Truecaller Data2 MCP Server
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., "@Truecaller Data2 MCP Serverlook up +1-555-123-4567"
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.
Truecaller Data2 MCP Server
用于访问 Truecaller Data2 API 的 MCP 服务器。
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🔍 搜索或找到本服务器(
bach-truecaller_data2)🎉 点击 "安装 MCP" 按钮
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Related MCP server: LinkedIn Api8 MCP Server
简介
这是一个 MCP 服务器,用于访问 Truecaller Data2 API。
PyPI 包名:
bach-truecaller_data2版本: 1.0.0
传输协议: stdio
安装
从 PyPI 安装:
pip install bach-truecaller_data2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-truecaller_data2 bach_truecaller_data2
# 或指定版本
uvx --from bach-truecaller_data2@latest bach_truecaller_data2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-truecaller_data2
# 运行(命令名使用下划线)
bach_truecaller_data2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-truecaller_data2": {
"command": "uvx",
"args": ["--from", "bach-truecaller_data2", "bach_truecaller_data2"],
"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-truecaller_data2": {
"command": "uvx",
"args": ["--from", "bach-truecaller_data2", "bach_truecaller_data2"],
"env": {
"API_KEY": "your_api_key_here"
}
}
}
}可用工具
此服务器提供以下工具:
search
Truecaller Search
端点: GET /search/{number}
参数:
number(string) 必需: Example value: 919999999999
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 toolsearchC
Truecaller Search
| Name | Required | Description | Default |
|---|---|---|---|
| number | Yes | Example value: 919999999999 |
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. 'Truecaller Search' implies a lookup operation that might involve external services, but it doesn't disclose any behavioral traits like rate limits, authentication requirements, privacy implications, or what happens with invalid inputs. The description is too minimal to provide meaningful transparency beyond the basic action implied by 'Search'.
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 with just two words, 'Truecaller Search'. It's front-loaded and wastes no space, though this conciseness comes at the cost of clarity. Every word earns its place by at least hinting at the tool's domain (Truecaller) and action (Search).
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 has no annotations, no output schema, and a simple input schema with one parameter, the description is incomplete. It doesn't explain what the tool does beyond the vague 'Search', what results to expect, or any behavioral context. For a tool that likely interacts with an external service (Truecaller), more information about its purpose and output would be needed for adequate completeness.
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 the parameter 'number' documented as requiring a string like '919999999999'. The description adds no additional meaning about parameters beyond what the schema provides. According to the rules, with high schema coverage (>80%), the baseline score is 3 when no param info is in the description, which applies here.
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 'Truecaller Search' restates the tool name 'search' with a brand modifier, making it essentially tautological. It doesn't specify what resource is being searched (phone numbers? contacts? databases?) or what action is performed (lookup? verify? identify?). While 'Search' implies a lookup operation, the lack of specificity about what is being searched and what results are returned makes this vague.
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 is provided about when to use this tool. There are no sibling tools mentioned, so no alternative comparisons are needed, but the description doesn't indicate any context, prerequisites, or constraints for usage. The agent must infer usage from the parameter name 'number' alone, which is insufficient guidance.
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
search
TDQS
With only one tool, there is no possibility of ambiguity or overlap between tools. The single tool 'search' has a distinct and clear purpose for searching Truecaller data, so agents cannot misselect between multiple options.
Since there is only one tool, naming consistency is inherently perfect. The tool name 'search' follows a simple verb pattern, and there are no other tools to compare it against for inconsistency.
A single tool is too few for a server named 'Truecaller Data2 MCP Server', which suggests a broader data-related scope. This minimal set limits functionality and likely leaves significant gaps in handling Truecaller data operations, making it inappropriate for comprehensive use.
The tool set is severely incomplete for the implied domain of Truecaller data. With only a search tool, there are obvious gaps such as creating, updating, deleting, or retrieving specific data entries, which are essential for full CRUD/lifecycle coverage in a data server.
Maintenance
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