Math MCP Server

A secure, production-ready MCP (Model Context Protocol) server exposing seven mathematical tools — expression evaluation, symbolic calculus (derivative, simplify), equation solving, matrix algebra, statistics, and unit conversion.

Computation is powered by MathTS (@danielsimonjr/mathts-*), a TypeScript computer-algebra engine with a mathjs-compatible API. The server layers input validation, expression sandboxing, rate limiting, and Prometheus/health observability on top of it.

Engine note (v4): As of v4.0.0 the compute engine is MathTS, not mathjs. The tool I/O contracts are unchanged; only the internals differ. The earlier multi-tier acceleration stack (WASM / WebWorkers / WebGPU) was removed in the v4 cutover — MathTS handles its own internal dispatch, and large-input safety is enforced by size limits rather than a fallback chain. See CHANGELOG.md.

Companion skill

The plugin also ships a math skill (math-mcp:math, /math) — a playbook that steers Claude to offload computation to these tools instead of doing mental math, with composed workflows for solving, calculus, matrices, statistics, and units. See skills/math/SKILL.md.

Related MCP server: SymPy Sandbox MCP

✨ Features

7 mathematical tools

1. evaluate — evaluate expressions, with optional variables (scope)

2. simplify — symbolic simplification of algebraic expressions

3. derivative — symbolic differentiation

4. solve — solve equations for a variable

5. matrix_operations — multiply, inverse, determinant, transpose, eigenvalues, add, subtract

6. statistics — mean, median, mode, std, variance, min, max, sum, product

7. unit_conversion — convert a value between units

Security

• Expression sandboxing: AST validation blocks code injection, dangerous functions, and assignments (src/validation.ts).

• Input & size limits: length, nesting-depth, matrix-dimension, and array-length caps prevent resource exhaustion. Oversized inputs are rejected up front (synchronous JS can't be interrupted, so protection is by size limit, not timeout).

• Rate limiting: token-bucket limiter with configurable per-window, concurrency, and queue limits (src/rate-limiter.ts).

Performance & reliability

• Expression cache: LRU cache for parsed/evaluated expressions (src/expression-cache.ts).

• Observability (optional): set ENABLE_TELEMETRY=true to start an HTTP endpoint (default port 9090, src/telemetry/) exposing Prometheus metrics and Kubernetes-style health probes: GET /metrics, GET /health, GET /health/live, GET /health/ready.

Example usage

// Matrix operations — matrices are JSON strings
matrix_operations("determinant", "[[1,2],[3,4]]")                 // -2
matrix_operations("multiply", "[[1,2],[3,4]]", "[[5,6],[7,8]]")   // [[19,22],[43,50]]

// Statistics — data is a JSON string; mode returns an array
statistics("mean", "[1,2,3,4,5]")   // 3
statistics("mode", "[1,2,2,3,4]")   // [2]

// Symbolic math
derivative("x^2", "x")   // "2 * x"
simplify("2 * x + x")    // "3 * x"

// Unit conversion (use compound forms like mi/h — not mph)
unit_conversion("5 inches", "cm")   // "12.7 cm"

📦 Installation

Requirements

• Node.js ≥ 18.0.0

• npm ≥ 8.0.0

• Platform: Windows, macOS, or Linux

Quick start

git clone https://github.com/danielsimonjr/math-mcp.git
cd math-mcp
npm install
npm run build      # tsc — the only build step
npm test           # integration tests

Verify installation

node --version     # v18.0.0 or higher
npm run type-check # completes without errors
npm test           # integration tests pass

Integration with Claude Desktop

Add to your Claude Desktop config (%APPDATA%\Claude\claude_desktop_config.json on Windows; ~/Library/Application Support/Claude/claude_desktop_config.json on macOS; ~/.config/Claude/claude_desktop_config.json on Linux):

{
  "mcpServers": {
    "math-mcp": {
      "command": "node",
      "args": ["/path/to/math-mcp/dist/index.js"]
    }
  }
}

Integration with Claude CLI

claude mcp add --transport stdio math-mcp node /path/to/math-mcp/dist/index.js

🧮 Tools documentation

1. evaluate

Evaluate a mathematical expression, optionally with variables.

