io.github.justice8096/sagemath-mcp-server

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MCP server wrapping SageMath's full computer algebra system — 10 symbolic-math tools for LLMs.

Installation

Ajoutez ceci à la configuration MCP de votre client (Claude Desktop : claude_desktop_config.json ; Cursor : .cursor/mcp.json ; VS Code et les autres utilisent la même forme « mcpServers »).

NPM package @justice8096/sagemath-mcp-server
Claude Code
claude mcp add sagemath-mcp-server -e 'SAGE_TIMEOUT=<SAGE_TIMEOUT>' -e 'SAGE_DOCKER_IMAGE=<SAGE_DOCKER_IMAGE>' -e 'TRANSPORT=<TRANSPORT>' -e 'PORT=<PORT>' -e 'API_KEY=<your api_key>' -- npx -y @justice8096/sagemath-mcp-server@1.0.1
Configuration JSON (Claude Desktop, Cursor, VS Code)
{
    "mcpServers": {
        "sagemath-mcp-server": {
            "command": "npx",
            "args": [
                "-y",
                "@justice8096/sagemath-mcp-server@1.0.1"
            ],
            "env": {
                "SAGE_TIMEOUT": "<SAGE_TIMEOUT>",
                "SAGE_DOCKER_IMAGE": "<SAGE_DOCKER_IMAGE>",
                "TRANSPORT": "<TRANSPORT>",
                "PORT": "<PORT>",
                "API_KEY": "<your api_key>"
            }
        }
    }
}

Variables d'environnement

  • SAGE_TIMEOUT Per-call SageMath timeout in milliseconds. Default 30000.
  • SAGE_DOCKER_IMAGE Docker image used when SageMath is not installed locally. Default sagemath/sagemath:latest.
  • TRANSPORT Transport mode: 'stdio' (default) or 'http'.
  • PORT HTTP port when TRANSPORT=http. Default 3000.
  • API_KEY secret If set, HTTP transport requires matching API_KEY header. Ignored for stdio.

Documentation

Tirée du README du projet sur GitHub, actualisée chaque semaine. Les liens ouvrent GitHub.

Sommaire
  1. SageMath MCP Server
  2. Why
  3. Tools
  4. Installation
  5. Configuring an MCP client
  6. Architecture
  7. Configuration
  8. Security
  9. License
  10. Status

SageMath MCP Server

A Model Context Protocol server that exposes SageMath — a 100+ package computer algebra system — to LLM clients such as Claude. Where most "math MCPs" wrap a single library (SymPy, mathjs), this one subprocess-wraps the entire SageMath stack so the model has access to genuine symbolic mathematics, not arithmetic.

Why

LLMs are bad at exact arithmetic, brittle with multi-step algebra, and unreliable when symbolic manipulation matters. The right pattern is to keep the conceptual reasoning in the model and delegate mechanical computation to a tool — the same trick a person with dyscalculia uses with a calculator. SageMath gives you the broadest tool surface for that delegation: factoring, integration, eigenvalues, number theory, LaTeX rendering, and plotting all behind one interface.

Tools

ToolDescription
sage_evaluateRun an arbitrary SageMath expression.
sage_solve_equationSolve algebraic / transcendental equations symbolically.
sage_differentiateCompute derivatives (any order, any variable).
sage_integrateIndefinite and definite integrals.
sage_simplifySimplify expressions (default, full, trig, rational).
sage_factorFactor polynomials or integers.
sage_matrix_opsDeterminant, inverse, eigenvalues, rank, RREF, transpose over QQ / RR / ZZ / CC.
sage_plotPlot an expression and return a base64 PNG.
sage_latex_convertConvert a SageMath expression to LaTeX.
sage_number_theoryis_prime, next_prime, factor, euler_phi, gcd, lcm, prime_range, sigma, moebius.

All tools follow the same schema pattern (see src/schemas/common.ts).

Installation

The server needs either a local SageMath install or Docker available on the host so it can spawn a SageMath process.

