AI Prompts for MCP Server Setup

The top AI prompts for MCP Server Setup, free to copy right now. Get results in seconds.

Top tested AI prompts for MCP Server Setup that get you real results, fast.

AI Prompts for MCP Server Setup

The top AI prompts for MCP Server Setup, free to copy right now. Get results in seconds.

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Top copy-paste AI prompts for MCP Server Setup covering design your mcp server, define and implement tools, connect and test your server, and more. Free to use, no account required, and built for professional results at every stage.

Stage 1

Design Your MCP Server

The best MCP server is the smallest one that gives your agent the access it actually needs. These prompts help you scope your server, identify the right tools, and plan the implementation before writing a line of code.

Scope an MCP server for your loop

I want to build an MCP server for [YOUR_PROJECT] that gives my Claude Code agent access to [DESCRIBE WHAT YOU WANT THE AGENT TO ACCESS, e.g. GitHub issues, a Postgres database, our Linear board]. For each type of access, tell me: the tool name I should expose, the input parameters it needs, the output format it should return, and whether it needs read-only or read-write access. Then write a one-paragraph MCP server design spec I can use to start implementation.

Design Your MCP Server

Plan a GitHub MCP server

Design an MCP server for [YOUR_PROJECT] that gives the agent read and write access to GitHub. The server should expose these tools: list_open_issues (returns issues with labels and assignees), get_issue (returns full issue content by number), create_pr (opens a PR with title, body, and branch), post_pr_comment (posts a comment on a specific PR), and add_label (adds a label to an issue or PR). For each tool, write the JSON schema for inputs and outputs.

Design Your MCP Server

Plan a database MCP server

Design an MCP server for [YOUR_PROJECT] that gives the agent safe read-only access to the [DATABASE TYPE, e.g. Postgres / Supabase / SQLite] database. The server should: expose a query_table tool that accepts a table name and optional filter, enforce a whitelist of allowed tables the agent may read, never expose credentials in tool responses, and limit result sets to 100 rows by default. Write the server design including the tool schema, the safety constraints, and the connection approach.

Design Your MCP Server

Design a Slack notification MCP tool

Write the design for a single Slack notification tool to add to my MCP server for [YOUR_PROJECT]. The tool should: accept a message string and an optional channel (defaulting to #agent-updates), format the message with a header showing the loop name, current task, and timestamp, and post it to Slack via webhook. Write the tool schema, the webhook request format, and the error handling for failed posts.

Design Your MCP Server

Write an MCP server README

Write a README for the MCP server I am building for [YOUR_PROJECT]. The README should cover: what the server does and why it exists, the list of tools it exposes with one-line descriptions, how to configure it in Claude Code's settings, the environment variables it needs, how to run it locally for testing, and any limitations on what the agent is allowed to do with it. Keep it under 300 words.

Design Your MCP Server

Stage 2

Define and Implement Tools

MCP tools are the atoms of what your agent can do. A well-defined tool is specific, safe, and impossible to misuse. These prompts help you write tool definitions that work reliably in production.

Write a complete MCP tool definition

Write a complete MCP tool definition for [TOOL NAME] that does the following: [DESCRIBE WHAT THE TOOL DOES]. The definition should include: the tool name in snake_case, a one-sentence description the agent will use to decide when to call it, the JSON schema for all input parameters with types and descriptions, the JSON schema for the output, and the error response format. Write this as a TypeScript MCP tool using the @modelcontextprotocol/sdk.

Define and Implement Tools

Implement a read-only database tool

Write the implementation for an MCP tool called get_recent_records for [YOUR_PROJECT] that queries the [TABLE_NAME] table in [DATABASE TYPE]. The tool should: accept a limit parameter (default 10, max 50), a filter parameter (optional key-value pairs), and a sort parameter (field name and direction). Return records as a JSON array. Include: the TypeScript implementation using the MCP SDK, the SQL query construction (with parameterized inputs to prevent injection), and the error handling for connection failures.

Define and Implement Tools

Build a tool that reads GitHub issues

Write the TypeScript implementation for an MCP tool called list_github_issues for [YOUR_PROJECT]. The tool should: accept optional parameters for state (open/closed/all), label filter, and limit (default 20); call the GitHub REST API using the repo token from environment variables; return an array of objects with id, number, title, labels, and created_at; and handle rate limiting by returning a clear error message instead of throwing. Write the full implementation.