• expression (string) — the expression

• scope (object, optional) — variable values, e.g. {x: 5}

evaluate("2 + 2")                // 4
evaluate("sqrt(16)")             // 4
evaluate("x^2 + 2*x", {x: 5})    // 35
evaluate("derivative(x^2, x)")   // "2 * x"

2. simplify

Simplify an expression.

• expression (string)

simplify("2 * x + x")   // "3 * x"
simplify("(x + 2)^2")   // "x^2 + 4*x + 4"

3. derivative

Differentiate symbolically.

• expression (string), variable (string)

derivative("x^2", "x")     // "2 * x"
derivative("sin(x)", "x")  // "cos(x)"

4. solve

Solve an equation for a variable. Returns exact roots (including complex) for polynomials of degree ≤ 3; for degree ≥ 4 or transcendental equations it falls back to numeric, real roots only.

• equation (string), variable (string)

solve("x^2 - 4 = 0", "x")   // roots of x
solve("2*x + 3 = 7", "x")   // x = 2

5. matrix_operations

Matrix algebra. Matrices are passed as JSON strings.

• operation (string) — multiply, inverse, determinant, transpose, eigenvalues, add, subtract

• matrix_a (string) — e.g. "[[1,2],[3,4]]"

• matrix_b (string, optional) — for binary operations

matrix_operations("determinant", "[[1,2],[3,4]]")                  // -2
matrix_operations("multiply", "[[1,2],[3,4]]", "[[5,6],[7,8]]")    // [[19,22],[43,50]]
matrix_operations("transpose", "[[1,2,3],[4,5,6]]")                // [[1,4],[2,5],[3,6]]

6. statistics

Dataset statistics. Data is passed as a JSON string. Note: mode returns an array (single mode [value], multiple modes [v1, v2]).

• operation (string) — mean, median, mode, std, variance, min, max, sum, product

• data (string) — e.g. "[1,2,3,4,5]"

statistics("mean", "[1,2,3,4,5]")          // 3
statistics("std", "[2,4,4,4,5,5,7,9]")      // 2
statistics("mode", "[1,2,2,3,4,4,4,5]")     // [4]

7. unit_conversion

Convert a value between units.

• value (string) — value with unit, e.g. "5 inches"

• target_unit (string) — e.g. "cm"

Use compound forms for speeds (mi/h, km/h, m/s); the shorthands mph / kph / knot are not recognized units. Some astronomical/nautical units (lightyear, parsec, AU, nauticalMile, …) are not in the unit set.

unit_conversion("5 inches", "cm")             // "12.7 cm"
unit_conversion("100 fahrenheit", "celsius")  // "37.78 celsius"
unit_conversion("50 mi/h", "km/h")            // "80.47 km/h"

🏗️ Architecture

MCP client (stdio)
      ↓
src/index.ts — MCP server + 7 tool definitions  (→ dist/index.js, the bin)
      ↓
src/tool-handlers.ts — validate → compute → format, per tool
      ↓
src/math-engine.ts — MathTS instance (create(all), mathjs-compatible)

• Compute: MathTS (@danielsimonjr/mathts-compat, @danielsimonjr/mathts-matrix). No acceleration router / WASM / worker / GPU tier — those were removed in v4; MathTS does its own internal dispatch.

• Safety: input validation and size limits (src/validation.ts), token-bucket rate limiting (src/rate-limiter.ts), expression cache (src/expression-cache.ts).

• Observability: Prometheus metrics + health probes on port 9090 (src/telemetry/).

