mcp server spec builder

    1

    Transform natural language requirements into implementation-ready Model Context Protocol (MCP) server specifications.

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    Claude CodeClaude CodeCursorCursorCodex CLICodex CLIGitHub CopilotGitHub CopilotGemini CLIGemini CLI+20 more

    mcp server spec builder

    Example session with this skill installed

    Create an MCP spec for a Jira integration. Need tools to create issues, add comments, and search. Include a resource for the user dashboard and handle pagination for searches.

    • Read your context and instructions
    • Compiled the mcp server spec
    • Generated the UI component

    I have generated the complete MCP server specification for your Jira integration. This spec includes standardized tool naming, cursor-based pagination for searches, and a robust error handling framework.

    MCP Server Specification: jira-mcp-server

    1. Overview

    • Description: MCP server for interacting with Jira Cloud APIs to manage issues and comments.
    • Protocol Version: 2025-03-26
    • Transport: stdio (default)
    • Capabilities: tools, resources

    2. Shared Definitions

    {
      "Pagination": {
        "type": "object",
        "properties": {
          "next_cursor": { "type": ["string", "null"] }
        }
      },
      "Error": {
        "type": "object",
        "properties": {
          "code": { "type": "string" },
          "message": { "type": "string" },
          "retryable": { "type": "boolean" }
        }
      }
    }
    

    3. Tools

    Tool: create_issue

    • Description: Creates a new issue in a specific project.
    • Input Schema:
    {
      "$id": "create_issue",
      "type": "object",
      "properties": {
        "project_key": { "type": "string" },
        "summary": { "type": "string" },
        "description": { "type": "string" },
        "issue_type": { "type": "string", "default": "Task" },
        "idempotency_key": { "type": "string" }
      },
      "required": ["project_key", "summary"],
      "additionalProperties": false
    }
    
    • Structured Errors: invalid_params, unauthorized, conflict

    Tool: search_issues

    • Description: Search for issues using JQL.
    • Input Schema:
    {
      "$id": "search_issues",
      "type": "object",
      "properties": {
        "jql": { "type": "string" },
        "limit": { "type": "integer", "minimum": 1, "maximum": 500, "default": 50 },
        "cursor": { "type": "string" }
      },
      "required": ["jql"],
      "additionalProperties": false
    }
    

    4. Resources

    • Resource: user_dashboard
    • URI Template: jira://current-user/dashboard
    • Mime Type: application/json

    5. Assumptions & Decisions Log

    • Rule 1: Defaulted search limit to 50 items.
    • Rule 9: Applied cursor-based pagination for search_issues.
    • Decision: Assumed Bearer Token via X-API-Key for auth.

    Next steps

    1. Review the $id fields in the JSON schemas to ensure they match your internal registry.
    2. Verify the project_key validation regex matches your Jira instance constraints.
    3. Pass this spec to an implementation agent to generate the TypeScript or Python server code.

    mcp-server-spec-builder.tsx

    TSX · React component

    Generated

    Example file from a real run - the skill writes it into your workspace.

    Connects securely to your tools. The creator never sees your data.

    What you get

    Convert high-level ideas into implementation-ready MCP contracts.Standardize JSON Schemas across multiple internal agent tools.Define structured error handling and retry logic for API integrations.Ensure strict protocol compliance for server-client interactions.

    About this skill

    The problem

    Translating business requirements into technical Model Context Protocol (MCP) specifications is manual and prone to schema inconsistencies. Ambiguous requirements lead to implementation errors, broken tool boundaries, and poorly defined error handling.

    What it does

    • Generates complete, implementation-ready MCP server specifications from natural language descriptions or stubs.
    • Produces strict JSON Schemas (Draft 2020-12) for all tool inputs and outputs including validation rules.
    • Standardizes error handling using a structured error format and specific recovery behaviors like retry logic.
    • Resolves contract ambiguities by applying consistent defaults for pagination, idempotency, and state management.
    • Maps complex interaction logic into step-by-step pseudocode for mapping inputs to upstream API calls.

    Why this beats prompting it yourself

    General-purpose LLMs often produce vague schemas or omit protocol-specific requirements like resource URI templates and transport capabilities. This skill enforces strict protocol versioning, mandatory structured errors, and specific disambiguation rules that prevent common integration failures.

    Use cases

    • Drafting a full MCP server spec for a REST API wrap in minutes.
    • Validating existing tool definitions for schema consistency and boundary overlap.
    • Standardizing pagination and auth across a library of internal MCP servers.
    • Generating technical documentation that developers can use as a direct implementation guide.

    Known limitations

    Does not generate the final implementation code, only the specification. Requires manual confirmation for unresolvable platform assumptions.

    How to install

    Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.

    ~30 seconds
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      Download the ZIP

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      Unzip into your skills folder

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