-expertise": {
"command": "npx",
"args": ["domain-expertise-mcp"]
}
}
}
Add to .cursor/mcp.json:
{
"mcpServers": {
"domain-expertise": {
"command": "npx",
"args": ["domain-expertise-mcp"]
}
}
}
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.
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.
| Level | Content | Word Count |
|---|---|---|
| Overview | Principles, key standards, common mistakes | ~500 words |