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

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.

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.

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.

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.

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 low-cost agent models to control Windows applications through a compact, state-safe proxy over Open Computer Use, reducing model-visible context by up to 99.8% with support for record/replay and reusable UI component memory.

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.

Enables agents to convert Markdown into WhatsApp-compatible formatting, including styled text, lists, and tables that fit a phone's monospace width.

MCP server for personal knowledge management providing AI-powered tools for semantic search, audio transcription, image generation, and PPT creation.

Provides five safe tools (calc, search, model_drift, compare_runs, grade_answer) for arithmetic, keyword search, model drift monitoring, eval comparison, and answer grading against sources, all implemented directly from the MCP spec with zero dependencies.

An MCP server that provides a persistent sandbox for AI coding agents to explore codebases server-side, returning only compact summaries to reduce context consumption.

Enables extraction of recipes from PDFs or JPG files and conversion into structured HTML, with interactive region selection and OCR via a web GUI.

AI-powered MCP server for file renaming, organization, and PDF splitting using natural language prompts and content analysis.

A FastMCP server providing 22 mathematical operations for AI assistants like Claude, enabling precise arithmetic calculations through a standardized interface.

Enables AI coding agents to perform Lean 4 formal verification, navigate project symbols offline, and inspect C FFI bindings.

Enables AI assistants to search YouTube, fetch transcripts, and get AI summaries of videos without API keys.

Compiles and inspects LaTeX projects using a local TeX Live 2025 installation, exposing tools for environment reporting, file lookup, building, cleaning, and a reusable IEEEtran preamble template.