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

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    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.
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    MIT
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    An MCP server for ingesting Lean Six Sigma PDFs into a searchable multimodal knowledge base.
    MIT
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    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.
    MIT
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    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.
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    MCP server that converts URLs into token-minimized clean text for LLMs, providing a receipt of token and cost savings.
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    MIT
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    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.
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    Apache 2.0
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    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.
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    MIT
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    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.
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    A self-hosted MCP server for Linear that reduces response sizes by field-selecting minimal data, saving tokens and costs in LLM agent sessions.
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    16
    MIT
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    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.
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    MIT
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    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.
    5
    MIT
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    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.
    4
    Apache 2.0