MCP Server Registry

Persistent cross-session memory shared by Codex, Claude Code, ChatGPT, and other AI agents.

MCP server for Memo — exposes your voice transcripts to AI IDEs via secure API token

Zero-knowledge persistent memory layer for AI agents. Encrypted client-side, hosted in France.

MCP server that executes Sharepoint apis

I enhance the existing memory mcp server from the official mcp github, so big thanks and credits for creating this

Open-source cross-agent memory layer for coding agents via MCP. Compatible with Cursor, Claude Code, Codex, Windsurf, Gemini CLI, GitHub Copilot, Kiro, OpenCode, Antigravity, and Trae.

Markdown memory for coding agents that audits itself: drift reports and session digests.

File-first, local-first MCP memory for AI coding assistants: Markdown + YAML, no vector DB.

Local codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

Local-first governed MCP memory backend for coding agents.

Adaptive memory for AI agents — FAISS search, chat extraction, cross-project linking

MCP server for MemoryPlugin API integration

Claude-style memory over a local folder via MCP — per-project spaces plus a shared org layer.

A Model Context Protocol (MCP) server for Memos API with search, create, retrieve, and tag listing capabilities.

Your reviewed knowledge, across AI conversations.

Durable, revision-pinned memory storage and retrieval for AI conversations.

Add persistent memory to AI assistants. Store and recall info across conversations.

mempool.space MCP — Bitcoin block explorer + mempool/fee stats

AI continuity hub for context, checkpoints, rules, profile, and AI Skills across tools and chats.

Shared memory router for AI agents: save/search/recall, session-start injection, review inbox.

Universal persistent memory and knowledge retrieval layer for AI agents and LLMs.

**Memxus** is multi-platform persistent memory for AI assistants. Save project context, preferences, and decisions once — recall them in Claude, ChatGPT, Cursor, and other MCP clients. ## What it does - **Remember** — store facts, preferences, and project context with collections and tags - **Recall** — semantic search across your memories - **Get context** — formatted context blocks for the current topic - **Manage** — list, inspect, update scope, and delete memories ## Connect - **OAuth** (recommended): sign in with Google via your Memxus dashboard - **API key**: create an `aimem_*` key at [dashboard.memxus.com](https://dashboard.memxus.com) **MCP endpoint:** `https://mcp.memxus.com/mcp` **Docs:** [memxus.com/docs/mcp](https://www.memxus.com/docs/mcp) **Install:** [memxus.com/install](https://www.memxus.com/install) **Privacy:** [memxus.com/privacy](https://www.memxus.com/privacy) ## Tools `remember`, `recall`, `get_context`, `list_memories`, `get_memory`, `list_collections`, `forget`, `memory_stats` Built for developers and power users who work across multiple AI tools without repeating the same context every session.

Detect API breaking changes, scan your codebase for impact, and draft the fix. Runs locally.

MCP server for ML drift detection, MLflow registry diffing, and HMAC-gated model rollback