"Information about Python programming or Python-related topics" matching MCP servers:

A standalone Model Context Protocol server for Microsoft OneNote desktop, connecting via the Windows COM API through a PowerShell bridge to enable page CRUD, search, export, and organization tools without an API key.

A simple note-taking MCP server that allows adding notes and summarizing them via a prompt.

Enables CRUD operations on notes stored in PostgreSQL, with tools to list, create, update, delete notes and tags. The server provides both REST API and MCP endpoints via a single FastAPI process.

Provides MCP tools to upsert and search vector-embedded note chunks, enabling semantic retrieval from a PostgreSQL/pgvector backend.

The server provides tools for web automation using Playwright, allowing navigation, interaction, and JavaScript execution on web pages, and supports note storage with summarization capabilities.

A demo MCP server that enables users to interact with various tools through natural language, including note management, weather queries, calculations, file operations, and shell commands. Uses Ollama for intent detection and structured command parsing from free text input.

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.

A local MCP server that maintains a persona profile (contact library) for AI assistants, allowing them to create, search, retrieve, supplement, and correct information about people mentioned in conversations via tools like search_profiles, get_profile, create_profile, update_profile, add_facts, update_fact, and delete_fact.

Enables AI agents to build and interact with mind maps on mindmap.io. Agents can create, read, update, and delete maps and nodes, run prompts on nodes, and auto-expand topics into follow-up questions.

Enables semantic search over markdown files to find related notes by meaning rather than keywords, and automatically detect duplicate content before creating new notes.

Scans markdown vaults to identify concepts mentioned but not defined, ranks gaps by priority, and generates research questions or random long-tail topics to fill knowledge gaps.

Enables Claude to query user-curated, dated memory entries stored locally, giving users direct control over what the AI remembers about them.

Provides a read-only semantic layer over an Obsidian vault, enabling queries about projects, decisions, tasks, and related notes.

Enables interaction with Notion workspaces through a comprehensive set of tools for managing pages, blocks, databases, users, comments, and search. Provides both a clean Python API and an MCP server for use with Claude Desktop.

A read-only MCP server for accessing Quillink notes, folders, and tags, enabling AI tools like Claude to search, retrieve, and list notes and related metadata. Requires a Pro Quillink plan and supports OAuth or personal access token authentication.

Enables AI-powered journaling in Obsidian with dynamic reflection prompts generated from recent entries and automatic backlinks between related diary entries. Supports adaptive templates that learn from writing patterns and smart content similarity linking.

A Model Context Protocol server that enables AI assistants to search and access information stored in Kibela, supporting note search, retrieval, creation and updating.

Persistent memory server for MCP clients that lets AI assistants remember facts about users across sessions via a single markdown file, with tools to read, save, search, update, delete, and organize memory.

MCP server providing computation, encoding, and note-taking tools for AI-assisted reverse engineering, including Python scripting in a sandboxed Docker container.

A Python-based MCP server that provides read and write access to Bear Notes on macOS using SQLite for data retrieval and x-callback-url for modifications. It enables users to search, create, archive, and manage notes and tags directly through a Model Context Protocol interface.