Provides access to the Similar Words API via the RapidAPI platform, enabling tools to find similar words and related linguistic information.
Click on "Install 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., "@Similar Words MCP Server find words similar to 'innovation'"
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.
用于访问 Similar Words API 的 MCP 服务器。
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🎯 进入 MCP 广场，浏览所有可用的 MCP 服务器
🔍 搜索或找到本服务器（bach-similar_words）
🎉 点击 "安装 MCP" 按钮
✅ 完成！即可在您的应用中使用
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Related MCP server: LangSearch MCP Server
这是一个 MCP 服务器，用于访问 Similar Words API。
PyPI 包名: bach-similar_words
版本: 1.0.0
传输协议: stdio
pip install bach-similar_wordspip install -e .# 运行（uvx 会自动安装并运行）
uvx --from bach-similar_words bach_similar_words
# 或指定版本
uvx --from bach-similar_words@latest bach_similar_wordspython server.py# 安装
pip install bach-similar_words
# 运行（命令名使用下划线）
bach_similar_words此 API 需要认证。请设置环境变量:
export API_KEY="your_api_key_here"变量名 | 说明 | 必需 |
| API 密钥 | 是 |
| 不适用 | 否 |
| 不适用 | 否 |
编辑 Cursor MCP 配置文件 ~/.cursor/mcp.json:
{
"mcpServers": {
"bach-similar_words": {
"command": "uvx",
"args": ["--from", "bach-similar_words", "bach_similar_words"],
"env": {
"API_KEY": "your_api_key_here"
}
}
}
}编辑 Claude Desktop 配置文件 claude_desktop_config.json:
{
"mcpServers": {
"bach-similar_words": {
"command": "uvx",
"args": ["--from", "bach-similar_words", "bach_similar_words"],
"env": {
"API_KEY": "your_api_key_here"
}
}
}
}此服务器提供以下工具:
api_endpoint请根据 RapidAPI 页面手动添加端点信息
端点: GET /endpoint
参数:
param (string): 参数
传输协议: stdio
HTTP 客户端: httpx
MIT License - 详见 LICENSE 文件。
此服务器由 API-to-MCP 工具生成。
版本: 1.0.0
请根据 RapidAPI 页面手动添加端点信息
| Name | Required | Description | Default |
|---|---|---|---|
| param | No | 参数 |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries full responsibility for disclosing behavior, yet it reveals nothing about side effects, authentication requirements, rate limits, or what 'adding endpoint information' actually entails. The phrase 'manually add' is particularly confusing for an automated tool.
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?
While the single sentence is brief (11 characters), it suffers from under-specification rather than efficient communication. The content is placeholder text that earns no informational value, making it concisely useless rather than concisely helpful.
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?
For a tool with minimal parameters and no output schema, the description remains completely inadequate. It provides no actionable information about the tool's function, return values, or operational context, functioning as a template stub rather than a complete definition.
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 coverage is reported as 100% (the single 'param' field has a description, albeit tautological: '参数' meaning 'parameter'). Per guidelines, high schema coverage establishes a baseline of 3. The description adds no additional parameter context, but does not subtract from the baseline.
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 states 'Please manually add endpoint information according to the RapidAPI page' (translated from Chinese), which fails to specify what action the tool performs (create, update, call?). It reads as a setup instruction for developers rather than a description of runtime behavior, leaving the actual purpose ambiguous.
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?
No guidance provided on when to use this tool, prerequisites for invocation, or how it relates to RapidAPI. There are no sibling tools, but the description still fails to establish any context for appropriate use.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
With only one tool, there is no possibility of ambiguity or overlap between tools. The tool 'api_endpoint' stands alone with a distinct purpose of adding endpoint information from RapidAPI pages.
Since there is only one tool, naming consistency is inherently perfect. The tool name 'api_endpoint' uses a clear and descriptive snake_case format, which sets a good precedent if more tools were added.
A single tool is too few for most server purposes, as it severely limits functionality and suggests the server is underdeveloped. For a server named 'Similar Words MCP Server', one might expect multiple tools for tasks like finding synonyms, antonyms, or word comparisons, making this count inappropriate.
The tool set is severely incomplete for the inferred domain of word similarity. With only one tool for adding endpoint information, there are no tools for core operations like querying similar words, comparing terms, or managing word lists, leaving significant gaps that will cause agent failures.
Unclaimed servers have limited discoverability.
If you are the server author, to access and configure the admin panel.
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