brilliant-directories-mcp
v6.58.2
io.github.brilliantdirectories/brilliant-directories-mcp
Official MCP server for Brilliant Directories — manage members, posts, leads, reviews, and more.
io.github.DiaaAj/a-mem-mcp · v0.2.1
Self-evolving memory system for AI agents
a-mem-mcp 是一个MCP Server,收录自 官方 MCP Registry。支持 stdio 传输。本页提供 Cursor、Claude Code 等客户端的安装配置片段。
选择你的平台查看安装方式
{
"mcpServers": {
"a-mem-mcp": {
"command": "uvx",
"args": [
"a-mem"
],
"env": {
"OPENAI_API_KEY": "<OPENAI_API_KEY>"
}
}
}
}LLM_BACKEND可选LLM backend to use (openai, ollama, sglang, or openrouter)
LLM_MODEL可选LLM model name (e.g., gpt-4o-mini, llama2, etc.)
OPENAI_API_KEY必填OpenAI API key (required if LLM_BACKEND=openai)
EMBEDDING_MODEL可选Sentence transformer model for embeddings
CHROMA_DB_PATH可选ChromaDB storage directory path
v6.58.2
io.github.brilliantdirectories/brilliant-directories-mcp
Official MCP server for Brilliant Directories — manage members, posts, leads, reviews, and more.
v3.1.0
io.github.pvliesdonk/markdown-vault-mcp
Markdown vault MCP server with FTS5 + semantic search and frontmatter indexing
v0.3.0
io.github.opendata-kr/narajangteo-opening
나라장터 낙찰정보서비스 Open API를 위한 로컬 MCP 서버
v3.10.1
io.github.webdriverio/mcp
MCP server with WebdriverIO for browser and mobile app automation (iOS/Android via Appium)
v0.0.53
io.github.cablate/google-map
18 Google Maps tools for AI agents — geocode, search, directions, weather, and more.
v1.0.0
ai.arpi/arpi-mcp
AI-powered ECG analysis: submit ECG images and receive diagnosis reports from ARPI's ECG AI.
{
"id": "io.github.DiaaAj/a-mem-mcp",
"type": "mcp-server",
"version": "0.2.1",
"displayName": "a-mem-mcp",
"description": "Self-evolving memory system for AI agents",
"repository": {
"url": "https://github.com/DiaaAj/a-mem-mcp",
"source": "github"
},
"distribution": {
"packages": [
{
"registryType": "pypi",
"identifier": "a-mem",
"version": "0.2.1",
"transport": "stdio",
"environmentVariables": [
{
"name": "LLM_BACKEND",
"description": "LLM backend to use (openai, ollama, sglang, or openrouter)"
},
{
"name": "LLM_MODEL",
"description": "LLM model name (e.g., gpt-4o-mini, llama2, etc.)"
},
{
"name": "OPENAI_API_KEY",
"description": "OpenAI API key (required if LLM_BACKEND=openai)",
"isRequired": true,
"isSecret": true
},
{
"name": "EMBEDDING_MODEL",
"description": "Sentence transformer model for embeddings"
},
{
"name": "CHROMA_DB_PATH",
"description": "ChromaDB storage directory path"
}
]
}
],
"remotes": []
},
"dependencies": [],
"installTargets": [
"claude-code",
"claude-desktop",
"cursor",
"vscode"
],
"keywords": [],
"provenance": {
"origin": "official-mcp-registry",
"originalId": "io.github.DiaaAj/a-mem-mcp",
"originalUrl": "https://registry.modelcontextprotocol.io/v0.1/servers/io.github.DiaaAj%2Fa-mem-mcp/versions/latest",
"isOfficial": true,
"status": "active"
}
}