"SRG SSR" matching MCP servers:

Provides spaced-repetition scheduling with the SM-2 algorithm as MCP tools, enabling agents to manage review items like flashcards or vocab locally. It supports adding, grading, and listing due items, plus optional pro features for export and forecast.

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.

Enables interaction with org-roam knowledge bases, allowing search, retrieval, creation, and linking of notes while respecting org-roam's file structure and conventions.

An MCP server that enables a private mobile-first reading experience in ChatGPT, managing multi-book shelves, reading progress, highlights, thoughts, and bookmarks, with secure cloud storage and AI co-reading of the current page.

Enables full read/write management of SAG knowledge bases, including source and document CRUD, semantic search, knowledge graph queries, and model configuration through 18 MCP tools.

Enables AI tools and agents to share a persistent memory space, so a decision, task, or encrypted secret saved in one client can be searched, recalled, and handed off from another. It also tracks goals day by day, moves unfinished work between sessions, and keeps exports, trash recovery, and per-account isolation under the user's control.

MCP server for maintaining specific Wikidata items (person, company, publications) with read tools and a two-step write workflow that enforces sourced, human-approved batch edits.

Enables MCP-capable agents to search, create, and link notes in an Org-roam knowledge base using a headless Emacs daemon, with graph diagnostics and backlink traversal.

A Python-based MCP server that provides access to local Org mode files, enabling querying and management of org notes, agenda, and TODOs through natural language.

An MCP server for reading, creating, and managing PDF, DOCX, and Excel documents with OCR, styling, categorization, and remote file bridges.

Zero-knowledge document vault backed by Azure Blob Storage with built-in MCP server. Client-side AES-256-GCM encryption, five tools (list, get, search, create, update), and OAuth-gated access for Claude.

Self-learning memory for AI coding agents. Observes tool sequences, user preferences, and recurring fixes — auto-promotes high-confidence patterns into behavioral rules. 22 tools, 2 prompts, SQLite-backed, zero config.

Serves organizational context to MCP-capable AI agents from a local folder or GitHub repository, and lets agents propose changes that require human approval.

Enables local semantic search and management of OKF knowledge bundles via MCP tools, with hybrid BM25 and vector search.

Bridges Hermes Agent to the Hermes Intelligence Platform API, enabling tools to read/write learning loop data (context, feedback, signals, memory, etc.) via stdio.

Knowledge graph for token-efficient code reviews. Builds a structural map of your codebase with Tree-sitter, tracks changes incrementally, and gives AI agents precise context via MCP tools. Features fixed multi-word search, qualified call resolution, dual-mode embedding (ONNX local + LiteLLM cloud), and output pagination.

Enables building and querying vector-based knowledge graphs with node and edge management and semantic search.

Memory bank with Server as SSH support for central knowledge base

AI development assistant with 36 specialized tools for memory management, code analysis, project planning, and problem-solving through natural language interactions in Korean and English.

Persistent memory database for LLM agents with hybrid semantic/keyword search, project scoping, and git commit clustering.