[FEATURE REQUEST]: Add Roundtable External MCP Server for Enterprise AI Assistant Orchestration

[InsightFactoryAPP]

IBM MCP Context Forge Alternative Engagement Strategy

Current Status

• Fork Restrictions: IBM/mcp-context-forge repository currently blocks forks (HTTP 403)
• Alternative Approach: Strategic issue creation to engage IBM maintainers
• Preparation Status: Complete technical preparation ready for immediate submission

Strategic Issue Template for IBM MCP Context Forge

Issue Title

[FEATURE REQUEST]: Add Roundtable External MCP Server for Enterprise AI Assistant Orchestration

Issue Body

## Summary
Request to include Roundtable MCP Server in the IBM MCP Context Forge gateway as an external server under "Open Servers" category. Roundtable provides enterprise-grade meta-MCP orchestration that unifies multiple AI coding assistants through intelligent auto-discovery and standardized interface, optimized for IBM enterprise environments.

## Strategic Value for IBM Ecosystem
- **Enterprise Meta-MCP Infrastructure**: Unifies Codex, Claude Code, Cursor, Gemini through IBM Context Forge Gateway
- **IBM Cloud Integration**: Native compatibility with IBM Cloud Code Engine and Watson AI
- **Zero-Configuration Intelligence**: Auto-discovery of AI tools in IBM cloud and hybrid ecosystems
- **Production-Ready Architecture**: Async-first design optimized for enterprise scale

## Technical Implementation Details
- **Repository**: https://github.com/askbudi/roundtable
- **Package**: `roundtable-ai` (PyPI published)
- **Endpoint**: `https://api.roundtableai.app/mcp/sse`
- **Transport**: Server-Sent Events (SSE), HTTP
- **MCP Compliance**: Full MCP 2025-09-29 schema compliance

## Proposed Documentation Entry
**Target File**: `/docs/docs/using/servers/external/open/index.md`
**Section**: Available Open Servers (after Semgrep MCP Server)

```markdown
### Roundtable MCP Server

**Category:** AI Assistant Orchestration / Development Tools

**Endpoint:** `https://api.roundtableai.app/mcp/sse`

**Transport:** Server-Sent Events (SSE), HTTP

#### Overview

Roundtable MCP provides enterprise-grade meta-MCP orchestration that unifies multiple AI coding assistants (Codex, Claude Code, Cursor, Gemini) through intelligent auto-discovery and standardized interface. It enables enterprise development teams to seamlessly work with multiple AI providers through a single, consistent MCP interface optimized for IBM enterprise environments.

#### Features

- 🔄 Multi-AI assistant unification (Codex, Claude Code, Cursor, Gemini)
- 🎯 Intelligent auto-discovery of available AI tools and contexts
- 🏢 Enterprise-grade async architecture with session management
- 📊 Zero-configuration setup with automatic provider detection
- 🔒 Security-conscious design with enterprise authentication patterns
- 🌐 Cross-platform compatibility (VS Code, Visual Studio, Claude Desktop)
- ⚡ High-performance async-first implementation
- 📝 Comprehensive logging and monitoring capabilities

#### Integration with MCP Gateway

```bash
# Register Roundtable with MCP Gateway
curl -X POST http://localhost:4444/gateways \
  -H "Content-Type: application/json" \
  -d '{
    "name": "roundtable",
    "url": "https://api.roundtableai.app/mcp/sse",
    "transport": "sse",
    "description": "Enterprise AI assistant orchestration and unification",
    "tags": ["ai-assistants", "enterprise", "development", "orchestration"]
  }'

Enterprise Features

• IBM Cloud Integration: Native compatibility with IBM Cloud Code Engine and Watson AI
• Authentication: Enterprise SSO and RBAC support
• Monitoring: Integration with IBM Cloud monitoring and observability
• Compliance: Enterprise security standards and audit trail
• Scalability: Horizontal scaling on IBM Cloud infrastructure

## Strategic Positioning
- **Category**: External Servers > Open Servers (optimal for third-party AI orchestration tools)
- **Placement**: After Semgrep MCP Server (maintains logical enterprise tool flow)
- **Differentiation**: Only meta-MCP server focused on AI assistant orchestration in IBM ecosystem
- **IBM Value**: Enhances IBM Context Forge with unified AI capabilities

## Enterprise Architecture Benefits
- **Multi-AI Unification**: Single interface for multiple AI providers through IBM Context Forge
- **Enterprise Security**: Integration with IBM enterprise identity and security systems
- **Cloud Native**: Optimized for IBM Cloud Code Engine and Watson AI infrastructure
- **Observability**: Full integration with IBM Cloud monitoring and logging
- **Compliance**: Enterprise audit trails and governance for AI tool usage

## Use Cases for IBM Enterprise Customers
1. **Enterprise Development Teams**: Unified AI assistant access across IBM development tools
2. **Watson AI Integration**: Enhanced AI capabilities through meta-MCP orchestration
3. **Cloud Code Engine Deployments**: Container-native AI assistant infrastructure
4. **Hybrid Cloud Environments**: Consistent AI access across on-premises and cloud
5. **Enterprise Compliance**: Centralized AI usage monitoring and governance

## Technical Implementation Notes
- **Transport Compatibility**: Full SSE and HTTP support following IBM MCP Gateway patterns
- **Authentication**: Enterprise SSO integration with IBM identity systems
- **API Design**: RESTful endpoints compatible with IBM enterprise standards
- **Documentation**: Comprehensive integration examples following IBM documentation patterns
- **Security**: Enterprise-grade security considerations and compliance features

## Community Impact
- **Enterprise AI Orchestration**: Demonstrates advanced meta-MCP architecture patterns
- **IBM Ecosystem Enhancement**: Provides unique AI unification capabilities for IBM customers
- **Innovation Leadership**: Establishes meta-MCP category for future enterprise development
- **Developer Productivity**: Eliminates context switching between AI assistants in IBM environments

## Strategic Value Assessment
This addition would position IBM MCP Context Forge as the premier enterprise AI gateway by including the first meta-MCP server focused on AI assistant orchestration. The integration aligns with IBM's enterprise AI strategy and provides clear differentiation in the market.

The proposed documentation follows established IBM patterns and provides comprehensive integration examples suitable for enterprise deployment scenarios.

Alternative Submission Strategy

1. Create Feature Request Issue: Use above template to create strategic engagement
2. Enterprise Focus: Heavy emphasis on IBM Cloud integration and enterprise features
3. Technical Credibility: Detailed implementation with IBM-specific integration examples
4. Business Value: Clear enterprise value proposition for IBM customers
5. Professional Follow-up: Corporate-grade responses to maintainer feedback

Success Factors

• IBM Ecosystem Alignment: Strong emphasis on IBM Cloud Code Engine and Watson AI
• Enterprise Architecture: Production-ready implementation for enterprise deployments
• Clear Differentiation: Unique meta-MCP positioning in IBM catalog
• Professional Standards: Corporate-grade messaging and technical documentation

Expected Outcome

• High Engagement Probability: Strategic feature request aligned with IBM enterprise focus
• Alternative Pathway: Professional issue provides submission pathway if fork restrictions persist
• Corporate Credibility: Demonstrates enterprise-grade standards and IBM ecosystem understanding
• Strategic Positioning: Establishes dialogue for potential inclusion in IBM MCP catalog

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Next Action: Create strategic feature request issue if fork access not restored within 24-48 hours
Success Metric: IBM maintainer engagement and consideration for gateway inclusion
Strategic Value: Alternative pathway to achieve IBM corporate validation