Convert MCP servers into Claude Skills, reducing context usage by 90%. Ideal for operations teams managing multiple tools. Integrates with existing MCP infrastructure, improving efficiency and reducing token consumption.
git clone https://github.com/GBSOSS/-mcp-to-skill-converter.gitConvert MCP servers into Claude Skills, reducing context usage by 90%. Ideal for operations teams managing multiple tools. Integrates with existing MCP infrastructure, improving efficiency and reducing token consumption.
[{"step":"Prepare your MCP server configuration","action":"Export your MCP server's configuration file (usually JSON/YAML) and identify the core endpoints you need to expose as a Claude Skill.","tip":"Focus on the most frequently used endpoints first to maximize efficiency gains."},{"step":"Run the conversion tool","action":"Use the command `mcp-to-skill-converter --config [PATH_TO_CONFIG] --output [SKILL_NAME]` to generate the skill files.","tip":"Add `--minify` flag to automatically optimize the output for minimum context usage."},{"step":"Review and customize the generated skill","action":"Edit the output files to add custom documentation, error handling, or integration-specific logic as needed.","tip":"Pay special attention to the caching strategy and field validation sections for maximum efficiency."},{"step":"Deploy the skill","action":"Place the generated files in your Claude Skills directory and restart your AI assistant to load the new skill.","tip":"Test with a single endpoint first before deploying all converted functionality."},{"step":"Monitor performance","action":"Track token consumption and response times to verify the 90%+ reduction in context usage.","tip":"Use the built-in logging to identify any endpoints that aren't optimizing as expected."}]
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/GBSOSS/-mcp-to-skill-converterCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
Convert the following MCP server configuration into a Claude Skill. Focus on minimizing context usage by 90% while preserving functionality. [MCP_SERVER_CONFIGURATION]. Output the skill in the standard format with clear documentation for deployment.
### Converted MCP Server to Claude Skill: **Jira Ticket Processor** **Skill Name:** `jira-ticket-processor` **Version:** 1.0.0 **Description:** Automates Jira ticket creation and updates with minimal context overhead. Reduces token usage by 92% compared to raw MCP calls. **Key Features:** - Processes ticket creation requests with a single `create_ticket` command - Supports bulk updates via `update_tickets` with prioritized fields - Includes error handling for invalid Jira fields - Logs all operations to a local file for audit trails **Example Usage:** ``` User: "Create a high-priority bug ticket for the login API failure in project WEB-123" AI: Processing... (Context used: 120 tokens) AI: Ticket created successfully! Key: BUG-456 ``` **Implementation Notes:** - Pre-validates all Jira field values against project schema - Uses cached project metadata to avoid repeated API calls - Implements delta updates to minimize payload size - Includes 50+ predefined ticket templates for common scenarios **Deployment Requirements:** - Jira API token with write permissions - Project key mapping configuration file - Local cache directory for temporary files **Token Savings Breakdown:** Original MCP calls: ~1,500 tokens per operation Optimized Skill: ~120 tokens per operation (92% reduction) ```
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