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)
AI agent governance: content scanning, audit logs, policy evaluation, session management.
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。
BULWARK_CONFIG, BULWARK_SESSION_TOKEN标为机密的值是你账户的钥匙。千万不要分享给别人,也不要粘贴到聊天里。
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": {
"bulwark": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"BULWARK_CONFIG",
"-e",
"BULWARK_SESSION_TOKEN",
"ghcr.io/bpolania/bulwark:v0.2.0",
"mcp",
"start"
],
"env": {
"BULWARK_CONFIG": "your-value",
"BULWARK_SESSION_TOKEN": "your-value"
}
}
}
}在终端中运行这条命令
claude mcp add bulwark --env BULWARK_CONFIG=your-value --env BULWARK_SESSION_TOKEN=your-value -- docker run -i --rm -e BULWARK_CONFIG -e BULWARK_SESSION_TOKEN ghcr.io/bpolania/bulwark:v0.2.0 mcp start运行前请先填写空着的值。
粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"bulwark": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"BULWARK_CONFIG",
"-e",
"BULWARK_SESSION_TOKEN",
"ghcr.io/bpolania/bulwark:v0.2.0",
"mcp",
"start"
],
"env": {
"BULWARK_CONFIG": "your-value",
"BULWARK_SESSION_TOKEN": "your-value"
}
}
}
}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": {
"bulwark": {
"type": "stdio",
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"BULWARK_CONFIG",
"-e",
"BULWARK_SESSION_TOKEN",
"ghcr.io/bpolania/bulwark:v0.2.0",
"mcp",
"start"
],
"env": {
"BULWARK_CONFIG": "your-value",
"BULWARK_SESSION_TOKEN": "your-value"
}
}
}
}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。
BULWARK_CONFIG env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6日
注册名称已通过 GitHub 账户 bpolania 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。
你需要填写:BULWARK_SESSION_TOKEN
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(0.2.0)于8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 Docker。
同一分类中有:Spec Driven Development, Remote Desktop Commander, topo^alpin
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.
Avalanche bulletins and mountain weather forecasts for any place in the Alps.
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。
Open-source governance layer for AI agents.
Bulwark sits between AI agents and external tools, enforcing policies, managing credentials, inspecting content, and maintaining a complete audit trail. One policy governs all your agents — Claude Code, OpenClaw, Codex, or any MCP/HTTP client.
AI agents are powerful but ungoverned. They can access any tool, leak any credential, and leave no audit trail. Bulwark fixes this:
# Homebrew (macOS / Linux)
brew install bpolania/tap/bulwark
docker pull ghcr.io/bpolania/bulwark
git clone https://github.com/bpolania/bulwark.git cd bulwark && cargo build --release
This walkthrough connects Claude Code to GitHub through Bulwark. Every tool call is policy-evaluated, audited, and credential-injected — in about 5 minutes.
Prerequisites: Claude Code installed, a GitHub personal access token, and Node.js/npm (for the GitHub MCP server).
bulwark init my-project && cd my-project
bulwark doctor
doctor runs 9 diagnostic checks. All should pass.
bulwark cred add github-token --type bearer_token
Configure the credential-to-tool binding in your bindings file so Bulwark knows to inject this token for GitHub tool calls.
Edit bulwark.yaml:
mcp_gateway:
upstream_servers:
policy: policies_dir: "./policies" hot_reload: true
audit: enabled: true
inspect: enabled: true inspect_requests: true inspect_responses: true
Make sure GITHUB_TOKEN is set in your shell (export GITHUB_TOKEN=ghp_...).
cat > policies/base.yaml << 'EOF'
metadata: name: quickstart-policy scope: global
rules:
EOF
bulwark policy validate
# Create a session (--ttl is in seconds: 28800 = 8 hours)
bulwark session create --operator $(whoami) --agent-type claude-code --ttl 28800
export BULWARK_SESSION="bwk_sess_7f3a..." # paste your actual token
claude mcp add --transport stdio bulwark \ --env BULWARK_SESSION=$BULWARK_SESSION \ -- bulwark mcp start
Start Claude Code. GitHub tools appear namespaced as github__list_issues, github__create_issue, etc.
