"ShareX" matching MCP servers:

Enables Claude to recall context from a merged knowledge graph of your Obsidian vault and code projects, providing tools to search, find neighbors, and discover paths before editing files. Works offline by reading a local brain.json.

Enables multiple AI clients to share and revise project knowledge with conflict-safe concurrent writes, immutable revision history, and hybrid search that excludes superseded or deleted memories.

Enables multiple MCP-compatible AI clients to share persistent, versioned project knowledge across sessions with conflict-safe updates, provenance, hybrid retrieval, stale-memory handling, and context-budgeted recall.

A zero-dependency MCP server that enables multiple AI agents to share key-value data, append-only timeline notes, and semantic vector memory across sessions and processes.

MCP server for a shared Postgres-backed knowledge base with hybrid retrieval and agentic RAG, enabling coding agents to upload, search, and ask questions over documents with cited answers.

Provides a shared long-term memory across multiple AI clients, enabling persistent storage and retrieval of facts, preferences, decisions, and snippets with semantic search.

Modular monolithic FastAPI shared AI service platform providing config center, prompt registry, LLM gateway, RAG service, secret manager, tool registry, and MCP server wrapper.

This server enables AI assistants (CLINE, Cursor, Windsurf, Claude Desktop) to share a common knowledge base through Retrieval Augmented Generation (RAG), providing consistent information access across multiple tools.

把五个搜索源熔进一个 MCP —— 一次调用，多源取证 · 交叉验证 · AI 汇总