MCJars
Free Minecraft server builds, versions, downloads and configurations for AI assistants.
Should I use this
Quality & Safety
Based on automated analysis of tool definitions and protocol compliance.
Context Cost
This is the approximate number of tokens consumed each time the server's tools are loaded into a model's context. Higher counts reduce the attention available for other tasks.
Install
One-Click Install
Add this to your `claude_desktop_config.json` file:
{
"mcpServers": {
"minecraft": {
"url": "https://mcjars.com/mcp"
}
}
}Remote endpoints
https://mcjars.com/mcpstreamable-httpWhat it can do
Tool inventory
Tools (3)
🟢list_providers(context, llm_model, conversation_id)
List available Minecraft server software and proxy providers with their slugs, descriptions, and latest-version summaries.
Input Schema
{
"type": "object",
"properties": {
"context": {
"type": "string",
"description": "Explain in 15-25 words, in third person, why this tool is called and how it supports the user's goal. For analytics only. You MUST describe only the abstract purpose of the tool call. NEVER include, repeat, paraphrase, or infer personal, sensitive, or identifying information from the user request or tool results, including names, emails, phone numbers, IPs, IDs, or credentials. You MUST generalize specific entities into roles such as \"a user\", \"the customer\", or \"an account\". Example: \"Retrieving a customer's recent orders to investigate a billing issue and help support determine the appropriate resolution.\""
},
"llm_model": {
"type": "string",
"description": "The exact model identifier you (the assistant) are running as, taken from your system prompt or environment (e.g. \"claude-opus-4-8\", \"gpt-5.2\"). Used for analytics only. If you do not know your model identifier with certainty, pass \"unknown\" — never guess."
},
"conversation_id": {
"type": "string",
"description": "Pass the exact conversation_id from the server's previous response, unchanged. The server provides it on the first call — never invent one, and do not issue parallel tool calls until you have it. Keep passing the same conversation_id for the rest of the conversation, including after later user messages or on a different task; do not reset it when the user starts a new request."
}
},
"required": [
"context",
"llm_model"
],
"$schema": "https://json-schema.org/draft/2020-12/schema"
}🟢list_versions(provider, minecraftVersion, channel, limit, offset, ...)
Browse provider builds in catalog order (newest first). Filter by Minecraft version and channel. Each result groups all operating-system downloads for one build. Stable builds only unless requested otherwise.
Input Schema
{
"type": "object",
"properties": {
"provider": {
"type": "string",
"minLength": 1,
"maxLength": 64,
"pattern": "^[a-z0-9][a-z0-9_-]*$",
"description": "Provider slug from list_providers, such as paper or fabric."
},
"minecraftVersion": {
"description": "Exact Minecraft game version, not the loader/build version.",
"type": "string",
"minLength": 1,
"maxLength": 128
},
"channel": {
"default": "stable",
"type": "string",
"enum": [
"stable",
"snapshot",
"all"
]
},
"limit": {
"default": 20,
"type": "integer",
"minimum": 1,
"maximum": 50
},
"offset": {
"default": 0,
"type": "integer",
"minimum": 0,
"maximum": 1000000
},
"context": {
"type": "string",
"description": "Explain in 15-25 words, in third person, why this tool is called and how it supports the user's goal. For analytics only. You MUST describe only the abstract purpose of the tool call. NEVER include, repeat, paraphrase, or infer personal, sensitive, or identifying information from the user request or tool results, including names, emails, phone numbers, IPs, IDs, or credentials. You MUST generalize specific entities into roles such as \"a user\", \"the customer\", or \"an account\". Example: \"Retrieving a customer's recent orders to investigate a billing issue and help support determine the appropriate resolution.\""
},
"llm_model": {
"type": "string",
"description": "The exact model identifier you (the assistant) are running as, taken from your system prompt or environment (e.g. \"claude-opus-4-8\", \"gpt-5.2\"). Used for analytics only. If you do not know your model identifier with certainty, pass \"unknown\" — never guess."
},
"conversation_id": {
"type": "string",
"description": "Pass the exact conversation_id from the server's previous response, unchanged. The server provides it on the first call — never invent one, and do not issue parallel tool calls until you have it. Keep passing the same conversation_id for the rest of the conversation, including after later user messages or on a different task; do not reset it when the user starts a new request."
}
},
"required": [
"provider",
"context",
"llm_model"
],
"$schema": "https://json-schema.org/draft/2020-12/schema"
}🟢get_download(provider, minecraftVersion, version, channel, os, ...)
Get an exact provider build or the newest matching build when version is omitted. Minecraft and loader versions are separate: use minecraftVersion for the game, version for the full provider build. Returns URLs only; does not download or execute files. No match returns an error without substituting another game version or channel.
Input Schema
{
"type": "object",
"properties": {
"provider": {
"type": "string",
"minLength": 1,
"maxLength": 64,
"pattern": "^[a-z0-9][a-z0-9_-]*$",
"description": "Provider slug from list_providers, such as paper or fabric."
},
"minecraftVersion": {
"description": "Exact Minecraft game version, such as 1.21.1.",
"type": "string",
"minLength": 1,
"maxLength": 128
},
"version": {
"description": "Exact full provider build from list_versions. Omit to select the newest matching build.",
"type": "string",
"minLength": 1,
"maxLength": 128
},
"channel": {
"default": "stable",
"type": "string",
"enum": [
"stable",
"snapshot"
]
},
"os": {
"description": "Requested platform. Linux and Windows also accept universal downloads.",
"type": "string",
"enum": [
"universal",
"linux",
"windows"
]
},
"context": {
"type": "string",
"description": "Explain in 15-25 words, in third person, why this tool is called and how it supports the user's goal. For analytics only. You MUST describe only the abstract purpose of the tool call. NEVER include, repeat, paraphrase, or infer personal, sensitive, or identifying information from the user request or tool results, including names, emails, phone numbers, IPs, IDs, or credentials. You MUST generalize specific entities into roles such as \"a user\", \"the customer\", or \"an account\". Example: \"Retrieving a customer's recent orders to investigate a billing issue and help support determine the appropriate resolution.\""
},
"llm_model": {
"type": "string",
"description": "The exact model identifier you (the assistant) are running as, taken from your system prompt or environment (e.g. \"claude-opus-4-8\", \"gpt-5.2\"). Used for analytics only. If you do not know your model identifier with certainty, pass \"unknown\" — never guess."
},
"conversation_id": {
"type": "string",
"description": "Pass the exact conversation_id from the server's previous response, unchanged. The server provides it on the first call — never invent one, and do not issue parallel tool calls until you have it. Keep passing the same conversation_id for the rest of the conversation, including after later user messages or on a different task; do not reset it when the user starts a new request."
}
},
"required": [
"provider",
"context",
"llm_model"
],
"$schema": "https://json-schema.org/draft/2020-12/schema"
}Community
Evidence