Project structure

math-mcp/
├── src/
│   ├── index.ts            # MCP server + 7 tool definitions (→ dist/index.js, bin)
│   ├── math-engine.ts      # Builds the MathTS instance (create(all))
│   ├── tool-handlers.ts    # Business logic for the 7 tools
│   ├── handler-utils.ts    # Shared handler helpers
│   ├── validation.ts       # Input validation, sandboxing, size limits
│   ├── rate-limiter.ts     # Token-bucket rate limiting
│   ├── expression-cache.ts # LRU cache for parsed/evaluated expressions
│   ├── health.ts           # Health-check system
│   ├── errors.ts / types.ts
│   ├── shared/             # constants.ts, logger.ts
│   └── telemetry/          # metrics.ts (Prometheus), server.ts (HTTP :9090)
├── test/
│   ├── integration-test.js # Integration tests
│   ├── correctness-tests.js
│   ├── unit/               # Vitest unit tests
│   └── security/           # Security tests (injection, DoS, fuzzing, bounds)
├── dist/                   # Compiled JavaScript (dist/index.js is the entry)
├── skills/math/            # Companion `math` skill (math-mcp:math, /math)
├── docs/                   # Documentation
├── CHANGELOG.md · CONTRIBUTING.md · SECURITY.md · LICENSE · package.json

🧪 Development

npm run build         # tsc
npm start             # node dist/index.js
npm run dev           # tsc && node dist/index.js

npm test              # integration tests
npm run test:correctness
npm run test:unit     # Vitest
npm run test:security # Vitest security suite
npm run test:coverage

npm run type-check    # tsc --noEmit
npm run lint          # ESLint
npm run lint:fix
npm run format        # Prettier
npm run format:check

🔧 Configuration

Environment variables read by the server:

# Logging
LOG_LEVEL=debug|info|warn|error   # verbosity (default: debug; info when NODE_ENV=production)
ENABLE_PERF_LOGGING=true          # per-call performance logging (default: off)
DISABLE_PERF_TRACKING=true        # disable internal perf tracking (default: tracking on)

# Rate limiting
MAX_REQUESTS_PER_WINDOW=100       # requests per window (default: 100)
RATE_LIMIT_WINDOW_MS=60000        # window length, ms (default: 60000)
MAX_CONCURRENT_REQUESTS=10        # max in-flight operations (default: 10)
MAX_QUEUE_SIZE=50                 # max queued requests (default: 50)
OPERATION_TIMEOUT=30000           # per-operation timeout, ms (default: 30000)

# Cache & telemetry
EXPRESSION_CACHE_SIZE=1000        # LRU expression-cache entries (default: 1000)
ENABLE_TELEMETRY=true             # start the metrics/health HTTP server (default: off)
TELEMETRY_PORT=9090               # metrics/health port (default: 9090)

Input size limits are fixed constants in src/validation.ts (not environment-configurable): max matrix dimension 1000×1000, max array length 100000, max expression length 10000, max nesting depth 50.

🐛 Troubleshooting

• Unit "X" not found. — the unit isn't in MathTS's set. Use compound speed forms (mi/h, not mph); some astronomical/nautical units aren't available.

• Undefined symbol x — an expression left a free variable (e.g. mixing a symbolic term with a numeric one in evaluate). Supply scope, or keep symbolic and numeric parts separate.

• Input rejected as too large — inputs above the size limits (matrix 1000×1000, array 100000, expression 10000 chars, nesting depth 50) are refused by design. These limits are fixed constants in src/validation.ts.

• Build/test issues — ensure Node ≥ 18, then npm install && npm run build && npm test.

📚 Documentation

• CHANGELOG.md — version history

• CONTRIBUTING.md — contribution guidelines

• SECURITY.md — security policy

• skills/math/SKILL.md — the math companion skill playbook

🤝 Contributing

Contributions welcome — see CONTRIBUTING.md. Fork, branch, make changes, npm test, commit with a conventional-commit message, and open a pull request.

📄 License

ISC License — see LICENSE.

🙏 Acknowledgments

• MathTS — the TypeScript compute engine (mathjs-compatible API)

• MCP SDK — Model Context Protocol implementation

Made with ❤️ by the math-mcp contributors