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mcp server spec builder
Transform natural language requirements into implementation-ready Model Context Protocol (MCP) server specifications.
$5
Works with the AI Agents you already use
mcp server spec builder
Example session with this skill installed
Create an MCP spec for a Jira integration. Need tools to create issues, add comments, and search. Include a resource for the user dashboard and handle pagination for searches.
- Read your context and instructions
- Compiled the mcp server spec
I have generated the complete MCP server specification for your Jira integration. This spec includes standardized tool naming, cursor-based pagination for searches, and a robust error handling framework.
MCP Server Specification: jira-mcp-server
1. Overview
- Description: MCP server for interacting with Jira Cloud APIs to manage issues and comments.
- Protocol Version: 2025-03-26
- Transport: stdio (default)
- Capabilities: tools, resources
2. Shared Definitions
{
"Pagination": {
"type": "object",
"properties": {
"next_cursor": { "type": ["string", "null"] }
}
},
"Error": {
"type": "object",
"properties": {
"code": { "type": "string" },
"message": { "type": "string" },
"retryable": { "type": "boolean" }
}
}
}
3. Tools
Tool: create_issue
- Description: Creates a new issue in a specific project.
- Input Schema:
{
"$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-Keyfor auth.
Next steps
- Review the
$idfields in the JSON schemas to ensure they match your internal registry. - Verify the
project_keyvalidation regex matches your Jira instance constraints. - 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
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
Sign in to Agensi
Your agent shows a sign-in link. Sign in and click Allow.
- 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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- Software
- to implement an MCP
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