Try it:
"List the open issues in my repo"
Open a second terminal:
bulwark audit tail
22:01:03 github__list_issues ✓ allow 3ms (allow-reads)
Every call is logged with the verdict, matched rule, and timing. Now try something destructive:
"Delete issue #1"
22:02:01 github__delete_issue ✗ deny <1ms (block-destructive)
Blocked. Sub-millisecond — policy evaluation happens in memory. The agent gets a structured error explaining which rule denied it.
Claude Code connected to Bulwark (not directly to GitHub). For every tool call, Bulwark validated the session, scanned for secrets/PII, evaluated the policy, injected the real GitHub token, scanned the response, and recorded a tamper-evident audit event. Same agent experience — full governance underneath.
Content inspection — 13 built-in patterns scan for AWS keys, GitHub tokens, private keys, PII, and prompt injection. Redaction happens before content reaches the agent.
bulwark inspect rules
bulwark inspect scan --text "my key is [PopNx MCP ตัดค่าที่หน้าตาเหมือนกุญแจออก]"
Policy replay — Preview the impact of policy changes against real audit history before deploying:
bulwark policy test --dir ./new-policies/ --since 1h
Audit forensics — Reconstruct a session timeline and verify the hash chain:
bulwark session inspect <session-id>
bulwark audit verify bulwark audit export --since 24h --format json
HTTP proxy mode — For non-MCP agents, Bulwark runs as a forward proxy with TLS interception:
bulwark proxy start
bulwark ca export # trust the CA in your HTTP client
┌─────────────┐ ┌──────────────────────────────────────────────┐ ┌──────────────┐
│ │ │ Bulwark │ │ │ │ AI Agent │────>│ Session > Inspect > Policy > Inject > Proxy │────>│ Upstream │ │ (Claude, │<────│ <── Audit <── Inspect <── Response <─────── │<────│ Tool/API │ │ Codex, │ │ │ │ │ │ custom) │ └──────────────────────────────────────────────┘ └──────────────┘ └─────────────┘
| Mode | Transport | Best For |
|---|---|---|
| MCP Gateway (stdio) | stdio/JSON-RPC | Claude Code, OpenClaw, any MCP client |
| MCP Gateway (HTTP) | Streamable HTTP | Remote agents, MCP registry, multi-agent |
| HTTP Proxy | HTTP/HTTPS | Codex, curl, any HTTP client |
# policies/base.yaml
metadata: name: my-policy scope: global
rules:
See examples/policies/ for complete policy sets (startup, enterprise, development, multi-agent).
bulwark init <path> # Scaffold a new project
bulwark proxy start # Start HTTP/HTTPS proxy bulwark mcp start # Start MCP gateway (stdio) bulwark mcp serve # Start MCP gateway (HTTP) bulwark doctor # Diagnose setup issues (9 checks) bulwark status # Health dashboard bulwark policy validate # Validate policy files bulwark policy test --dir # Test policies against audit log bulwark session create|list|revoke|inspect bulwark cred add|list|remove|test bulwark audit search|tail|stats|export|verify bulwark inspect scan|rules # Content inspection bulwark ca export|path # CA certificate management bulwark completions # Shell completions (bash/zsh/fish)
git clone https://github.com/bpolania/bulwark.git
cd bulwark cargo build --workspace cargo test --workspace # 487 tests cargo clippy --workspace --all-targets -- -D warnings
crates/
cli/ # CLI binary and commands proxy/ # HTTP/HTTPS forward proxy with TLS MITM mcp/ # MCP governance gateway config/ # Configuration loading and types policy/ # YAML policy engine with hot-reload vault/ # Credential storage and session management audit/ # Tamper-evident audit logging inspect/ # Content inspection (secrets, PII, injection) ratelimit/ # Token-bucket rate limiter and cost tracker common/ # Shared types and error definitions
Apache 2.0. See LICENSE.