Chess
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Chessvisualize the FEN rnbqkbnr/pppppppp/8/8/8/8/PPPPPPPP/RNBQKBNR"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
国际象棋FEN验证可视化服务 Chess
一个提供国际象棋FEN(Forsyth-Edwards Notation)符号验证和ASCII棋盘可视化功能的MCP服务器,可轻松集成到MCP兼容的AI助手中。 An MCP server that provides chess FEN (Forsyth Edwards Notation) symbol validation and ASCII board visualization capabilities, which can be easily integrated into MCP compatible AI assistants.## 工具列表 Tool List
本MCP服务封装下列工具,可让模型通过标准化接口调用以下功能。 本MCP服务封装下列工具,可让模型通过标准化接口调用以下功能。
工具 Tool | 描述 Description |
visualize_fen | Convert FEN notation to ASCII chess board visualization |
检查服务 ## Inspector
工具在线测试: https://mcp.xiaobenyang.com/inspector/1777316659713027
Online Tool test https://mcp.xiaobenyang.com/inspector/1777316659713027
Related MCP server: ChessPal Chess Engine
服务配置 MCP Server Config
如何获取 XBY-APIKEY ? How to get XBY-APIKEY ?
访问小笨羊科技网站 https://xiaobenyang.com,注册用户即可获得APIKEY Visit XiaoBenYang website https://xiaobenyang.com, register and get the APIKEY.
SSE
{
"mcpServers": {
"国际象棋FEN验证可视化服务": {
"headers": {
"XBY-APIKEY": "<YOUR_XBY_APIKEY>"
},
"type": "sse",
"url": "https://mcp.xiaobenyang.com/1777316659713027/sse"
}
}
}STREAMABLE HTTP
{
"mcpServers": {
"国际象棋FEN验证可视化服务": {
"headers": {
"XBY-APIKEY": "<YOUR_XBY_APIKEY>"
},
"type": "streamable_http",
"url": "https://mcp.xiaobenyang.com/1777316659713027/mcp"
}
}
}STDIO
{
"mcpServers": {
"国际象棋FEN验证可视化服务": {
"command": "npx",
"args": [
"-y",
"xiaobenyang-mcp"
],
"env": {
"XBY_APIKEY": "<YOUR_XBY_APIKEY>",
"mcpId": "1777316659713027",
},
"transport": "stdio"
}
}
}
Available Tools
1 toolvisualize_fenvisualize_fenB
Convert FEN notation to ASCII chess board visualization
| Name | Required | Description | Default |
|---|---|---|---|
| fen_string | Yes |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden. It states the conversion function but lacks behavioral details such as error handling for invalid FEN, output format specifics (e.g., line breaks, character set), or performance considerations. This leaves gaps in understanding how the tool behaves beyond its basic purpose.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, efficient sentence that front-loads the core functionality without any wasted words. It is appropriately sized for the tool's straightforward purpose.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's complexity (simple conversion), no annotations, no output schema, and low parameter coverage, the description is incomplete. It lacks details on output format, error cases, and parameter semantics, making it insufficient for reliable agent use without additional context.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, and the description does not add meaning beyond the schema. It mentions 'FEN notation' but does not explain what FEN is, valid formats, or examples. With 1 undocumented parameter, the description fails to compensate for the schema's lack of details.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the specific action ('Convert') and target ('FEN notation to ASCII chess board visualization'), providing a precise verb+resource combination. It distinguishes the tool's purpose effectively without relying on sibling tools for context.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies usage when FEN notation needs visualization, but provides no explicit guidance on when to use this tool versus alternatives or any exclusions. With no sibling tools, the context is straightforward but lacks detailed operational boundaries.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
1 tool update
- First observed
visualize_fen
TDQS
Scored across 1 tool
With only one tool, there is no possibility of confusion or overlap between tools, as there are no other tools to compare it to. The tool's purpose is clearly defined and standalone.
Since there is only one tool, naming consistency is inherently perfect with no deviations or mixed conventions to evaluate. The tool name follows a clear verb_noun pattern.
A single tool for a server named 'Chess' is too few for the apparent scope, as chess involves many operations like moves, game states, and analysis. This feels thin and incomplete for the domain.
The tool set is severely incomplete for chess, covering only FEN visualization without any operations for playing, moving pieces, checking game status, or other core chess functionalities. This will cause significant agent failures.
Maintenance
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