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mingdedi

Internetsearch-mcp-server

by mingdedi

Internetsearch-mcp-server

一个用于联网搜索的MCP服务器 基于博查搜索API的MCP服务器
需要使用博查AI的搜索服务密钥,具体文档请查阅博查开发文档.

如何使用
1、将仓库git clone

git clone https://github.com/mingdedi/Internetsearch-mcp-server.git

2、使用uv重建环境

cd Internetsearch-mcp-server
pip install uv
uv venv
./.venv/Scripts/activate.bat
uv sync

3、在配置文件中添加,类似格式如下

{
  "mcpServers": {
    "Internetsearch-mcp-server": {
      "description": "Internetsearch-mcp-server",
      "command": "uv",
      "args": [
        "--directory",
        "/path/Internetsearch-mcp-server",
        "run",
        "Internet_search.py"
      ],
      "env": {
        "BOCHAAI_API_KEY": "sk-123456789412345678312323456789e"
      }
    }
  }
}

注意
这里的BOCHAAI_API_KEY中的密钥仅仅是一个示例。
如果想要获取一个实际可用的密钥请访问博查AI

Available Tools

1 tool
InternetSearchC

联网搜索对应问题的答案

Args: query: 需要联网搜索的问题

ParametersJSON Schema
NameRequiredDescriptionDefault
queryYes
txt_countNo

TDQS

C2.9/5.0
Behavior2/5

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 mentions the tool performs internet searches but doesn't describe how it works (e.g., search engine used, rate limits, authentication needs, privacy implications, or what happens on failure). For a tool that interacts with external resources, this lack of transparency is a significant gap.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is concise and front-loaded with the main purpose in the first sentence. The Args section is structured but could be more integrated. There's no wasted text, though it could benefit from slightly more detail without losing efficiency.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's complexity (internet search with external interactions), lack of annotations, no output schema, and low parameter coverage, the description is incomplete. It doesn't address behavioral aspects like error handling, result format, or limitations, which are crucial for an AI agent to use it effectively.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The description adds minimal parameter semantics: it explains that 'query' is '需要联网搜索的问题' (the question that needs internet search). With schema description coverage at 0% and 2 parameters (query and txt_count), the description only covers one parameter partially. It doesn't explain txt_count at all, leaving it undocumented. Baseline is 3 due to some value added but incomplete coverage.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's purpose as '联网搜索对应问题的答案' (search the internet for answers to corresponding questions), which is a specific verb+resource combination. It distinguishes itself as an internet search tool, though with no sibling tools mentioned, differentiation isn't applicable. The purpose is unambiguous but could be more precise about what type of answers it provides.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

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, prerequisites, or context for usage. It simply states what the tool does without indicating scenarios where it's appropriate or inappropriate. With no sibling tools, this is less critical, but still a gap in usage context.

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. 1 tool update
    • First observedInternetSearch

TDQS

B3.1/5.0
Disambiguation5/5

With only one tool, there is no possibility of confusion or overlap between tools. The tool has a single, clear purpose: performing internet searches based on a query.

Naming Consistency5/5

Since there is only one tool, naming consistency is inherently perfect. The tool name 'InternetSearch' follows a clear and descriptive pattern, though no comparison to other tools is possible.

Tool Count2/5

A single tool is too few for a server named 'Internetsearch-mcp-server', which suggests a broader scope for internet-related operations. This minimal set limits functionality and may cause agent failures due to lack of complementary tools like filtering, pagination, or advanced search options.

Completeness2/5

The tool surface is severely incomplete for internet search functionality. While it covers basic search, it lacks essential operations such as filtering results, handling pagination, specifying search domains, or retrieving detailed page content, which are common in search APIs.

Maintenance

ActivityInactive
ResponsivenessNo issues

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