Define and Implement Tools

Create a tool with side effects safely

I want to add a create_linear_ticket tool to my MCP server for [YOUR_PROJECT]. Since this tool creates real data, I need it to be safe to call from an agent loop. Write the implementation with these safety features: a dry_run parameter that previews what would be created without posting it, a confirmation field in the output that the agent must explicitly acknowledge before the ticket is created, and a rate limit of 10 tickets per hour. Write the TypeScript implementation.

Define and Implement Tools

Add error handling to MCP tools

I have an existing MCP tool for [YOUR_PROJECT] that sometimes fails silently when the external API is unavailable. Rewrite the tool to handle errors explicitly. The new version should: catch network failures and return a structured error response with code, message, and retryable flag; log failed calls to a local file without blocking the response; and return partial results if only some records could be fetched. Here is the current implementation: [PASTE TOOL CODE].

Define and Implement Tools

Stage 3

Connect and Test Your Server

An MCP server that works locally but fails in production is worse than no server. These prompts help you connect your server to Claude Code and verify it behaves correctly before your loop depends on it.

Configure an MCP server in Claude Code

Write the Claude Code configuration to add my local MCP server for [YOUR_PROJECT]. The server runs on localhost and its entry point is [ENTRY FILE PATH]. Write: the .claude/settings.json entry with the correct mcpServers configuration, the environment variable setup for the server's credentials, the startup command, and the verify-it-is-working test I can run from a Claude Code session to confirm the tools are available.

Connect and Test Your Server

Write an MCP integration test

Write an integration test suite for the MCP server in [YOUR_PROJECT]. The tests should: start the server programmatically, call each tool with valid inputs and assert the response shape, call each tool with invalid inputs and assert the error response, simulate an external API failure and assert the error handling, and clean up any side effects after each test. Write the test file using [TEST FRAMEWORK, e.g. Vitest / Jest].

Connect and Test Your Server

Debug a failing MCP tool call

My MCP tool [TOOL_NAME] is failing when called from my Claude Code agent loop. Here is the error the agent receives: [PASTE ERROR]. Help me debug this. Walk through: what the error message indicates about where the failure occurs, what to check in the server logs, what to verify in the tool input schema, and how to write a minimal reproduction case I can run outside the loop to isolate the issue.

Connect and Test Your Server

Test tool access in a Claude Code session

Write the test prompts I should run in a Claude Code session to verify my MCP server for [YOUR_PROJECT] is working correctly before I use it in a loop. For each tool I have defined, write a one-sentence test prompt that calls the tool with realistic inputs and tells me what a successful response looks like. Also write the prompt I should use if I want Claude Code to list all available MCP tools and show me their schemas.

Connect and Test Your Server

Monitor MCP server health in a loop

I want my Claude Code loop for [YOUR_PROJECT] to check MCP server health before starting each run. Write: the health check prompt the loop should run first, the expected response format, what the loop should do if the health check fails (skip MCP-dependent tasks, alert me, or abort the run), and the log entry format for MCP call success and failure rates over time.

Connect and Test Your Server

Frequently asked questions

What is an MCP server and why do AI agents need one?+

An MCP (Model Context Protocol) server is a small service that exposes tools your agent can call during a loop run. Without one, the agent can only see and edit files. With one, it can read your GitHub issues, query your database, post to Slack, or create Linear tickets. Each tool you expose is a capability the agent can use without you writing custom integration code inside the loop itself.

How do I connect an MCP server to Claude Code?+

Add a mcpServers entry to .claude/settings.json with the server name, the command to start it, and the environment variables it needs. When Claude Code starts a session, it launches the server and makes its tools available to the agent automatically. The Stage 3 prompts in this guide write the exact configuration entry for your setup.

Is it safe to give an agent write access to my database via MCP?+

Only with explicit safety controls. The safest pattern is to start with a read-only connector and add write tools one at a time, each with a dry_run parameter that previews the operation before executing it. Whitelist the tables the agent may access at server startup rather than trusting the agent to scope itself. The Stage 2 prompts in this guide build these controls into every write tool definition.

What is the difference between an MCP tool and an MCP resource?+

A tool is a function the agent calls with parameters to get a result or perform an action: query_table, create_pr, post_message. A resource is a piece of data the agent can read passively, like a project README or a schema file. For loop engineering, tools are almost always what you need: the agent needs to act, not just read. Resources are more useful for giving the agent reference material at session start.

How do I test an MCP server before connecting it to a loop?+

Write an integration test suite that starts the server programmatically, calls each tool with valid and invalid inputs, simulates an external API failure, and asserts the error responses are structured correctly. Run this suite in CI before any deploy. The Stage 3 integration test prompt in this guide generates the full test file for your server.