Thesaurus By Api Ninjas
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., "@Thesaurus By Api Ninjasfind synonyms for 'happy'"
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.
Thesaurus By Api Ninjas MCP Server
用于访问 Thesaurus By Api Ninjas 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-thesaurus_by_api_ninjas)🎉 点击 "安装 MCP" 按钮
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Related MCP server: Dictionary By Api Ninjas
简介
这是一个 MCP 服务器,用于访问 Thesaurus By Api Ninjas API。
PyPI 包名:
bach-thesaurus_by_api_ninjas版本: 1.0.0
传输协议: stdio
安装
从 PyPI 安装:
pip install bach-thesaurus_by_api_ninjas从源码安装:
pip install -e .运行
方式 1: 使用 uvx(推荐,无需安装)
# 运行(uvx 会自动安装并运行)
uvx --from bach-thesaurus_by_api_ninjas bach_thesaurus_by_api_ninjas
# 或指定版本
uvx --from bach-thesaurus_by_api_ninjas@latest bach_thesaurus_by_api_ninjas方式 2: 直接运行(开发模式)
python server.py方式 3: 安装后作为命令运行
# 安装
pip install bach-thesaurus_by_api_ninjas
# 运行(命令名使用下划线)
bach_thesaurus_by_api_ninjas配置
API 认证
此 API 需要认证。请设置环境变量:
export API_KEY="your_api_key_here"环境变量
变量名 | 说明 | 必需 |
| API 密钥 | 是 |
| 不适用 | 否 |
| 不适用 | 否 |
在 Cursor 中使用
编辑 Cursor MCP 配置文件 ~/.cursor/mcp.json:
{
"mcpServers": {
"bach-thesaurus_by_api_ninjas": {
"command": "uvx",
"args": ["--from", "bach-thesaurus_by_api_ninjas", "bach_thesaurus_by_api_ninjas"],
"env": {
"API_KEY": "your_api_key_here"
}
}
}
}在 Claude Desktop 中使用
编辑 Claude Desktop 配置文件 claude_desktop_config.json:
{
"mcpServers": {
"bach-thesaurus_by_api_ninjas": {
"command": "uvx",
"args": ["--from", "bach-thesaurus_by_api_ninjas", "bach_thesaurus_by_api_ninjas"],
"env": {
"API_KEY": "your_api_key_here"
}
}
}
}可用工具
此服务器提供以下工具:
v1thesaurus
API Ninjas Thesaurus API endpoint. Returns a list of synonyms and a list of antonyms for a given word.
端点: GET /v1/thesaurus
参数:
word(string) 必需: word to look up.
技术栈
传输协议: stdio
HTTP 客户端: httpx
许可证
MIT License - 详见 LICENSE 文件。
开发
此服务器由 API-to-MCP 工具生成。
版本: 1.0.0
Available Tools
1 toolv1thesaurusB
API Ninjas Thesaurus API endpoint. Returns a list of synonyms and a list of antonyms for a given word.
| Name | Required | Description | Default |
|---|---|---|---|
| word | Yes | word to look up. |
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 of behavioral disclosure. It describes the return value (lists of synonyms and antonyms) but doesn't mention any behavioral traits such as rate limits, authentication requirements, error handling, or whether it's a read-only operation. The description is functional but lacks important operational context.
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 extremely concise and front-loaded, consisting of a single sentence that directly states the tool's function. There is no wasted language, and it efficiently communicates the core purpose without unnecessary details.
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 low complexity (single parameter, no annotations, no output schema), the description is minimally adequate. It explains what the tool returns but doesn't cover behavioral aspects like error cases or performance. Without an output schema, it could benefit from more detail on return format, but it meets basic requirements for a simple lookup tool.
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?
The input schema has 100% description coverage, with the single parameter 'word' documented as 'word to look up.' The description adds no additional meaning beyond this, as it only reiterates that it takes 'a given word.' Since the schema does the heavy lifting, the baseline score of 3 is appropriate.
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 tool's purpose: 'Returns a list of synonyms and a list of antonyms for a given word.' It specifies the verb ('Returns'), resource ('list of synonyms and antonyms'), and target ('given word'). However, since there are no sibling tools, it doesn't need to differentiate from alternatives, so it doesn't reach the highest score.
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 provides no guidance on when to use this tool versus alternatives. It states what the tool does but offers no context about when it's appropriate, what prerequisites might be needed, or any limitations. Without sibling tools, explicit alternatives aren't required, but general usage context is missing.
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. Dates show when Glama detected each change.
1 tool update
- First observed
v1thesaurus
TDQS
With only one tool, there is no possibility of confusion or overlap between tools. The tool's purpose is clearly defined as returning synonyms and antonyms for a given word, making it distinct by default.
Since there is only one tool, naming consistency is inherently perfect. The tool name 'v1thesaurus' follows a single pattern without any deviations or mixing of conventions.
A single tool is generally too few for most server purposes, as it limits functionality and scope. While it might suffice for a simple thesaurus lookup, it feels thin and lacks depth for broader language processing tasks.
The tool covers the basic lookup of synonyms and antonyms, which is the core function of a thesaurus. However, there are notable gaps such as no support for related words, word definitions, examples, or advanced language features, making the surface incomplete for comprehensive language analysis.
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