Mcp Parigp
Expose PARI/GP advanced number theory through cypari2 so agents can run heavyweight integer and algebraic computations during development.
Overview
io.github.daedalus/mcp-parigp is a MCP server for the Build phase that exposes the cypari2 (PARI/GP) number theory library to your agent over stdio.
What is this MCP server?
- MCP wrapper around cypari2 (PARI/GP) for advanced number theory
- stdio MCP transport for local agent workflows
- PyPI package mcp-parigp at version 0.1.0
- Suited to algebraic number theory, elliptic curves, and heavy integer work
- Stacks with mcp-number-theory and mcp-oeis for lookup plus deep computation
- Registry version 0.1.0
- Transport: stdio
- pypi identifier mcp-parigp
Community signal: 1 GitHub stars.
What problem does it solve?
Advanced number-theory work stalls when agents cannot reach PARI/GP and you keep context-switching to a separate CAS session.
Who is it for?
Experienced solo builders doing algebraic number theory, crypto research, or olympiad-style tooling with Python and MCP.
Skip if: Beginners who only need simple arithmetic or a single factorization call—lighter daedalus math MCPs are enough.
What do I get? / Deliverables
After you wire the server, the agent can call PARI/GP-backed tools for heavy integer and algebraic tasks inside your dev loop.
- Agent-accessible PARI/GP number-theory tool surface
- Heavier integer and algebraic computations without leaving the IDE
- Foundation for crypto or math-heavy features validated against CAS results
Recommended MCP Servers
Journey fit
Build is canonical because PARI/GP is invoked while implementing algorithms, tests, and prototypes—not as a marketing or ops concern. Agent-tooling reflects a specialized CAS bridge that extends what the coding agent can execute beyond generic Python stdlib math.
How it compares
PARI/GP-powered MCP integration, not a cloud CAS SaaS or a generic brainstorming skill.
Common Questions / FAQ
Who is mcp-parigp for?
Developers comfortable with Python and PARI/GP who want Claude Code, Cursor, or similar agents to run serious number-theory computations via MCP.
When should I use mcp-parigp?
Use it during Build when problems need PARI/GP primitives—algebraic number fields, advanced factorization, or curve-related math beyond basic wrappers.
How do I add mcp-parigp to my agent?
Install mcp-parigp from PyPI with a working cypari2/PARI/GP stack, register the stdio MCP server in your client, and verify native dependencies in the same environment.