Deezer 1 MCP Server
Provides access to the Deezer API through RapidAPI, enabling music-related functionality and data retrieval from the Deezer platform.
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., "@Deezer 1 MCP Serversearch for 'Bohemian Rhapsody' by Queen"
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.
Deezer 1 MCP Server
用于访问 Deezer 1 API 的 MCP 服务器。
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🔍 搜索或找到本服务器(
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Related MCP server: spotify-mcp
简介
这是一个 MCP 服务器,用于访问 Deezer 1 API。
PyPI 包名:
bach-deezer_1版本: 1.0.0
传输协议: stdio
安装
从 PyPI 安装:
pip install bach-deezer_1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-deezer_1 bach_deezer_1
# 或指定版本
uvx --from bach-deezer_1@latest bach_deezer_1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-deezer_1
# 运行(命令名使用下划线)
bach_deezer_1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-deezer_1": {
"command": "uvx",
"args": ["--from", "bach-deezer_1", "bach_deezer_1"],
"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-deezer_1": {
"command": "uvx",
"args": ["--from", "bach-deezer_1", "bach_deezer_1"],
"env": {
"API_KEY": "your_api_key_here"
}
}
}
}可用工具
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
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 toolapi_endpointD
请根据 RapidAPI 页面手动添加端点信息
| Name | Required | Description | Default |
|---|---|---|---|
| param | No | 参数 |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries full burden for behavioral disclosure. The description reveals nothing about what the tool actually does behaviorally - whether it creates, validates, or modifies endpoints; what permissions are needed; whether it's read-only or mutating; what happens on success/failure; or any rate limits. It's essentially a placeholder instruction rather than a tool description.
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 sentence, which is appropriately concise. However, it's not front-loaded with critical information - it reads more like an instruction to a human than a tool description for an AI agent. While brief, it wastes its limited space on vague phrasing rather than clear tool definition.
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 no annotations, no output schema, and a vague purpose, this description is completely inadequate. It doesn't explain what the tool does, what behavior to expect, what the parameter means, or what results are returned. The description fails to provide the minimal context needed for an AI agent to understand and use this tool effectively.
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 100% with one parameter documented as '参数' (parameter). The description adds no parameter-specific information beyond the schema. It doesn't explain what the 'param' parameter represents, what format it expects, or how it relates to 'endpoint information.' With high schema coverage, the baseline is 3, but the description adds zero value regarding parameters.
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 '请根据 RapidAPI 页面手动添加端点信息' translates to 'Please manually add endpoint information based on the RapidAPI page.' This is vague - it doesn't specify what action is being performed (create? update? validate?), what resource is being manipulated, or what 'endpoint information' means. While it mentions RapidAPI context, the purpose remains unclear and lacks a specific verb+resource combination.
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 minimal guidance - it suggests this tool is used when working with RapidAPI endpoints, but gives no indication of when to use it versus alternatives, what triggers its use, or any prerequisites. With no sibling tools, differentiation isn't needed, but the description still lacks basic usage context beyond the RapidAPI reference.
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
v1.0.0- First observed
api_endpoint
TDQS
With only one tool, there is no possibility of ambiguity or overlap between tools. The single tool 'api_endpoint' has a distinct and clear purpose by itself.
Since there is only one tool, naming consistency is inherently perfect. The tool name 'api_endpoint' follows a clear and consistent pattern with no deviations to evaluate.
A single tool is too few for a server named 'Deezer 1 MCP Server', which suggests a music streaming service domain. This minimal set severely limits functionality and likely indicates an incomplete implementation.
The tool set is severely incomplete for a Deezer music API server. With only one generic tool for adding endpoints, there are no specific operations for searching music, managing playlists, or accessing user data, which are core to the domain.
Maintenance
Resources
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