productivity

Pokepaste

jpbullalayao

by jpbullalayao

Create and share teams easily with this Pokémon team builder and squad builder. Perfect for competitive players using Po

Converts Pokemon team compositions into shareable Pokepaste URLs by accepting detailed Pokemon configurations including stats, moves, abilities, items, and competitive metadata, then automatically uploading the formatted team data to pokepast.es for easy collaboration among competitive players and team builders.

github stars

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Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.

Direct upload to pokepast.esSupports all competitive metadata

best for

  • / Competitive Pokemon players sharing team builds
  • / Pokemon team theorycrafting and collaboration
  • / Tournament preparation and team analysis

capabilities

  • / Create shareable Pokepaste URLs from team data
  • / Format Pokemon with stats, moves, abilities, and items
  • / Upload team compositions to pokepast.es
  • / Add titles, author names, and notes to pastes

what it does

Converts Pokemon team data into shareable Pokepaste URLs by uploading formatted team compositions to pokepast.es. Takes detailed Pokemon stats, moves, and abilities and creates links for easy sharing.

about

Pokepaste is a community-built MCP server published by jpbullalayao that provides AI assistants with tools and capabilities via the Model Context Protocol. Create and share teams easily with this Pokémon team builder and squad builder. Perfect for competitive players using Po It is categorized under productivity. This server exposes 1 tool that AI clients can invoke during conversations and coding sessions.

how to install

You can install Pokepaste in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.

license

MIT

Pokepaste is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.

readme

Pokemon Paste MCP Server

MCP server for creating Pokémon pastes (pokepastes)

<a href="https://glama.ai/mcp/servers/@jpbullalayao/pokemon-paste-mcp"> <img width="380" height="200" src="https://glama.ai/mcp/servers/@jpbullalayao/pokemon-paste-mcp/badge" alt="Pokemon Paste Server MCP server" /> </a>

Installation

From npm (Recommended)

npm install -g pokemon-paste-mcp

From source

npm install
npm run build

Usage

The server provides a create_pokepaste tool that accepts Pokemon set data and creates a Pokepaste URL.

Tool: create_pokepaste

Creates a Pokepaste from an array of Pokemon set objects.

Parameters:

  • pokemon (array, required): Array of Pokemon set objects
  • title (string, optional): Title for the paste
  • author (string, optional): Author name
  • notes (string, optional): Additional notes

Pokemon Set Object Structure:

{
  "name": "string",
  "species": "string", 
  "item": "string",
  "ability": "string",
  "moves": ["string", "string", "string", "string"],
  "nature": "string",
  "gender": "string",
  "evs": {
    "hp": 0,
    "atk": 252,
    "def": 0,
    "spa": 4,
    "spd": 0,
    "spe": 252
  },
  "ivs": {
    "hp": 31,
    "atk": 31,
    "def": 31,
    "spa": 31,
    "spd": 31,
    "spe": 31
  },
  "level": 50,
  "shiny": false,
  "happiness": 255,
  "pokeball": "Poke Ball",
  "hpType": "Electric",
  "dynamaxLevel": 10,
  "gigantamax": false,
  "teraType": "Electric"
}

Example Usage:

{
  "pokemon": [
    {
      "name": "Pikachu",
      "species": "Pikachu",
      "item": "Light Ball",
      "ability": "Static",
      "moves": ["Thunderbolt", "Quick Attack", "Iron Tail", "Agility"],
      "nature": "Jolly",
      "gender": "M",
      "evs": { "hp": 0, "atk": 252, "def": 0, "spa": 4, "spd": 0, "spe": 252 },
      "ivs": { "hp": 31, "atk": 31, "def": 31, "spa": 31, "spd": 31, "spe": 31 },
      "level": 50
    }
  ],
  "title": "My Team",
  "author": "Trainer"
}

MCP Client Configuration

Configure your MCP client (Claude Desktop, Cursor, etc.):

Using remote npm package:

{
  "mcpServers": {
    "pokemon-paste": {
      "command": "npx",
      "args": ["pokemon-paste-mcp"],
      "env": {}
    }
  }
}

Local development:

{
  "mcpServers": {
    "pokemon-paste": {
      "command": "node",
      "args": ["/path/to/pokemon-paste-mcp/dist/index.js"],
      "env": {}
    }
  }
}

Testing

Local MCP Tool Testing

You can test the local MCP server using the MCP Inspector:

npm run build
npx @modelcontextprotocol/inspector node path/to/pokemon-paste-mcp/dist/index.js

If you want to test the MCP server directly with your MCP client, use this complete test input:

{
  "pokemon": [
    {
      "name": "Pikachu",
      "species": "Pikachu",
      "item": "Light Ball",
      "ability": "Static",
      "moves": ["Thunderbolt", "Quick Attack", "Iron Tail", "Agility"],
      "nature": "Jolly",
      "gender": "M",
      "evs": { "hp": 0, "atk": 252, "def": 0, "spa": 4, "spd": 0, "spe": 252 },
      "ivs": { "hp": 31, "atk": 31, "def": 31, "spa": 31, "spd": 31, "spe": 31 },
      "level": 50,
      "shiny": false
    },
    {
      "name": "Charizard",
      "species": "Charizard",
      "item": "Charcoal",
      "ability": "Blaze",
      "moves": ["Flamethrower", "Air Slash", "Solar Beam", "Roost"],
      "nature": "Modest",
      "gender": "M",
      "evs": { "hp": 4, "atk": 0, "def": 0, "spa": 252, "spd": 0, "spe": 252 },
      "ivs": { "hp": 31, "atk": 0, "def": 31, "spa": 31, "spd": 31, "spe": 31 },
      "level": 50,
      "teraType": "Fire"
    },
    {
      "name": "Alakazam",
      "species": "Alakazam",
      "item": "Life Orb",
      "ability": "Magic Guard",
      "moves": ["Psychic", "Focus Blast", "Shadow Ball", "Recover"],
      "nature": "Timid",
      "gender": "M",
      "evs": { "hp": 4, "atk": 0, "def": 0, "spa": 252, "spd": 0, "spe": 252 },
      "ivs": { "hp": 31, "atk": 0, "def": 31, "spa": 31, "spd": 31, "spe": 31 },
      "level": 50,
      "shiny": true,
      "pokeball": "Ultra Ball"
    }
  ],
  "title": "Sample Competitive Team",
  "author": "Pokemon Trainer",
  "notes": "A balanced team with Pikachu as the main attacker, Charizard for coverage, and Alakazam for special sweeping."
}

