MemoryVault MCP

MemoryVault MCP

A self-hosted, graph-aware memory server for AI assistants that provides persistent memory across sessions with hybrid search and knowledge graph capabilities.

Category
访问服务器

README

MemoryVault MCP

A self-hosted, graph-aware memory server for AI assistants. Built on Cloudflare Workers + D1.

MemoryVault gives AI clients (Claude, ChatGPT, etc.) persistent memory across sessions via the Model Context Protocol (MCP). Store notes, facts, and journal entries. Link related memories into a knowledge graph. Search with hybrid lexical + semantic retrieval.

Features

  • 40+ MCP tools — memory CRUD, graph linking, conflict detection, objectives, snapshots, and more
  • Hybrid search — lexical + semantic (Vectorize + Workers AI embeddings) with RRF fusion
  • Knowledge graph — typed relationships, path finding, neighborhood traversal, inferred links
  • Multi-tenant — user accounts with isolated "brains" and per-brain policies
  • OAuth + PKCE — standards-based auth for MCP clients, plus legacy bearer token fallback
  • Web viewer — browse memories, explore the graph, manage settings at /view
  • 6 themes — cyberpunk, light, midnight, solarized, ember, arctic
  • Zero external dependencies at runtime (just @modelcontextprotocol/sdk and zod)

Quick Start

  1. Clone and install
git clone https://github.com/guirguispierre/memoryvault.git
cd memoryvault
npm install
  1. Configure secrets
cp .dev.vars.example .dev.vars
# Edit .dev.vars with your own secrets
  1. Set up Cloudflare resources
# Create D1 database
npx wrangler d1 create ai-memory

# Update wrangler.toml with your database_id

# Create KV namespace for rate limiting
npx wrangler kv namespace create RATE_LIMIT_KV
# Update wrangler.toml with the KV namespace id

# Create Vectorize indexes (for semantic search)
npx wrangler vectorize create ai-memory-semantic-v1 --dimensions=768 --metric=cosine
  1. Initialize database schema
npx wrangler d1 execute ai-memory --local --file=schema.sql
  1. Run locally
npm run dev

Deploy to Production

# Set secrets
npx wrangler secret put AUTH_SECRET
npx wrangler secret put ADMIN_TOKEN

# Apply schema to remote D1
npx wrangler d1 execute ai-memory --remote --file=schema.sql

# Deploy
npm run deploy

Configuration

Variable Required Description
AUTH_SECRET Yes Signs JWTs and secures legacy bearer auth
ADMIN_TOKEN Yes Required for POST /register (OAuth client registration)
OAUTH_REDIRECT_DOMAIN_ALLOWLIST No Comma-separated hostnames for OAuth redirect URIs. localhost and 127.0.0.1 are always allowed

MCP Integration

Point your MCP client to:

https://<your-worker>.<your-subdomain>.workers.dev/mcp

OAuth mode (recommended): Leave the API key empty. The server responds with OAuth discovery metadata. Your client handles the flow automatically.

Legacy bearer mode: Send Authorization: Bearer <AUTH_SECRET> for simple setups.

Architecture

Module Purpose
src/index.ts Worker entry point and HTTP routing
src/types.ts Shared TypeScript types
src/constants.ts Configuration constants
src/utils.ts Pure utility functions
src/crypto.ts PBKDF2, JWT, HMAC utilities
src/cors.ts CORS and security headers
src/db.ts D1 queries and schema migration
src/auth.ts Session management and auth endpoints
src/oauth.ts OAuth protocol (authorization, token, registration)
src/vectorize.ts Semantic search and Vectorize integration
src/scoring.ts Dynamic confidence/importance scoring
src/tools-schema.ts MCP tool definitions and metadata
src/tools.ts MCP tool handler implementations
src/viewer.ts Web viewer UI (/view)
src/routes.ts API and HTML route handlers

Tech stack: Cloudflare Workers, D1 (SQLite), Vectorize, Workers AI (@cf/baai/bge-base-en-v1.5), MCP SDK

Available MCP Tools

Memory operations: memory_save, memory_get, memory_get_fact, memory_search, memory_list, memory_update, memory_delete, memory_reindex, memory_stats

Graph: memory_link, memory_unlink, memory_links, memory_link_suggest, memory_path_find, memory_subgraph, memory_neighbors, memory_graph_stats, memory_tag_stats

Knowledge management: memory_consolidate, memory_forget, memory_activate, memory_reinforce, memory_decay, memory_conflicts, memory_conflict_resolve, memory_entity_resolve

Trust & policy: memory_source_trust_set, memory_source_trust_get, brain_policy_set, brain_policy_get

Snapshots: brain_snapshot_create, brain_snapshot_list, brain_snapshot_restore

Objectives: objective_set, objective_list, objective_next_actions

Observability: memory_changelog, memory_watch, memory_explain_score, tool_manifest, tool_changelog

Development

npm run dev          # Start local worker
npm run type-check   # TypeScript check
npm run deploy       # Deploy to Cloudflare

Smoke test:

ADMIN_TOKEN=... npm run smoke:oauth-isolation

Notes:

  • Semantic search requires Workers AI/Vectorize bindings — use npx wrangler dev --remote for full functionality
  • Local dev uses --local D1 by default

Contributing

See CONTRIBUTING.md.

License

MIT

推荐服务器

Baidu Map

Baidu Map

百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选