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)
Pre-transaction token risk checks for autonomous agents on six chains. Read-only; paid via x402.
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 …”。
适用于网页版、桌面版和手机版 Claude:
https://api.bitfence.ai/mcp在终端中运行这条命令
claude mcp add --transport http bitfence https://api.bitfence.ai/mcp粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"bitfence": {
"url": "https://api.bitfence.ai/mcp"
}
}
}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": {
"bitfence": {
"type": "http",
"url": "https://api.bitfence.ai/mcp"
}
}
}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。
ChatGPT 只能连接互联网上的服务器:
https://api.bitfence.ai/mcp菜单名称可能因套餐和版本不同而略有差异。
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。
我们还没有读取这个服务器的工具列表;我们会轮流检查各个端点。
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 bitfenceai 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
尚未检查;我们会轮流检查各个端点
尚未检查;我们会轮流检查各个端点
尚未检查;我们会在检查端点时读取工具列表
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。
它在作者的云端运行。通过互联网连接,无需安装,但你发送的内容会经过作者的服务器。
GitHub 仓库最后更新于–,最新版本(0.7.7)于4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。它通过 URL 连接,所以接受远程 MCP 服务器的应用也可以使用,例如开启开发者模式的 ChatGPT。
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。
The risk layer agents can't skip.
bitfence is a pre-transaction token risk oracle for autonomous AI agents operating on Solana, Base, Ethereum, Arbitrum, BSC, and HyperEVM. Before an agent swaps, transfers, or interacts with a token, bitfence returns a structured risk assessment in under a second: a composite score, confidence value, action recommendation, and any active circuit-breaker flags.
🔗 bitfence.ai · 📄 Whitepaper · 𝕏 @bitfenceai
Autonomous agents now hold keys, read mandates, and broadcast transactions without a human in the loop. The agent frameworks shipping today expose swap and transfer actions with no systematic pre-transaction safety check. The risk-assessment tooling that exists was built for a human reading a wallet pop-up — not a machine routing on structured fields.
bitfence fills the gap: a pre-intent token risk layer designed for machine consumption. Neutral, transparent, agent-native, per-call priced. It is complementary to existing wallet-grade tools, not competitive with them.
Risk is decomposed into six categories — each a distinct mechanism by which a holder's position is destroyed — and assembled into a 0–100 composite with maturity-aware scoring and structured circuit-breaker overrides.
| Category | What it covers |
|---|---|
| Exit Integrity | Honeypot behaviour (measured by bitfence's own transaction simulation on EVM chains), sell/transfer taxes and their modifiability, freeze authority, transfer blocking |
| Supply Integrity | Mint authority, hidden ownership, owner-editable balances, permanent delegates, upgradeable proxies, selfdestruct, metadata mutability |
| Liquidity Integrity | LP lock and burn status, unlock schedule, pool depth, deployer-held LP, pool age |
| Holder & Insider Risk | Top-holder share, deployer share, holder count, sniper/insider/bundler cohorts, holder wallet ages |
| Provenance | Deployer track record, observed prior rugs, vendor scam verdicts, launchpad lifecycle, verification registries |
| Market Integrity | Wash-trade ratios, old-wallet flow share, price/volume divergence |
Circuit breakers override the composite: measured threats (honeypot, confiscatory sell tax, selfdestruct) block even trusted tokens; heuristic flags floor the score for any token outside the curated trusted-token registry. The reported confidence value reflects only the data sources actually consulted, with cross-source disagreements excluded.
The full methodology is in the whitepaper.
The same scoring engine is exposed through four interfaces. Each returns the same RiskAssessment structure.
For integration details, contact info@bitfence.ai.
Documentation, whitepaper, and integration surfaces are open under Apache 2.0. The scoring engine source remains closed for security reasons: publishing exact circuit-breaker thresholds, signal weights, and maturity logic would let adversarial token deployers engineer tokens that sit immediately below the trigger points, defeating the protection bitfence provides to agents downstream. This trade-off is discussed in the whitepaper.
A publishable methodology document — one useful to other Ethereum security teams without exposing trigger logic to deployers — is in active development.
See SECURITY.md for vulnerability disclosure.
Apache License 2.0