Solana MCP by Vybe
Solana MCP developer toolkit: wallets, trades, markets, PnL, transfers, onchain, swaps & API tools.
Deterministic AI-liability attribution: signed, Bitcoin-anchored vendor/deployer/user fault split.
选择你使用的 AI 应用,然后复制设置。
通过 3/4 项检查 · 你的提问会经过开发者的服务器(causallayer-mcp-demo.zykm9qkk7j.workers.dev)
第一步:你用哪个 AI?
选择你用的应用,步骤会显示在下方。
可连接 Claude · 约 2 分钟
不需要密钥,不用安装程序 · 在 claude.ai 或桌面应用设置一次,即可在聊天中使用 · 免费账户可添加 1 个
CustomizeConnectors
把这里的内容复制到 Claude 中同名的输入框,然后点击 Continue
FaultKey · CausalLayerhttps://causallayer-mcp-demo.zykm9qkk7j.workers.dev/mcpAuthentication 保持 Claude 检测到的设置,然后点击 Add
+ConnectorsFaultKey · CausalLayer
用 FaultKey · CausalLayer 告诉我你能帮我做什么,然后做一件给我看✓ 如果 Claude 说正在使用 FaultKey · CausalLayer,或回答中出现 FaultKey · CausalLayer 的工具名称,就表示连接成功
菜单名称已于 2026年11月11日 对照 Anthropic 帮助页面核实 · 你的界面可能因版本略有不同
仅企业版 ChatGPT 可连接
适用于网页版 ChatGPT Business、Enterprise 或 Edu,需由工作区管理员或所有者添加 · 使用 Free、Plus 或 Pro:你的 ChatGPT 方案暂时无法自行连接 MCP
Plugins+Add custom MCP server
输入名称,在 Connection 下粘贴地址,勾选风险提示,然后点击 Create as a plugin
FaultKey · CausalLayerhttps://causallayer-mcp-demo.zykm9qkk7j.workers.dev/mcp开启新聊天,输入前先从插件列表中选择 FaultKey · CausalLayer
用 FaultKey · CausalLayer 告诉我你能帮我做什么,然后做一件给我看✓ 如果 ChatGPT 说正在使用 FaultKey · CausalLayer,或回答中出现 FaultKey · CausalLayer 的工具名称,就表示连接成功
菜单名称已于 2026年11月11日 对照 OpenAI 帮助页面核实 · 你的界面可能因版本略有不同
可连接 Claude Code · 约 2 分钟
不需要密钥,不用安装程序
Mac:按 Command+空格,输入 Terminal · Windows:打开 PowerShell
claude mcp add --transport http causallayer https://causallayer-mcp-demo.zykm9qkk7j.workers.dev/mcp应能看到 FaultKey · CausalLayer 在列表中并显示已连接
用 FaultKey · CausalLayer 告诉我你能帮我做什么,然后做一件给我看✓ 如果 Claude Code 说正在使用 FaultKey · CausalLayer,或回答中出现 FaultKey · CausalLayer 的工具名称,就表示连接成功
菜单名称已于 2026年11月11日 对照 Anthropic 帮助页面核实 · 你的界面可能因版本略有不同
可连接 Cursor · 约 2 分钟
不需要密钥,不用安装程序
用 FaultKey · CausalLayer 告诉我你能帮我做什么,然后做一件给我看✓ 如果 Cursor 说正在使用 FaultKey · CausalLayer,或回答中出现 FaultKey · CausalLayer 的工具名称,就表示连接成功
菜单名称已于 2026年11月11日 对照 Cursor 帮助页面核实 · 你的界面可能因版本略有不同
可连接 VS Code · 约 2 分钟
不需要密钥,不用安装程序
用 FaultKey · CausalLayer 告诉我你能帮我做什么,然后做一件给我看✓ 如果 VS Code 说正在使用 FaultKey · CausalLayer,或回答中出现 FaultKey · CausalLayer 的工具名称,就表示连接成功
菜单名称已于 2026年11月11日 对照 VS Code 帮助页面核实 · 你的界面可能因版本略有不同
其他支持 MCP 的应用(如 Windsurf、Zed、Gemini CLI)添加方式各不相同,请在应用列表中查看
通过网页连接的应用使用的地址
https://causallayer-mcp-demo.zykm9qkk7j.workers.dev/mcpJSON 设置在下方“开发者专用”中
Claude Code
claude mcp add --transport http causallayer https://causallayer-mcp-demo.zykm9qkk7j.workers.dev/mcpCursor (~/.cursor/mcp.json)
{
"mcpServers": {
"causallayer": {
"url": "https://causallayer-mcp-demo.zykm9qkk7j.workers.dev/mcp"
}
}
}VS Code (mcp.json)
{
"servers": {
"causallayer": {
"type": "http",
"url": "https://causallayer-mcp-demo.zykm9qkk7j.workers.dev/mcp"
}
}
}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。
依据这个服务器的连接方式和各应用自己的文档,检查于 2026年11月10日。
通过互联网连接,适用于
ClaudeChatGPTGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatOpen WebUIRaycast
工具名称和描述与服务器在 2026年11月11日 报告的完全一致。这些内容由作者撰写,不是我们写的;我们以纯文本形式显示。
submit_incidentSubmit an AI incident for deterministic causal liability attribution. Returns a signed CausalCertificate, per-agent liability allocation, evidence-chain completeness, regulatory mapping, and (where keys are configured) a Bitcoin-anchored proof. Cost: 50 credits. Three guardrails
verify_certificateIndependently verify a CausalCertificate end-to-end (signature, Merkle integrity, issuer status against the registry). Cost: 1 credit. In production env, certificates from non-active issuers are rejected.
