Project TTV MCP
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., "@Project TTV MCPInitialize the UV environment"
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.
Project TTV MCP
This repository contains instructions for setting up and running an MCP service that can be published to PyPI.
Setup Instructions
1. Initialize UV Environment
uv init --build-backend "hatchling"
uv add "mcp[cli]"2. Create Project Structure
touch src/project_ttv_mcp/project_ttv_mcp.pyRelated MCP server: Hello World MCP Server
Package Development
To turn this MCP service into a Python package that can be published to PyPI:
Update
__init__.pyto include amain()function that runs MCPCreate a
__main__.pyscript that calls the main function and serves as an entry point
Running the Service
Local Development
You can run this MCP service as a module using either of these methods:
uv run -m project-ttv-mcpConfiguration Options
Local Configuration
{
"mcpServers": {
"Demo": {
"command": "uv",
"args": [
"--directory",
"/Users/ram/Documents/mcp-stdio",
"run",
"-m",
"project_ttv_mcp"
]
}
}
}GitHub Repository Configuration
Using uvx to install dependencies in a temporary environment:
{
"mcpServers": {
"Demo": {
"command": "uvx",
"args": [
"git+https://github.com/ramsrk7/mcp-stdio"
]
}
}
}Available Tools
1 tooladdA
Function to add two numbers
a: int
b: int
Returns sum
| Name | Required | Description | Default |
|---|---|---|---|
| a | Yes | ||
| b | Yes |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description discloses the function's behavior and its return value ('Returns sum'). For a pure arithmetic operation, this is fully transparent. No additional behavioral traits like side effects or permissions are relevant.
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, using brief statements for the operation, parameters, and return value. Every element serves a purpose with no extraneous text.
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 simplicity, the description is complete. It covers the operation, parameters, and return value, and no output schema is needed to understand the result.
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 description lists 'a: int' and 'b: int', which simply repeats the input schema's type information without adding semantic meaning beyond labeling them as numbers. The schema coverage is 0%, so the description does not compensate for the lack of parameter descriptions.
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 states 'Function to add two numbers' which clearly identifies the verb (add) and resource (two numbers). It is specific and unambiguous, though it doesn't need to differentiate from siblings as none exist.
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 doesn't explicitly state when to use this tool, but the phrase 'Function to add two numbers' implies the use case is whenever addition is needed. There are no alternatives or exclusions mentioned, which is acceptable given the simplicity of the function.
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
v0.1.0- First observed
add
TDQS
With only one tool, there is no possibility of confusion between tools. The purpose of 'add' is clear and distinct from any hypothetical alternatives, so agents can easily select it.
The tool name 'add' is a clear, action-oriented verb that accurately describes its function. Although there is no noun component, the convention is consistent across the single tool, making it predictable.
A single 'add' function is an extreme mismatch for an MCP server, which typically provides a coherent set of tools. The server appears to be a trivial utility with no broader scope.
The server offers only addition, with no support for other arithmetic operations like subtraction, multiplication, or division. This is a severely incomplete surface for any arithmetic or project-related purpose.
Maintenance
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