"Coding in Python and R" matching MCP servers:

A local MCP server that gives AI coding assistants read, write, search, and execute capabilities within a specified project directory. This Windows GUI build simplifies setup by eliminating manual Python, Node.js, or Docker installation.

Provides Copilot Studio with six tools for secure workspace file operations and one-time execution of pre-approved Python jobs in isolated, network-less Docker containers, with strict access controls and audit logging.

MCP server for on-disk patching of binary artifacts with SHA-256 manifest, byte-level patch application, and manifest-driven restore, ensuring auditability and reversibility.

Enables AI coding agents to persist structured long-term memory (gotchas, architecture, API notes) in a .context folder and sync across devices and agents via Git.

Enables document conversion between PDF, DOCX, and Markdown formats to facilitate reading and editing complex files in AI tools like Claude Desktop or Cursor. It utilizes marker-pdf and pandoc to provide structured text versions of documents, helping to manage context and support unsupported file types.

Enables AI agents to deploy applications and manage servers over SSH using natural language commands, with built-in tools for Python bots, Docker Compose, and SSL setup.

Local MCP server that converts PDF, Word, PowerPoint, Excel and more to Markdown on your machine, enabling coding agents like Claude Code and Cursor to read office files in the repo.

MCP server that reduces token consumption in AI coding assistants by up to 90% via structural reads, PreToolUse hooks, and tp-\* subagents.

MCP server that exposes local Python scripts as tools for AI clients (e.g. Claude Desktop), enabling directory tree generation, Excel-to-text conversion, Python code extraction, and text file merging.

Enables AI coding agents to read, write, search, and organize notes in an Obsidian vault directly via the filesystem.

MCP server for writing Markdown report fragments to files with path safety and SHA-256 verification.

A Python MCP server that generates complete Vue 3 CRUD structures with Composition API, including components, services, stores, and routes.

Enables AI agents to save and read persistent, project-local markdown context files in a .opencontext/ directory, so durable project decisions and conventions survive across sessions.

Enables AI assistants to search a catalog of ready-made HarmonyOS ArkUI components and have the server copy tested widget code and imports directly into a project, so the model writes only the page-level calls. It also surfaces the user's own saved widgets and flags any missing $r()/$rawfile() resources.

Provides direct, unsandboxed local machine access via filesystem, Python, Node.js, and shell commands for MCP agents.

locidx

Enables ChatGPT web to interact with local Windows/WSL shell and code workspaces via an MCP server, providing file access, shell execution, and snapshot-based workspace management with per-command authorization.

An MCP server that enables AI coding tools to save, list, and read code snippets as files in the local filesystem.

Token-efficient Python stdio MCP server exposing safe text-file search, reading, and refactoring tools.

A comprehensive tool server for reading, merging, and extracting content from PDF files via local paths or direct URLs. It enables metadata retrieval, regex searching, and page-specific text extraction with built-in caching and workspace-restricted security.