IFS Developer Intelligence MCP Server
An enterprise MCP server that transforms IFS Cloud documentation, local code, and Oracle error knowledge into AI-powered development intelligence, offering 60+ tools for code generation, review, error diagnosis, and deployment.
README
IFS Engineering Copilot Enterprise vNext
An enterprise-grade, multi-agent AI engineering copilot platform transforming official IFS Cloud Technical Documentation (docs.ifs.com), IFS Academy Resource Portal (resourceportal.ifsacademyworld.com), IFS Community Forum (community.ifs.com), local workspace models (*.entity, *.projection, *.client, *.plsql), and Oracle DBA knowledge into a senior-level Engineering Copilot for IFS Cloud development.
🚀 Key Architectural Capabilities (Version Next Release)
1. Multi-Agent Request Orchestrator (src/engine/multiAgentOrchestrator.ts)
- Virtual Agent Dispatcher: Coordinates specialized Virtual Agents (Documentation Agent, Workspace Agent, PL/SQL Agent, Marble Agent, DBA Agent, Security Agent, Impact Analysis Agent, Quality Gate Agent).
- Evidence Synthesis: Combines agent findings into a single, evidence-backed response.
2. Reciprocal Rank Fusion (RRF) & Semantic Synonym Engine (src/rag/hybridSearch.ts)
- RRF RAG Pipeline: Upgraded search scoring using Reciprocal Rank Fusion ($k=60$).
- IFS Domain Synonyms: Automatic domain expansion (e.g. searching "VAT" expands to search
TAX_CALCULATION_APIandSTATUTORY_FEE_API).
3. Real-Time Telemetry & Observability Subsystem (src/engine/telemetryEngine.ts)
- Track request volumes, tool execution counts, latency in milliseconds, tool success/failure rates, and confidence score distribution.
- Live public endpoints:
https://ifs-mcp-server.onrender.com/metrics&https://ifs-mcp-server.onrender.com/health.
4. Consensus & Evidence Comparison Engine (src/engine/consensusEngine.ts)
- Cross-references evidence across Official TechDocs, IFS Academy, IFS Community, Oracle KB, and Local Workspace.
- Detects conflicting context and enforces multi-source evidence verification.
5. Confidence Engine (src/engine/confidenceEngine.ts)
- Computes Confidence Score % (0% - 100%), Quality Grade (A+ to D), and evidence diversity metrics.
- Flags missing context indicators to eliminate AI hallucinations.
6. Deep Root Cause Tracing Engine (src/engine/rootCauseEngine.ts)
- Recursive backtrace engine:
ORA / PLS Error→Package Invalid→View Compilation Failure→Missing Column/Table→Root Cause, Remediation & Verification.
7. Dependency Graph & Impact Analysis Engine (src/engine/dependencyGraphEngine.ts)
- Maps relationships across
Entity↔Projection↔Package↔View↔Table↔Custom Field↔Security Grants↔OData Endpoints. - Evaluates risk levels (
LOW,MEDIUM,HIGH,CRITICAL) and downstream callers before code edits.
8. Self-Validating Quality Gate & Static Analyzer (src/engine/qualityGateEngine.ts)
- Evaluates code against SOLID principles, Cust-layer customization rules, missing
initialcheck implementation;declarations, rawCOMMITinside PL/SQL LUs, and SQL injection risks.
🛠️ 76 Specialized MCP Tools Across 14 Categories
| Category | Key MCP Tools |
|---|---|
| Copilot & Orchestration | copilot_orchestrated_query, analyze_impact, trace_root_cause, evaluate_quality_gate, evaluate_consensus_confidence |
| Documentation & RAG | search_docs, compare_version_docs, related_docs, search_examples |
| Code & Test Generation | generate_unit_test, generate_bulk_plsql, generate_autonomous_transaction, generate_plsql, generate_package, generate_entity, generate_projection, generate_page |
| Oracle DBA & Tuning | oracle_dba_help, explain_execution_plan, analyze_schema, find_table, find_view |
| Reporting & SSRS | generate_xml_report_writer, generate_rdf, generate_rdl, generate_report_parameters |
| Code Review & Quality | review_code, review_architecture, detect_code_smells |
| Oracle Error Diagnosis | explain_ora_error, suggest_fix, explain_plsql_error |
| Integration & REST | generate_rest_api, test_rest_endpoint, generate_ifs_connect_routing |
| Security & Grants | audit_security, grant_projection_access |
| Marble DSL | validate_model, parse_entity, parse_projection, parse_client |
| Workspace & Indexing | index_workspace, search_workspace |
🌐 Universal 100% Local-Independent Cloud Connection
Your MCP Server is running 24/7 on Render cloud:
- Cloud SSE Endpoint:
https://ifs-mcp-server.onrender.com/sse - Cloud Telemetry Endpoint:
https://ifs-mcp-server.onrender.com/metrics - Cloud Health Endpoint:
https://ifs-mcp-server.onrender.com/health - OpenAPI Schema for ChatGPT:
https://ifs-mcp-server.onrender.com/openapi.json
1. Claude Desktop
Copy clients/claude_desktop_config.json to %APPDATA%\Claude\claude_desktop_config.json:
{
"mcpServers": {
"ifs-developer-intelligence": {
"command": "npx",
"args": ["-y", "mcp-remote", "https://ifs-mcp-server.onrender.com/sse"]
}
}
}
2. Cursor IDE
Add new MCP Server in Cursor Settings:
- Type:
command - Command:
npx -y mcp-remote https://ifs-mcp-server.onrender.com/sse
3. VS Code / Windsurf
Use clients/vscode_mcp.json or clients/windsurf_mcp.json:
{
"mcpServers": {
"ifs-developer-intelligence": {
"command": "npx",
"args": ["-y", "mcp-remote", "https://ifs-mcp-server.onrender.com/sse"]
}
}
}
4. ChatGPT (Web Actions / Custom GPTs)
Import Action Schema from URL: https://ifs-mcp-server.onrender.com/openapi.json.
⚙️ Local Development & Testing
# Install dependencies
npm install
# Build TypeScript
npm run build
# Run Vitest test suite (12 tests)
npm test
# Run HTTP / SSE Server locally
npm run start:sse
🛡️ License
MIT License. Built for Enterprise IFS Cloud Development & AI Architecture.
推荐服务器
Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。