Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
作者提供的说明(英文原文)
Your AI agents' home directory — privacy-first MCP server for portable AI identity.
这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。
我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。
选择你使用的 AI 应用,然后复制设置。
你需要
你用的是哪个应用?
在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。
打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json
{
"mcpServers": {
"tilde": {
"command": "npx",
"args": [
"-y",
"tilde-ai"
]
}
}
}在终端中运行这条命令
claude mcp add tilde -- npx -y tilde-ai粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"tilde": {
"command": "npx",
"args": [
"-y",
"tilde-ai"
]
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"tilde": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"tilde-ai"
]
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。
你的选择通过 Cookie 保存在这台设备上,无需账户。
这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。
它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。
我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月7日
注册名称已通过 GitHub 账户 topskychen 验证,该账户拥有此仓库
我们还没有从 GitHub 读取这个仓库
我们还没有从 GitHub 读取这个仓库
它在你的电脑上运行,没有互联网端点
在你的电脑上运行,改用本地设置
它在你的电脑上运行;我们只能读取互联网端点的工具列表
与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。
它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。
注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。
它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。
GitHub 仓库最后更新于–,最新版本(0.1.1)于10个月前进入注册中心。
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Node.js。
同一分类中有:Spec Driven Development, Remote Desktop Commander, Systemdox
同一分类中其他作者的服务器,按星标数排序。
如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
Your architecture in your agents' context: checks, specs, ADRs and docs over MCP, at write time.
按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。
*Your AI agents' home directory*
tilde is a privacy-first Model Context Protocol (MCP) server that acts as the universal memory and profile layer for AI Agents.
Configure once. Use everywhere. Your data, your control.
Supports profile management, skills, resume import, and team sync.
Every time you switch AI tools, you face the same issues:
tilde acts as a "digital passport" that your AI agents can read:
┌────────────────────────────────────────────────────────────┐
│ Claude Desktop │ Cursor │ Windsurf │ Your Agent │ └────────┬─────────┴─────┬──────┴─────┬──────┴───────┬───────┘ │ │ │ │ └───────────────┴─────┬──────┴──────────────┘ │ ┌──────────▼──────────┐ │ tilde MCP Server │ │ (runs locally) │ └──────────┬──────────┘ │ ┌──────────▼──────────┐ │ ~/.tilde/profile │ │ (your data) │ └─────────────────────┘
# Install from PyPI
pip install tilde-ai
tilde init
Development Installation
# Clone the repository
git clone https://github.com/topskychen/tilde.git cd tilde
uv sync
uv run tilde init
</details>
Add to .cursor/mcp.json in your project (or ~/.cursor/mcp.json for global access):
{
"mcpServers": { "tilde": { "command": "npx", "args": ["-y", "tilde-ai"] } } }
Once configured, you'll see tilde in your MCP servers with all available tools and resources:
Add to .gemini/antigravity/settings.json in your project:
{
"mcpServers": { "tilde": { "command": "npx", "args": ["-y", "tilde-ai"] } } }
Add to ~/Library/Application Support/Claude/claude_desktop_config.json:
{
"mcpServers": { "tilde": { "command": "npx", "args": ["-y", "tilde-ai"] } } }
Once configured, your AI agent can access your profile. Try asking:
"What is my name?"
