About
Inject deep domain knowledge into any AI agent
Security Report
This MCP server provides structured professional domain expertise through read-only tools that serve reference/educational content. No authentication is required, but the server has no network calls, shell execution, file system writes, or credential handling—it operates entirely on embedded knowledge data. Permissions are appropriate for its purpose (read-only file access for package management), and the code quality is good with proper error handling and input validation. Supply chain analysis found 3 known vulnerabilities in dependencies (0 critical, 3 high severity). Package verification found 1 issue.
5 files analyzed · 7 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
How to Install
Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-mdfifty50-boop-domain-expertise": {
"args": [
"-y",
"domain-expertise-mcp"
],
"command": "npx"
}
}
}Documentation
View on GitHubFrom the project's GitHub README.
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
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
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