minimcp-servers 0.2.1

MCP servers built with MiniMCP to expose Python’s standard library modules.

✨ MiniMCP Servers

A collection of MCP servers built with MiniMCP that expose Python's standard library functionality through clean, focused interfaces.

🚀 Installation

pip install minimcp-servers
# or
uvx --from minimcp-servers <server-name>

⚙️ Claude Desktop Configuration

Add any server to your Claude Desktop configuration:

{
    "mcpServers": {
        "math-utils": {
            "command": "uvx",
            "args": ["--from", "minimcp-servers", "math-utils"]
        },
        "text-utils": {
            "command": "uvx",
            "args": ["--from", "minimcp-servers", "text-utils"]
        },
        "datetime-utils": {
            "command": "uvx",
            "args": ["--from", "minimcp-servers", "datetime-utils"]
        }
    }
}

📦 Available Servers

1. math-utils

Comprehensive mathematical toolkit combining all tools from arithmetic, continuous, discrete and statistics math servers.

Perfect for scientific computing, engineering calculations, data analysis, financial modeling, and educational applications requiring diverse mathematical operations.

2. arithmetic-math-utils

Fundamental mathematical operations for basic calculations and numerical processing.

Ideal for applications requiring core arithmetic operations, rounding, array operations, and floating-point manipulations.

Category	Tool Name
Basic Operations	add, subtract, multiply, divide, modulo, floor_divide, pow
Array Operations	minimum, maximum
Rounding	round_to, ceil, floor, trunc
Utility Functions	absolute, sqrt, sign, clamp
Float Operations	copysign, frexp, ldexp, modf

3. continuous-math-utils

Advanced continuous mathematics for scientific computing and engineering applications.

Essential for physics simulations, signal processing, calculus operations, and applications requiring trigonometric and logarithmic functions.

Category	Tool Name
Trigonometric	sin, cos, tan, asin, acos, atan, atan2
Hyperbolic	sinh, cosh, tanh, asinh, acosh, atanh
Exponential	exp, expm1
Logarithmic	log, log10, log2, log1p
Angle Conversion	degrees, radians
Distance & Geometry	hypot, multidimensional_hypot, dist
Special Functions	gamma, lgamma, erf, erfc

4. discrete-math-utils

Integer mathematics and combinatorics for exact discrete computations.

Perfect for combinatorial analysis, number theory, cryptographic applications, and algorithm design requiring precise integer operations.

Category	Tool Name
Integer Operations	isqrt, factorial
Number Theory	gcd, lcm
Combinatorics	combination, permutation

5. statistics-math-utils

Comprehensive statistical analysis tools for data science and research applications.

Essential for exploratory data analysis, quality control, research, business analytics, and machine learning preprocessing.

Category	Tool Name
Central Tendency	mean, geometric_mean, harmonic_mean, median, median_low, median_high, median_grouped, mode, multimode
Dispersion	variance, pvariance, stdev, pstdev
Distribution	quantiles
Bivariate Analysis	covariance, correlation, linear_regression

6. text-utils

Comprehensive text processing toolkit for analysis, manipulation, and secure encoding.

Perfect for document analysis, content management, data validation, security applications, and text mining operations.

Category	Tool Name
Analysis	length, count_substr, most_common_words, first_index_of_substr, last_index_of_substr
Manipulation	normalize_text, slice_text, replace_substr
Hashing	md5, sha1, sha256, sha512
Encoding	base64_encode, base64_decode, base64_urlsafe_encode, base64_urlsafe_decode, hex_encode, hex_decode

7. datetime-utils

Date, time, and duration utilities for temporal data processing.

Essential for timestamp generation, time format conversions, scheduling systems, and applications requiring precise time calculations.

Category	Tool Name
Current Time	epoch_seconds_now, iso_utc_now
Format Conversion	epoch_to_iso_utc, iso_utc_to_epoch, is_valid_iso_format
Duration	duration_seconds, format_duration
Calendar	isleap, days_in_month

8. random-generator

Cryptographically secure random data generation for security applications.

Perfect for authentication tokens, session IDs, password generation, unique identifiers, and any application requiring secure randomness.

Category	Tool Name
Secure Generation	generate_uuid, generate_random_number, generate_random_text

Environment Variables

The MCP servers support the following environment variables for configuration:

Logging Configuration

Variable	Description	Default	Valid Values
MCP_SERVER_LOG_FILE	Path to log file for persistent logging. If not set, logs only to stderr.	None	Any valid file path
MCP_SERVER_LOG_LEVEL	Logging level to control verbosity	WARNING	DEBUG, INFO, WARNING, ERROR, CRITICAL

Note

Generated using Claude 4 Sonnet!