The agent will use the get_profile tool to fetch your identity and respond with your name and role:
Edit ~/.tilde/profile.yaml:
schema_version: "1.0.0"
user_profile: identity: name: "John Doe" role: "Full Stack Developer" years_experience: 10
timezone: "America/Los_Angeles" pronouns: "they/them"
tech_stack: languages:
knowledge: domains: web_development: "Focus on performance and accessibility" ml_ops: "Experience deploying ML models to production"
sources:
skills:
team_context: organization: "Acme Corp" coding_standards: "ESLint + Prettier, PR reviews required" architecture_patterns: "Monorepo with shared packages" do_not_use:
tilde exposes these resources to agents:
| Resource URI | Description |
|---|---|
tilde://user/profile | Full user profile |
tilde://user/identity | Name, role, experience, custom fields |
tilde://user/tech_stack | Languages, preferences, environment |
tilde://user/knowledge | Knowledge sources, domains, projects |
tilde://user/skills | Skills (filtered by visibility) |
tilde://user/experience | Work history |
tilde://user/education | Education background |
tilde://user/projects | Personal/open-source projects |
tilde://user/publications | Papers and publications |
tilde://team/context | Team coding standards and patterns |
| Tool | Description |
|---|---|
get_profile | Retrieve full or partial profile |
get_team_context | Get team-specific context |
propose_update | Agent proposes a profile update (queued for approval) |
list_pending_updates | List updates awaiting user approval |
tilde init # Create default profile
tilde show # Display current profile tilde show skills # Show skills section only tilde show --full # Show full content without truncation tilde edit # Open profile in $EDITOR tilde config # Show current configuration tilde pending # List pending agent updates tilde approve [id2...] # Approve one or more updates tilde reject [id2...] # Reject one or more updates tilde approve --all # Approve all pending updates tilde reject --all # Reject all pending updates tilde approve --all -e # Approve all except one tilde log # View update history tilde ingest # Extract insights from a document tilde export --format json # Export profile
# Ingest a book and extract insights
tilde ingest "~/Books/DDIA.pdf" --topic data_systems
tilde ingest notes.md --dry-run
tilde ingest paper.pdf --auto-approve 0.8
Bootstrap your profile from an existing resume:
# Import resume (PDF, DOCX, or text)
tilde ingest ~/Documents/resume.pdf --type resume
tilde ingest resume.pdf --type resume --dry-run
tilde ingest resume.pdf --type resume --auto-approve 0.8
The resume importer extracts:
Manage Anthropic-format skills with full bundling support:
# Import skills from Anthropic skills directory
tilde skills import /path/to/skills
tilde skills import /path/to/skills -n mcp-builder -n pdf
tilde skills import ./skills --dry-run
tilde skills import ./skills --visibility private
tilde skills list
tilde skills export ./my-skills
tilde skills export ./output -n mcp-builder
tilde skills delete skill-name tilde skills delete --all --force
The skill importer bundles:
All bundled resources are preserved through import → persist → export.
# Create a team
tilde team create myteam --name "My Startup" --org "ACME Corp"
tilde team activate myteam
tilde team sync https://example.com/team.json --activate tilde team sync git@github.com:myorg/team-config.git --activate
tilde team list tilde team show tilde team edit tilde team deactivate
tilde supports multiple storage backends:
| Backend | Use Case | Command |
|---|---|---|
| YAML (default) | Human-readable, git-friendly | TILDE_STORAGE=yaml |
| SQLite | Queryable, memories, faster at scale | TILDE_STORAGE=sqlite |
| Mem0 | Semantic search via embeddings | TILDE_STORAGE=mem0 |
# Use SQLite backend
export TILDE_STORAGE=sqlite tilde init
uv run python -c " from tilde.storage import get_storage storage = get_storage(backend='sqlite') print(storage.query('%languages%')) "
tilde uses a centralized configuration for LLM and embedding settings. Configuration is stored in ~/.tilde/config.yaml and can be synced across devices.
~/.tilde/config.yaml)| Variable | Description | Default |
|---|---|---|
GOOGLE_API_KEY | Google/Gemini API key (primary) | Required |
OPENAI_API_KEY | OpenAI API key (fallback) | Optional |
TILDE_LLM_MODEL | LLM model for document ingestion | gemini-3-flash-preview |
TILDE_EMBEDDING_MODEL | Embedding model for semantic search | gemini-embedding-001 |
TILDE_STORAGE | Storage backend (yaml, sqlite, mem0) | yaml |
TILDE_PROFILE | Custom profile path | ~/.tilde/profile.yaml |
# View current configuration
tilde config
tilde config --save
tilde config --set llm_model=gemini-1.5-pro
tilde config --path
Note: API keys are NEVER saved to the config file for security. Always set them via environment variables.
# Minimal setup (just one API key!)
export GOOGLE_API_KEY="your-google-api-key"
tilde config
只显示了开头部分;其余内容请在仓库中阅读