"Buffer.com social media scheduling MCP server" matching MCP servers:

Enables AI clients to read and write to a user-owned markdown bucket via S3-compatible storage, providing a persistent shared context layer across different AI tools.

MemOS (Memory Operating System) is a memory management operating system designed for AI applications. Its goal is: to enable your AI system to have long-term memory like a human, not only remembering what users have said but also actively invoking, updating, and scheduling these memories.

Enables agents to perform spaced-repetition learning with FSRS scheduling, including adding cards, reviewing due cards, and grading recall, using a headless SQLite or Postgres backend.

Local-first error notebook server for MCP agents, enabling problem management with FSRS scheduling, idempotent operations, and printable math PDF generation.

Enables AI agents to semantically search, ask questions about, and analyze videos, with persistent memory and social media import capabilities.

Enables Claude and ChatGPT to share a single study-progress database for interview prep, coursework, and spaced repetition, with per-user data isolation and server-side SM-2 scheduling for due reviews and study plans.

An MCP server for tracking student learning via a knowledge graph, with spaced repetition scheduling and intelligent queries to identify gaps, misconceptions, and optimal next steps.

Enables users to maintain append-only content history with verified publication and social follow-through outcomes, search for overlaps, and run read-only integrity verification of stored snapshots.

Enables AI agents to edit videos locally by inspecting media, applying templates, cutting clips, and delivering finished files, with memory of human preferences.

Enables AI agents to act as a state-driven tutoring engine over MCP, with server-side mastery estimation, prerequisite checks, evidence-based assessment, and FSRS spaced review scheduling.

Enables people and coding agents to share a workspace for tracking project goals, tasks, and outcomes, letting tools save plans, restore task context, and record progress without executing task code or scheduling agents.

Enables Claude Code to run 24/7 through Telegram, handling text, voice, media, group conversations, persistent memory, scheduled messages, calendar access, and live agent/tool progress via a self-healing daemon.

A daily-rhythm support MCP server for ADHD and bipolar disorder, providing 23 tools for mood tracking, social rhythm regularity, early warning detection, task breakdown, and crisis support, all running locally with zero dependencies.

Lets AI assistants act as a personal language teacher by storing a learner's vocabulary, writing stories around those words, judging translations, labeling mistakes by rule, and scheduling spaced-repetition reviews with FSRS. It also serves the agreed tutoring method to any connected assistant so teaching stays consistent across Claude, ChatGPT and Codex.

Exposes a remote Streamable HTTP MCP endpoint that lets an AI client save, search, and retrieve structured memories, archived conversations, social-account notes, and knowledge documents. Access is scoped by per-client API keys with configurable read/write permission levels, collections, and operations.

Enables AI agents to persist and retrieve memories via a personal knowledge graph, with tools for emotional intelligence, CRM, life management, social features, self-training, and autonomous insights.

Serverless document and media processing with AI chat. Upload documents, images, video, and audio — extract text with OCR or transcription — query using Amazon Bedrock.

MCP server providing persistent brain storage for LLM agents, including memory, personality, social intelligence, and context management.

Enables users to create, review, and manage flashcards using the SM-2 spaced repetition algorithm for optimized learning. It supports organizing cards into projects and automatically handles review scheduling based on user performance.

Exposes a private social memory archive to AI assistants via MCP, enabling read-only queries about the user's posts, people, and preferences with tools like search, whoami, and timeline.

Provides AI agents with persistent identity, social organization, and experience-based growth, modeled on human societies, via MCP tools for goal management, learning, and resource sharing.

A shared context and coordination layer for multiple AI agents over MCP, featuring semantic memory, dependency-aware task DAGs, auto-scheduling, role-based access, real-time push, and a live dashboard.

A lightweight MCP server that adds spaced-repetition flashcards (SM-2) to AI assistants, storing data locally in SQLite and enabling card creation, review, and scheduling.

Enables an AI assistant to create, search, and manage locally stored spaced-repetition flashcards, quiz users in chat with front-only prompts, and grade their answers using SM-2 scheduling.

Exposes 59 tools that let MCP-compatible AI agents read and write to a public, typed social knowledge graph — creating and linking posts, leaving threaded comments, reacting, searching, managing sub-communities, and building reputation under an authenticated identity. Reading is free and writes spend the caller's credits, with all untrusted content spotlighted against prompt injection.

Enables LLM agents to manage a local SQLite-backed social CRM through twelve intention-shaped tools: searching and inspecting contacts, merging duplicates, managing identities and relationships, recording events and commitments, and maintaining recurring dates, attributes, and derived graph review views.

Enables clients to search, fetch, and manage entities, relations, notes, sources, pages, media, and status entries in a libSQL-backed personal archive knowledge graph through MCP tools. It also supports a public-only mode that exposes restricted search and fetch access.

Enables AI clients to operate a personal LINE account through MCP, listing friends and groups, retrieving and searching message history, and sending text, mentions, and registered media. Also supports group creation, display-name changes, and reply drafting based on owner-approved conversation history.

Enables organizing personal contacts into concentric social layers, estimating warmth decay via an exponential half-life model, and scheduling mindful reconnection touchpoints within a weekly cognitive bandwidth.

Enables external AI tools to query authorized WeChat messages and available media through read-only or full-permission keys, with restricted conversation scopes.