"Coding in Python and R" matching MCP servers:

Enables sandbox-less frontends such as mobile apps to reach the WeRead official gateway over Streamable HTTP by supplying only a URL and an access token, with no local process required. Exposes 14 read-only tools covering search, shelf, notebooks, reading progress and statistics, highlights, public reviews, and recommendations, plus a token-protected dashboard for shelf, notes, and shared-reading annotations.

Enables AI agents to create and interact with ASCII-based Zen gardens through tools for raking sand, placing stones, and practicing digital meditation. It provides resources for random Zen koans and generates meditation guides based on the current garden state.

Enables coding agents to persist notes, decisions, requirements, and learnings per project in SQLite and retrieve them across sessions via search and status tools.

Enables an AI assistant to read and collaboratively edit Rustpad pads via the Model Context Protocol, using operational transformation for clean concurrent edits with human collaborators.

Enables coding agents to connect to a user's DevVault, allowing them to search, retrieve, save, and append research/context containers directly from the agent.

Enables running Python and commands inside isolated, persistent Wasmer sandboxes on the host, while also exposing an Edge-deployed Postgres-backed service for storing notes and collecting feedback.

Enables AI coding agents to store and retrieve durable project decisions, conventions, environment notes, and bug fixes in Notion, with optional Obsidian Vault dual-write.

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

Enables AI assistants to read, search, and traverse your reMarkable tablet library, including handwritten notes via OCR, turning it into a second brain.

Enables AI agents like Claude Code and Codex to read handwriting and sketches drawn on a tablet in real time via MCP, with local recognition to text/LaTeX, session recording, and export to Markdown/Excalidraw.

Give your AI persistent, structured memory and let humans see it too. It stores project knowledge as Markdown files in a hierarchical tree, accessible via MCP tools and a built-in Web UI.

An MCP server that lets AI coding agents save immutable, versioned Markdown reports into md-log, a human-in-the-loop review and archive layer for vibe coding.

Turns AI coding conversations into structured Markdown notes in an Obsidian vault, and retrieves that knowledge in later sessions so assistants can reuse prior conclusions.

Enables personal knowledge management through Claude Desktop, allowing users to capture thoughts, connect ideas, and reflect on thinking changes via natural conversation.

Provides AI coding assistants persistent engineering memory stored as Markdown files in an Obsidian vault, enabling project context retrieval, session capture, decision recording, and memory search without requiring Obsidian to be running.

Enables MCP clients to interact with CalDAV calendars, letting users view schedules, find free time, create and update events, manage tasks and dated notes, and respond to invitations on their own server.

Enables AI agents to store and retrieve project context, bugs, decisions, and session logs by reading and appending markdown files in a local Obsidian vault, without requiring any cloud services.

MCP server for Apple Notes enabling read, search, write, and sync of notes with high fidelity, including styles, attachments, and bidirectional Markdown sync.

Provides cross-session persistent memory for coding agents via MCP tools to store, retrieve, and manage notes with hybrid keyword/semantic search and automatic deduplication.

Enables MCP clients to search a Zotero library, read items, take notes, organize collections, and perform semantic search over PDFs.