SageMath MCP Server
Exposes the full SageMath computer algebra system to LLM clients through MCP tools for symbolic mathematics, solving, calculus, plotting, and number theory.
README
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
| Tool | Description |
|---|---|
sage_evaluate |
Run an arbitrary SageMath expression. |
sage_solve_equation |
Solve algebraic / transcendental equations symbolically. |
sage_differentiate |
Compute derivatives (any order, any variable). |
sage_integrate |
Indefinite and definite integrals. |
sage_simplify |
Simplify expressions (default, full, trig, rational). |
sage_factor |
Factor polynomials or integers. |
sage_matrix_ops |
Determinant, inverse, eigenvalues, rank, RREF, transpose over QQ / RR / ZZ / CC. |
sage_plot |
Plot an expression and return a base64 PNG. |
sage_latex_convert |
Convert a SageMath expression to LaTeX. |
sage_number_theory |
is_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_KEYenv var). - i18n — English, Spanish, French via
src/i18n.tsandlocales/. - Multi-format build —
build.tsemits Claude plugin, OpenAI function-calling, n8n node, MCP server descriptor, CLI tool, and YAML prompt-library outputs from the same source manifest.
Configuration
| Env var | Default | Purpose |
|---|---|---|
TRANSPORT |
stdio |
stdio or http. |
PORT |
3000 |
HTTP port when TRANSPORT=http. |
API_KEY |
(none) | If set, HTTP requests must include matching API_KEY header. |
SAGE_TIMEOUT |
30000 |
Per-call SageMath timeout in milliseconds. |
SAGE_DOCKER_IMAGE |
sagemath/sagemath:latest |
Image 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_KEYif set — there is no default credential. - See
SECURITY.mdandTHREAT_MODEL.mdfor 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.
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
Neon Database
MCP server for interacting with Neon Management API and databases
E2B
Using MCP to run code via e2b.
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.