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Pankhur

Public MCP Server

by Pankhur

Public MCP Server

A Model Context Protocol (MCP) server implementation.

Installation

The easiest way to install and run this MCP server is using uvx:

{
  "public-mcp": {
    "command": "uvx",
    "args": [
      "--from",
      "git+https://github.com/Pankhur/public-mcp.git",
      "mcp-server"
    ]
  }
}

You can add this configuration to your project or Claude Desktop config to use this MCP server.

Manual Installation

  1. Clone the repository

    git clone https://github.com/Pankhur/public-mcp.git
    cd public-mcp
  2. Install dependencies

    pip install -e .

    Alternatively, you can install dependencies using uv:

    pip install uv
    uv pip install -e .

Related MCP server: MCP Example Simple Server

Usage

After installation, you can run the server with:

python -m mcpserver

Development

To contribute to this project:

  1. Fork the repository

  2. Create a feature branch (git checkout -b feature/amazing-feature)

  3. Commit your changes (git commit -m 'Add some amazing feature')

  4. Push to the branch (git push origin feature/amazing-feature)

  5. Open a Pull Request

Available Tools

1 tool
addA

Add two numbers

ParametersJSON Schema
NameRequiredDescriptionDefault
aYes
bYes

Output Schema

ParametersJSON Schema
NameRequiredDescription
resultYes

TDQS

A4.4/5.0
Behavior5/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

The description is a pure function with no side effects, and the sole behavior 'Add two numbers' is fully disclosed. With no annotations to contradict, the description provides complete behavioral transparency for this simple operation.

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

Conciseness5/5

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

The description is a single sentence with no unnecessary words; it is front-loaded and earns its place. It communicates everything needed in the most compact form possible.

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

Completeness5/5

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

Given the tool's simple nature and the presence of an output schema (per context signal), the description sufficiently covers the function. There are no complex behaviors, side effects, or conditional logic to document.

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

Parameters2/5

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

Schema description coverage is 0%, yet the description only generically mentions 'two numbers' without explaining the meaning or constraints of parameters a and b. It does not compensate for the lack of schema descriptions, leaving parameter semantics under-specified.

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

Purpose5/5

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

The description uses the specific verb 'Add' and identifies the resource as 'two numbers', clearly distinguishing it from the sibling arithmetic tools subtract, multiply, and divide. It is unambiguous and precisely states the tool's function.

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

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description is concise but does not explicitly state when to use this tool over alternatives; however, the operation is self-evident for the sibling context. It lacks explicit exclusions or alternative guidance, but the clear context of adding numbers implicitly covers the main use case.

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.

  1. 1 tool update
    • First observedadd

TDQS

B3/5.0

Scored across 1 tool

Disambiguation5/5

With only one tool, there is no possibility of confusion or overlap between tools, as there are no other tools to compare it against. The tool's purpose is singular and clear.

Naming Consistency5/5

Since there is only one tool, naming consistency is inherently perfect; there are no other names to be inconsistent with. The tool name 'add' is simple and follows a verb-only pattern, which is acceptable for a single tool.

Tool Count2/5

A single tool is generally too few for most server purposes, as it limits functionality and suggests an incomplete or trivial scope. For a server named 'Public MCP Server', which implies broader utility, one tool is insufficient and mismatched.

Completeness1/5

The server's domain is unclear from the name and single tool, but a tool that only adds two numbers is severely incomplete for any plausible public utility purpose. There are obvious gaps, such as missing other arithmetic operations or broader functionalities.

Maintenance

ActivityInactive
ResponsivenessNo issues

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