This test input includes:

  • Three diverse Pokemon with different roles
  • Various optional fields (shiny, teraType, pokeball)
  • Sample EV/IV spreads for competitive play
  • Team metadata (title, author, notes)

The expected output should be a Pokepaste URL that you can visit to see the formatted team.

Author's Note

Interested in the progress of this project? Feel free to follow the repo for live updates!

If you need to get a hold of me regarding this project, feel free to either:

If you're interested in helping to fund this project, you can support me here. Any and all support is greatly appreciated!

License

MIT

FAQ

What is the Pokepaste MCP server?
Pokepaste is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
How do MCP servers relate to agent skills?
Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
How are reviews shown for Pokepaste?
This profile displays 51 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.6 out of 5—verify behavior in your own environment before production use.

Use Cases

Extended AI Capabilities

Add new capabilities to Claude beyond text generation

Example

Access external data sources, execute code, interact with tools and services

Transform Claude from chatbot to action-taking agent

Context Enhancement

Provide Claude with access to relevant context and data

Example

Load project documentation, access knowledge bases, query databases

Get more accurate, context-aware responses

Workflow Automation

Automate multi-step workflows combining AI and external tools

Example

Research → Summarize → Create document → Send notification

Complete complex tasks end-to-end without manual steps

Implementation Guide

Prerequisites

  • Claude Desktop 0.7.0+ or Cursor IDE with MCP support
  • Basic understanding of MCP architecture and capabilities
  • Access credentials for integrated services (if required)
  • Willingness to experiment and iterate on configuration

Time Estimate

15-60 minutes depending on server complexity

Installation Steps

  1. 1.Install MCP server: npm install -g [package-name] or via GitHub
  2. 2.Add server configuration to ~/.claude/mcp.json
  3. 3.Provide required credentials and configuration
  4. 4.Restart Claude Desktop to load new server
  5. 5.Test basic functionality with simple prompts
  6. 6.Explore capabilities and experiment with use cases
  7. 7.Document successful patterns for reuse

Troubleshooting

  • MCP server not loading: Check config syntax, verify installation
  • Connection errors: Check network, firewall, credentials
  • Feature not working: Read server docs, check required parameters
  • Performance issues: Monitor resource usage, check for network latency
  • Conflicts with other servers: Check port assignments, namespace collisions

Best Practices

✓ Do

  • +Read server documentation thoroughly before setup
  • +Start with simple use cases to validate functionality
  • +Test in non-production environment first
  • +Monitor resource usage and performance
  • +Keep servers updated for bug fixes and new features
  • +Document configuration for team members
  • +Use environment variables for sensitive configuration

✗ Don't

  • Don't grant overly permissive access to MCP servers
  • Don't skip reading security considerations in docs
  • Don't expose sensitive data without proper controls
  • Don't run untrusted MCP servers without code review
  • Don't ignore error messages—investigate root cause

💡 Pro Tips

  • Combine multiple MCP servers for powerful workflows
  • Create custom MCP servers for your specific needs
  • Share successful configurations with team
  • Use MCP inspector for debugging
  • Join MCP community for tips and troubleshooting

Technical Details

Architecture

Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.

Protocols

  • Model Context Protocol (MCP)
  • JSON-RPC 2.0
  • stdio or HTTP transport

Compatibility

  • Claude Desktop
  • Cursor IDE
  • Custom MCP clients

When to Use This

✓ Use When

Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.

✗ Avoid When

Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.

Integration

  • Tool composition: Chain multiple MCP tools in workflows
  • Context augmentation: Provide AI with relevant external data
  • Action delegation: Let AI execute tasks on external systems
  • Bidirectional sync: Keep AI context and external systems in sync

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.

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Ratings

4.651 reviews
  • Shikha Mishra· Dec 24, 2024

    We wired Pokepaste into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.

  • Aisha Thomas· Dec 16, 2024

    Pokepaste has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.

  • Aisha Liu· Dec 12, 2024

    Useful MCP listing: Pokepaste is the kind of server we cite when onboarding engineers to host + tool permissions.

  • Harper Bansal· Dec 8, 2024

    Pokepaste is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.

  • Arjun Chen· Dec 8, 2024

    We evaluated Pokepaste against two servers with overlapping tools; this profile had the clearer scope statement.

  • Harper Verma· Dec 4, 2024

    We wired Pokepaste into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.

  • Harper Kapoor· Nov 27, 2024

    We wired Pokepaste into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.

  • Ishan White· Nov 23, 2024

    Pokepaste is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.

  • Yash Thakker· Nov 15, 2024

    Pokepaste is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.

  • Zaid Desai· Nov 7, 2024

    Pokepaste reduced integration guesswork — categories and install configs on the listing matched the upstream repo.

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