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

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.

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 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.

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

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.

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.

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

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 server that enables compilation of LaTeX documents to PDF and management of reusable templates and snippets through the Model Context Protocol.

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.

Enables Claude and other MCP clients to access and process arXiv papers by fetching their LaTeX source code, providing accurate interpretation of mathematical equations and notations that PDF processing often struggles with.

Converts any Python Click or Typer CLI into an MCP server automatically — zero-code transformation that introspects CLI commands and exposes them as MCP tools.

A local MCP server that enables AI applications like Claude Desktop to securely access and work with Obsidian vaults, providing capabilities for reading notes, executing templates, and performing semantic searches.

Converts AI Skills (following Claude Skills format) into MCP server resources, enabling LLM applications to discover, access, and utilize self-contained skill directories through the Model Context Protocol. Provides tools to list available skills, retrieve skill details and content, and read supporting files with security protections.

MCP server that exposes tools to route natural language queries to typed IDs, describe catalog entries, and list repository verification commands for the m-dev-tools organization.

Enables converting a public release-note URL into ordered upgrade tasks with source excerpts, anchors, confidence, and uncertainty, without executing release text or project code.

Search and resolve MCP server packages on the mpak registry, enabling agents to discover servers, inspect tools, and check credential requirements before installation.