Option 1: npm + local SageMath
npm install -g @justice8096/sagemath-mcp-server
# requires `sage` on PATH — see https://doc.sagemath.org/html/en/installation/
sagemath-mcp
Option 2: Docker (no local SageMath required)
docker compose up
# uses the official sagemath/sagemath image; the server runs inside the container
Option 3: from source
git clone https://github.com/justice8096/sagemath-mcp-server.git
cd sagemath-mcp-server
npm install
npm run build
npm start

Configuring an MCP client

Claude Desktop / Claude Code (stdio transport)

Add to ~/.claude.json (or the equivalent Claude Desktop config):

{
  "mcpServers": {
    "sagemath": {
      "command": "sagemath-mcp"
    }
  }
}
Remote / HTTP transport
TRANSPORT=http API_KEY=your-secret-key npm start

Then point an MCP HTTP client at http://<host>:3000/mcp with the matching API_KEY header.

Architecture

  • TypeScript wrapper, runtime is Node.js ≥ 18.
  • Subprocess wrapping — the wrapper code is CC0; SageMath remains GPL-3.0 and runs as a separate process, which is the canonical safe interaction model per the GNU GPL FAQ on aggregation. Embedding via FFI would propagate copyleft; subprocess execution does not.
  • Dual transport — stdio (Claude Desktop, Claude Code, local MCP clients) and Streamable HTTP (remote deployment, optional API_KEY env var).
  • i18n — English, Spanish, French via src/i18n.ts and locales/.
  • Multi-format build — build.ts emits Claude plugin, OpenAI function-calling, n8n node, MCP server descriptor, CLI tool, and YAML prompt-library outputs from the same source manifest.

Configuration

Env varDefaultPurpose
TRANSPORTstdiostdio or http.
PORT3000HTTP port when TRANSPORT=http.
API_KEY(none)If set, HTTP requests must include matching API_KEY header.
SAGE_TIMEOUT30000Per-call SageMath timeout in milliseconds.
SAGE_DOCKER_IMAGEsagemath/sagemath:latestImage used when SageMath isn't installed locally.

Security

  • All SageMath input is sanitized to strip shell metacharacters before subprocess execution; see src/services/sage-executor.ts.
  • HTTP transport requires API_KEY if set — there is no default credential.
  • See SECURITY.md and THREAT_MODEL.md for the full posture.
  • Pre-commit audit suite under audits/: SAST/DAST scan, supply-chain audit, CWE mapping, LLM-compliance report, contribution analysis.

License

This wrapper is released under CC0-1.0 (public domain). SageMath itself remains GPL-3.0; the subprocess execution model keeps the licenses independent. See SECURITY.md and the project's compliance analysis for the legal reasoning.

Status

v1.0.0 — public release. The wrapper layer is stable; the SageMath surface is feature-rich and stable upstream. File issues at https://github.com/justice8096/sagemath-mcp-server/issues.

Questions fréquentes

Qu'est-ce que io.github.justice8096/sagemath-mcp-server ?

MCP server wrapping SageMath's full computer algebra system — 10 symbolic-math tools for LLMs.

Comment installer io.github.justice8096/sagemath-mcp-server ?

Il s'exécute sur votre machine. Dans Claude Code : claude mcp add sagemath-mcp-server -e 'SAGE_TIMEOUT=<SAGE_TIMEOUT>' -e 'SAGE_DOCKER_IMAGE=<SAGE_DOCKER_IMAGE>' -e 'TRANSPORT=<TRANSPORT>' -e 'PORT=<PORT>' -e 'API_KEY=<your api_key>' -- npx -y @justice8096/sagemath-mcp-server@1.0.1. Pour les autres clients, collez la configuration JSON de cette page dans leurs réglages MCP.

Faut-il une clé API pour io.github.justice8096/sagemath-mcp-server ?

Oui. Il attend API_KEY, à renseigner dans sa configuration.

io.github.justice8096/sagemath-mcp-server est-il open source ?

Oui. Son code est sur GitHub sous licence CC0-1.0.

Qui maintient io.github.justice8096/sagemath-mcp-server ?

Il est publié par justice8096. AI.tn le référence sans le maintenir ni le recommander.

Issu du registre MCP officiel. Être listé n'est pas une recommandation : vérifiez le code et les permissions d'un serveur avant de lui donner accès à vos données.