1. Conduid
  2. Developer Tools
  3. App
MCP server · Developer Tools

App

MCP Server Application with RAG

Unclaimed devtools
42Fair

Scored 6 days ago · breakdown

About App

App is an MCP server in the Developer Tools category: mCP Server Application with RAG.

The repository has 22 stars and 0 forks.

Install

Claude Code
claude mcp add app -- npx -y @renderify/mcp-app
npx
npx -y @renderify/mcp-app

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

Ask AI

✦

Ask AI about App

Powered by Claude · Grounded in docs

I know everything about App. Ask me about installation, configuration, usage, or troubleshooting.

Security checks

  • ✓README presentThe repository ships documentation.

5 checks have not been run yet.

README

xmcp Application

This project was created with create-xmcp-app.

Getting Started

First, run the development server:

npm run dev
# or
yarn dev
# or
pnpm dev

This will start the MCP server with the selected transport method.

Project Structure

This project uses the structured approach where tools, prompts, and resources are automatically discovered from their respective directories:

  • src/tools - Tool definitions
  • src/prompts - Prompt templates
  • src/resources - Resource handlers

Tools

Each tool is defined in its own file with the following structure:

import { z } from "zod";
import { type InferSchema, type ToolMetadata } from "xmcp";

export const schema = {
  name: z.string().describe("The name of the user to greet"),
};

export const metadata: ToolMetadata = {
  name: "greet",
  description: "Greet the user",
  annotations: {
    title: "Greet the user",
    readOnlyHint: true,
    destructiveHint: false,
    idempotentHint: true,
  },
};

export default function greet({ name }: InferSchema<typeof schema>) {
  return `Hello, ${name}!`;
}

Prompts

Prompts are template definitions for AI interactions:

import { z } from "zod";
import { type InferSchema, type PromptMetadata } from "xmcp";

export const schema = {
  code: z.string().describe("The code to review"),
};

export const metadata: PromptMetadata = {
  name: "review-code",
  title: "Review Code",
  description: "Review code for best practices and potential issues",
  role: "user",
};

export default function reviewCode({ code }: InferSchema<typeof schema>) {
  return `Please review this code: ${code}`;
}

Resources

Resources provide data or content with URI-based access:

import { z } from "zod";
import { type ResourceMetadata, type InferSchema } from "xmcp";

export const schema = {
  userId: z.string().describe("The ID of the user"),
};

export const metadata: ResourceMetadata = {
  name: "user-profile",
  title: "User Profile",
  description: "User profile information",
};

export default function handler({ userId }: InferSchema<typeof schema>) {
  return `Profile data for user ${userId}`;
}

Adding New Components

Adding New Tools

To add a new tool:

  1. Create a new .ts file in the src/tools directory
  2. Export a schema object defining the tool parameters using Zod
  3. Export a metadata object with tool information
  4. Export a default function that implements the tool logic

Adding New Prompts

To add a new prompt:

  1. Create a new .ts file in the src/prompts directory
  2. Export a schema object defining the prompt parameters using Zod
  3. Export a metadata object with prompt information and role
  4. Export a default function that returns the prompt text

Adding New Resources

To add a new resource:

  1. Create a new .ts file in the src/resources directory
  2. Use folder structure to define the URI (e.g., (users)/[userId]/profile.ts → users://{userId}/profile)
  3. Export a schema object for dynamic parameters (optional for static resources)
  4. Export a metadata object with resource information
  5. Export a default function that returns the resource content

Building for Production

To build your project for production:

npm run build
# or
yarn build
# or
pnpm build

This will compile your TypeScript code and output it to the dist directory.

Running the Server

You can run the server for the transport built with:

  • HTTP: node dist/http.js
  • STDIO: node dist/stdio.js

Given the selected transport method, you will have a custom start script added to the package.json file.

For HTTP:

npm run start-http
# or
yarn start-http
# or
pnpm start-http

For STDIO:

npm run start-stdio
# or
yarn start-stdio
# or
pnpm start-stdio

Learn More

README copy captured when this server was indexed; it may lag the repository. The original is authoritative.

Questions

About App

How do I install App?

Run claude mcp add app -- npx -y @renderify/mcp-app, then add the server to your MCP client's configuration.

Is App safe to use with an AI agent?

Its trust score is 42 out of 100 (fair). It passes 1 of the 1 static security checks run so far. It has no ConduID identity yet, so agent calls to it are not receipted.

Is App still maintained?

Conduid hasn't recorded a commit date for this repository yet. Check the repository directly for recent activity.