PyMCP is a versatile Python-based MCP server that offers several utility functions:
- Greet users: Generates time-stamped greetings, optionally including a provided name
- Generate passwords: Creates secure random passwords (8-64 characters) with customizable length and optional special characters, ensuring complexity requirements
- Calculate permutations: Computes Loading... (ordered permutations) for choosing k items from n items without repetition
- Retrieve logo: Provides the server's Base64 encoded PNG logo with its SHA3-512 hash via
data://logo
- Unicode modulo10: Generates Unicode circled number characters based on modulo 10 operations on integers between 1-1000
Integrates with GitHub for testing and continuous integration through GitHub Actions workflows
Primarily to be used as a template repository for developing MCP servers with FastMCP in Python, PyMCP is somewhat inspired by the official everything MCP server in Typescript.
Components
The following components are available on this MCP server.
Tools
greet
- Greets the caller with a quintessential Hello World message.
- Input(s)
name
:string
(optional): The name to greet. Default value is none.
- Output(s)
TextContent
with a UTC time-stamped greeting.
generate_password
- Generates a random password with specified length, optionally including special characters and conforming to the complexity requirements of at least one lowercase letter, one uppercase letter, and two digits. If special characters are included, it will also contain at least one such character.
- Input(s)
length
:integer
: The length of the generated password. The value must be an integer between 8 and 64, both inclusive.use_special_chars
:boolean
(optional): A flag to indicate whether the password should include special characters. Default value isFalse
.
- Output(s)
TextContent
with the generated password.
permutations
- Calculates the number of ways to choose Loading... items from Loading... items without repetition and with order. If Loading... is not provided, it defaults to Loading....
- Input(s)
n
:integer
: The number of items to choose from. This should be a non-zero, positive integer.k
:integer
(optional): The number of items to choose. Default value is the value ofn
.
- Output(s)
TextContent
with number of ways to choose Loading... items from Loading..., essentially Loading....
Resources
resource_logo
- Retrieves the Base64 encoded PNG logo of PyMCP along with its SHA3-512 hash.
- URL:
data://logo
- Output(s)
TextContent
with aBase64EncodedBinaryDataResponse
Pydantic object with the following fields.data
:string
: The Base64 encoded PNG logo of PyMCP.hash
:string
: The hexadecimal encoded cryptographic hash of the raw binary data, which is represented by its Base64 encoded string equivalent indata
. (The hex encoded hash value is expected to be 6414b58d9e44336c2629846172ec5c4008477a9c94fa572d3419c723a8b30eb4c0e2909b151fa13420aaa6a2596555b29834ac9b2baab38919c87dada7a6ef14.)hash_algorithm
:string
: The cryptographic hash algorithm used, e.g., sha3_512.
resource_logo_svg
- Retrieves the SVG logo of PyMCP.
- URL:
data://logo_svg
- Output(s)
TextContent
with a the SVG data for the PyMCP logo.
resource_unicode_modulo10
- Computes the modulus 10 of a given number and returns a Unicode character representing the result. The character is chosen based on whether the modulus is odd or even. For odd modulus, it uses the Unicode characters ❶ (U+2776), ❸ (U+2778), ❺ (U+277A), ❼ (U+277C), and ❾ (U+277E). For even modulus, it uses the Unicode characters ⓪ (U+24EA), ② (U+2461), ④ (U+2463), ⑥ (U+2465), and ⑧ (U+2467).
- URL:
data://modulo10/{number}
- Input(s)
number
:integer
: A positive integer between 1 and 1000, both inclusive.
- Output(s)
TextContent
with a string representing the correct Unicode character.
Prompts
code_prompt
- Get a prompt to write a code snippet in Python based on the specified task..
- Input(s)
task
:string
: The description of the task for which a code implementation prompt will be generated.
- Output(s)
PromptMessage
with the role of auser
and acontent
as aTextContent
representing the prompt.
Installation
The directory where you clone this repository will be referred to as the working directory or WD hereinafter.
Install uv. To install the project with its minimal dependencies in a virtual environment, run the following in the WD. To install all non-essential dependencies (which are required for developing and testing), replace the --no-dev
with the --all-groups
flag in the following command.
Standalone usage
PyMCP can be started standalone as a MCP server with stdio
transport by running the following. However, you are unlikely to use it this way.
Furthermore, being a template repository, the code deliberately does not implement streamable-http
and sse
transports.
Test with the MCP Inspector
The MCP Inspector is an official Model Context Protocol tool that can be used by developers to test and debug MCP servers. This is the most comprehensive way to explore the MCP server.
To use it, you must have Node.js installed. The best way to install and manage node
as well as packages such as the MCP Inspector is to use the Node Version Manager (or, nvm
). Once you have nvm
installed, you can install and use the latest Long Term Release version of node
by executing the following.
Following that, run the MCP Inspector and PyMCP by executing the following in the WD.
This will create a local URL at port 6274 with an authentication token, which you can copy and browse to on your browser. Once on the MCP Inspector UI, press Connect to connect to the MCP server. Thereafter, you can explore the tools available on the server.
Use it with Claude Desktop, Visual Studio, and so on
The server entry to run with stdio
transport that you can use with systems such as Claude Desktop, Visual Studio Code, and so on is as follows.
Instead of having pymcp
as the last item in the list of args
, you may need to specify the full path to the script, e.g., WD/.venv/bin/pymcp
.
Remotely hosted options
The currently available remotely hosted options are as follows.
- Glama.AI: https://glama.ai/mcp/servers/@anirbanbasu/pymcp
- Smithery.AI: https://smithery.ai/server/@anirbanbasu/pymcp
Testing and coverage
To run the provided set of tests using pytest
, execute the following in WD. Append the flag --capture=tee-sys
to the following command to see the console output during the tests.
To get a report on coverage while invoking the tests, run the following two commands.
This will generate something like the following output.
Contributing
Install pre-commit
for Git by using the --all-groups
flag for uv sync
for the installation of PyMCP.
Then enable pre-commit
by running the following in the WD.
Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.
License
MIT.
Primarily to be used as a template for developing MCP servers with FastMCP in Python, PyMCP is somewhat inspired by the official everything MCP server in Typescript.
- Tools
- Resources
- Prompts
- Installation
- Standalone usage
- Test with the MCP Inspector
- Use it with Claude Desktop, Visual Studio, and so on
- Remotely hosted options
- Testing and coverage
- Contributing
- License
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