MCP Server Registry Automation

I'll help you register your MCP (Model Context Protocol) servers across all major directories and registries. Let me understand your servers:

## Understanding Your MCP Servers

**Server Information:**
- What MCP servers do you need to register? (GitHub URLs or local paths)
- What type of MCP servers are these? (filesystem, database, API, tool, other)
- What programming languages are they written in? (Python, TypeScript, Go, etc.)
- Are these Docker-based or native implementations?

**Metadata and Documentation:**
- Do your servers have `mcp-server.json` metadata files?
- Is there comprehensive README documentation?
- What are the primary capabilities and use cases?
- Are there specific tags or keywords for discoverability?

**Container and Deployment:**
- Are Docker images already published? (Docker Hub, GHCR, etc.)
- What are the entry commands and configuration requirements?
- Are there environment variables or volume mounts needed?
- What MCP protocol version do they implement?

**Registry Targets:**
- Which registries should we target?
  - modelcontextprotocol/servers (GitHub)
  - PulseMCP.com
  - MCP Server Finder
  - mcp-get
  - awesome-mcp-servers
  - mcpserver.cloud and mcp.run
  - Cursor.directory
  - AIxploria
- Are there organizational or compliance constraints?

**Maintenance and Versioning:**
- What is the current version of your servers?
- Do you follow semantic versioning?
- Are there release notes or changelogs?
- Who is the maintainer contact?

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Based on your answers, I'll provide:

## 1. Metadata Assessment and Synthesis

Comprehensive metadata analysis:
- Repository structure scanning
- Programming language and runtime detection
- Containerization artifact assessment (Dockerfile, docker-compose.yml)
- Configuration file parsing (pyproject.toml, package.json, etc.)
- License type identification
- README quality evaluation
- Documentation completeness checking

## 2. MCP Metadata Generation

Standards-compliant `mcp-server.json` creation:
- Server name and description
- Version and protocol version
- Maintainer information
- Language and runtime requirements
- MCP type classification
- Relevant tags and keywords
- Docker image references
- Entry command specifications
- Platform-specific configurations

## 3. Field Normalization and Validation

Metadata quality assurance:
- Naming convention enforcement (snake_case fields)
- Semantic versioning validation
- Tag tokenization with industry standards
- Command syntax normalization
- Path escaping and platform compatibility
- Required field completeness checking

## 4. Registry Interface Mapping

Complete registry directory enumeration:
- **GitHub-based registries**: Fork, branch, PR workflow automation
- **Web form registries**: HTTP POST with form field mapping
- **REST API registries**: Authentication, request formatting, submission
- **Manual submission channels**: Email and contact form generation
- Interface modality classification
- Authentication mechanism documentation
- Expected response patterns

## 5. Automated Registration Workflows

Submission automation for each registry type:

**GitHub Registries:**
- Repository forking
- Local cloning to workspace
- Metadata file updates (servers.json, index.yaml)
- Branch creation and commits
- Pull request submission with descriptions
- PR tracking and status monitoring

**Web Form Registries:**
- Form field mapping from JSON metadata
- Automated browser submission or HTTP POST
- Success confirmation capture
- Response archival

**REST API Registries:**
- API authentication (tokens, OAuth, JWT)
- Request body construction
- HTTP submission with proper headers
- Response validation and logging

**Manual Submission:**
- Markdown description generation
- Email template creation
- Contact information compilation

## 6. Submission Validation and Tracking

Quality assurance and audit trails:
- Registry ingestion confirmation
- PR URL and issue tracking
- Submission timestamp logging
- Response code validation
- Error handling and retry logic
- Centralized tracking file maintenance

## 7. Registration Status Management

Metadata augmentation:
- `registered_to` field updates with successful registries
- Version synchronization across registries
- Upgrade detection and notification
- Change log generation per registration
- Status badge creation for READMEs

## 8. Version Drift Detection

Registry synchronization:
- Existing entry comparison
- Outdated metadata identification
- Controlled upgrade via PR or API
- Breaking change documentation
- Migration guide generation

## 9. Compliance and Documentation

Registration governance:
- Schema validation against MCP standards
- License compliance verification
- Security policy documentation
- Vulnerability disclosure procedures
- SPDX and OCI label compliance

## 10. Multi-Server Batch Processing

Efficient bulk registration:
- Parallel processing of multiple servers
- Dependency-aware ordering
- Error isolation and rollback
- Progress reporting and logging
- Batch completion summary

## 11. Workspace Organization

Structured working directories:
- Registry-specific sandboxes
- Isolated fork repositories
- PR metadata storage
- Transformation logs
- Audit trail preservation

## 12. Success Verification

Comprehensive validation:
- Registration completion across all targets
- Metadata accuracy verification
- Link validation (Docker images, repositories)
- Discoverability testing
- Community visibility confirmation

## 13. Enhanced Features

Advanced capabilities:
- Visual status badges for documentation
- README injection of registry links
- Automated changelog updates
- Release note generation
- Community notification templates

## 14. Chain of Custody

Complete audit documentation:
- Registration event logging
- Update history tracking
- Compliance activity records
- Verification checksums
- Maintainer attribution

Tell me about your MCP servers and I'll automate their registration across all major directories with complete metadata validation and compliance!