bilibili-huasheng-video
v0.5.0
MCP ServerMCP Registry
io.github.superlcr/bilibili-huasheng-video
Script to finished Bilibili video with Huasheng: storyboard, narration, footage, export, publish.
stdionpmregistry 收录
io.github.DanceNitra/mnemo · v1.24.2
Self-correcting agent memory + MCP server: recall, supersede/revert/review corrections, erasure.
mnemo 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": {
"mnemo": {
"command": "uvx",
"args": [
"agora-mnemo"
]
}
}
}MNEMO_PATH可选Path to the JSON memory file the server persists to (defaults to ./mnemo_memory.json).
MNEMO_ECHO_GUARD可选1 (default) blocks a restated retired value from resurrecting a corrected fact; 0 = legacy keyed supersession.
MNEMO_EMBED_URL可选Optional OpenAI-compatible /embeddings endpoint for SEMANTIC recall (e.g. http://localhost:11434/v1/embeddings for local Ollama). Unset = deterministic lexical recall.
MNEMO_EMBED_MODEL可选Embedding model id used with MNEMO_EMBED_URL (default: text-embedding-3-small; for Ollama use e.g. nomic-embed-text).
v0.5.0
io.github.superlcr/bilibili-huasheng-video
Script to finished Bilibili video with Huasheng: storyboard, narration, footage, export, publish.
v0.7.0
com.cromanion/cromanion
Raise conversion on a site you manage. No API key, no human to wake — you prove the domain.
v0.1.2
io.github.agentwares/agentguard
MCP policy proxy: spend caps, approvals for destructive tools, kill switch, dry-run, audit log.
v0.1.0
io.github.pipeworx-io/china-air-quality
China Air Quality MCP — nationwide hourly AQI from CNEMC (中国环境监测总站).
v0.7.0
io.github.conorbronsdon/substack-mcp
Substack drafts, Notes, analytics and consented subscribers. Long-form posts stay draft-only.
v0.4.2
io.github.lvlrSajjad/simframe
Always-warm iOS Simulator frames: agents read the screen in ~20ms instead of screenshotting
{
"id": "io.github.DanceNitra/mnemo",
"type": "mcp-server",
"version": "1.24.2",
"displayName": "mnemo",
"description": "Self-correcting agent memory + MCP server: recall, supersede/revert/review corrections, erasure.",
"repository": {
"url": "https://github.com/DanceNitra/mnemo",
"source": "github"
},
"homepage": "https://pypi.org/project/agora-mnemo/",
"distribution": {
"packages": [
{
"registryType": "pypi",
"identifier": "agora-mnemo",
"version": "1.24.2",
"transport": "stdio",
"environmentVariables": [
{
"name": "MNEMO_PATH",
"description": "Path to the JSON memory file the server persists to (defaults to ./mnemo_memory.json)."
},
{
"name": "MNEMO_ECHO_GUARD",
"description": "1 (default) blocks a restated retired value from resurrecting a corrected fact; 0 = legacy keyed supersession."
},
{
"name": "MNEMO_EMBED_URL",
"description": "Optional OpenAI-compatible /embeddings endpoint for SEMANTIC recall (e.g. http://localhost:11434/v1/embeddings for local Ollama). Unset = deterministic lexical recall."
},
{
"name": "MNEMO_EMBED_MODEL",
"description": "Embedding model id used with MNEMO_EMBED_URL (default: text-embedding-3-small; for Ollama use e.g. nomic-embed-text)."
}
]
}
],
"remotes": []
},
"dependencies": [],
"installTargets": [
"claude-code",
"claude-desktop",
"cursor",
"vscode",
"trae",
"cherry-studio",
"lingma",
"windsurf",
"cline",
"workbuddy"
],
"keywords": [],
"provenance": {
"origin": "official-mcp-registry",
"originalId": "io.github.DanceNitra/mnemo",
"originalUrl": "https://registry.modelcontextprotocol.io/v0.1/servers/io.github.DanceNitra%2Fmnemo/versions/latest",
"isOfficial": true,
"status": "active"
}
}