"Tools for Converting LaTeX Mathematics to Lean Formalizations" matching MCP servers:

An MCP server for ingesting Lean Six Sigma PDFs into a searchable multimodal knowledge base.

A comprehensive MCP server that turns any AI assistant into a powerful mathematical computation engine, providing 52 advanced functions, 158 unit conversions, financial calculations, and secure AST-based evaluation.

Enables verification of Lean 4 mathematical proofs via MCP tools, allowing AI clients to compile and check theorems with Mathlib.

MCP server that converts URLs into token-minimized clean text for LLMs, providing a receipt of token and cost savings.

Embedded, local-first agent memory: facts extracted into a per-namespace SQLite file (vec0 + FTS5) with hybrid retrieval and point-in-time (time-travel) queries. ADD-only history over stdio — no server process, no cloud dependency.

An MCP server for LaTeX that enables AI assistants to check documents for errors, parse compiler logs, and compile LaTeX files, helping them fix documents instead of guessing.

Enables LLM agents to interact with the Lean theorem prover through the Language Server Protocol, providing tools for analyzing Lean projects, accessing diagnostics, goal states, documentation, and searching for theorems using both local and external search services.

Enables compiling Lean 4 proof snippets on the local machine against a Mathlib project and returns structured compiler feedback — status, one-line hints, and the compiler's real error, warning, and information messages — so a model can iterate on proofs instead of guessing. Compilation is serialized, timeouts kill stuck tactics, and rejected code is reported as a normal result rather than a tool failure.

MCP server for agentic interaction with the Lean theorem prover via LSP, providing tools for understanding, analyzing, and interacting with Lean projects.

An MCP server that enables LLMs to compile LaTeX documents and inspect the resulting PDF, supporting an autonomous write-compile-check-revise loop via a self-hosted Overleaf CLSI instance.

A Model Context Protocol (MCP) server that converts LaTeX mathematical expressions to MathML format.

Enables AI coding agents to maintain and search a compact knowledge graph, retrieving ranked entity summaries and opening only the entities needed to keep context usage low. It is a drop-in replacement for the reference MCP memory server with the same file format and tool names.

A lean, agent-first MCP server for JIRA Cloud that exposes 10 intent-shaped tools for searching, creating, updating issues, and more, with human-friendly references and recovery hints.

An MCP server that renders LaTeX math expressions and step-by-step solutions into high-quality PNG images and hosted URLs. It enables AI assistants to provide visual mathematical solutions formatted for messaging platforms like iMessage.

Enables AI agents to perform local video, audio, and file operations inside an isolated workspace, including cutting/concat videos, extracting audio, transcribing, and managing files, with typed responses and background job support.

An MCP server that enables MCP clients to directly access and process arXiv papers by fetching the LaTeX source, improving mathematical content understanding.

A self-hosted MCP server for Linear that reduces response sizes by field-selecting minimal data, saving tokens and costs in LLM agent sessions.

Enables AI assistants to create, edit, and validate LaTeX documents through a standardized protocol with support for multiple document classes and package management. It provides tools for document structure analysis and file organization to streamline the generation of professional academic papers.

A high-performance MCP server that compiles LaTeX into publication-ready PDFs via Tectonic and delivers instant, hosted CDN download links via Cloudflare R2.

Provides restricted MCP tools for scanning, editing, compiling, and verifying LaTeX workspaces, enabling AI assistants to manage local LaTeX projects safely.