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 CLIMuseMuseDotsDots+21 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

    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.

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

    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.

    Generates specifications only, not executable server code. Unresolvable platform or API version conflicts require manual user intervention.

    How to use

    1. 1

      Connect your agent to the Agensi MCP

      Copy the prompt and paste it into Claude, ChatGPT, Cursor or any agent that supports MCP. It sets up the connection for you. Manual setup

    2. 2

      Sign in to Agensi

      Your agent shows a sign-in link. Sign in and click Allow.

    3. 3

      Ask for what you need

      Your agent loads this skill and uses it on your task. It always asks before any payment.

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    Listed2 months ago

    What's inside

    Frequently Asked Questions

    This skill translates natural language business requirements into technical MCP server specifications, including strict JSON Schemas, standardized error handling, and interaction logic that prevents common integration failures.

    The skill generates implementation-ready specifications in standardized JSON/Markdown formats, featuring Draft 2020-12 JSON Schemas, resource URI templates, and pseudocode for upstream API mapping.

    This skill is compatible with any AI agent or IDE (like Claude Desktop or Cursor) that supports the Model Context Protocol, and it can be used to design servers for any backend language.

    No, this skill focuses on the 'blueprint' phase; it provides the rigorous architectural logic and schemas needed so that a developer or a coding agent can write the final implementation without ambiguity.

    The builder applies standardized rules for pagination, idempotency, and structured error responses, ensuring every tool you design follows the same contract patterns across your entire library.

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