verify_certificate_recomputeIndependently re-derive a CausalCertificate from its canonical input and compare byte-for-byte against the claimed certificate. This is the strongest verification path: it requires no trust in the issuer or signing key. Cost: 1 credit (same price as verify_certificate). Returns P
submit_otel_traceConvert an OpenTelemetry OTLP JSON trace into a FaultKey incident and return the same deterministic CausalCertificate as submit_incident. Each span becomes an event; service.name groups spans into agents; W3C trace_id and span_id propagate as evidence pointers on the causal graph
simulate_remediationCounterfactual remediation simulator. Given a certificate's verdict + fourFactorScoring + agents and a list of remediation IDs from the FK-METHOD-2026-003 catalog, return the apportioned shares each remediation would have produced (in isolation) and the composite shares if they a
query_jurisdiction_overlayMulti-jurisdiction overlay (FK-METHOD-2026-004). Given a canonical attributable apportionment (party-id -> share), the union of all jurisdiction role tags on each actor, and the union of jurisdiction-specific flags, return side-by-side post-overlay shares for AU, EU, US, UK, CA (
evaluate_prospective_responseDeterministic prospective-evaluation gate (FK-METHOD-2026-006). Pass a ProposedAction BEFORE the agent delivers a response; receive one of three verdicts: 'allow', 'require_revision' (with specific factor-keyed directives), or 'block'. Uses the same four-factor engine that issues
get_anchor_statusReturn the index of all CausalLayer Tessera anchor batches, or one batch's full JSON (signed Merkle root, leaves, OpenTimestamps proof reference). FREE.
query_issuer_registryReturn the CausalLayer issuer registry, or one issuer record. The registry lists all trusted public-key fingerprints, key algorithms, validity windows, and the anchor-log repo for each active issuer. FREE — no API key required.
extract_incidentClaude-powered structured extractor. Parses unstructured text (news articles, court filings, emails, PDFs, incident reports, logs) into the typed JSON schema required by submit_incident. Returns a ready-to-submit incident object with extracted agents, events, severity, jurisdicti
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12日
提问、分享技巧或报告无法使用。按“有帮助”数量排序。
还没有评价
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 4 项适用的基础检查中通过了 3 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2个月前,最新版本(0.2.0)于6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,因此也能用于支持远程 MCP 的应用,例如 ChatGPT Business 及以上方案。
同一分类中有:Solana MCP by Vybe, Oracle3 prediction-market arbitrage checks, Polymarket Paper Trader
同一分类中其他作者的服务器,按星标数排序。
如何看卡片:↓ 每周下载量i★ 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
Solana MCP developer toolkit: wallets, trades, markets, PnL, transfers, onchain, swaps & API tools.
Kalshi and Polymarket data, venue fees, no-arbitrage checks and paper execution for AI agents.
Polymarket paper trading for AI agents: $10k paper money, real order books, official fees.
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。
Deterministic fault math for multi-party AI incidents. When an AI causes harm and three parties argue over who pays, FaultKey returns a signed, Bitcoin-anchored certificate of fault allocation in under 200 ms — no LLM, no probabilistic scoring, no vendor cooperation needed for a third party to verify.
This is the official Model Context Protocol (MCP) server for the CausalLayer engine, packaged as a Cloudflare Worker. It lets AI agents (Claude Desktop, Cursor, Cline, Continue, Windsurf) call the four core liability-attribution tools without writing a single line of integration code.
If this saves you time, [give it a star](https://github.com/smq9sn5jck-coder/causallayer-mcp/stargazers) — it helps others find it and tells us people care.
🎮 [Try the Interactive Demo](https://mcp.faultkey.com/try) — No setup required. Pick a scenario, click "Run Analysis", see real-time liability attribution.
The public Worker is deployed on Cloudflare's global edge network and is fully functional in standalone demo mode (deterministic responses, watermarked, rate-limited 5 calls / IP / day):
https://mcp.faultkey.com/mcp (live, custom domain)https://causallayer-mcp-demo.zykm9qkk7j.workers.dev/mcp/healthz/stats (public, aggregated, no PII)Add this to ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows):
{
"mcpServers": { "faultkey": { "command": "npx", "args": ["-y", "causallayer-mcp"] } } }
Restart Claude. Type *"List the FaultKey tools."*
Settings → MCP Servers → Add new:
faultkeynpx -y causallayer-mcp{
"name": "faultkey", "command": "npx", "args": ["-y", "causallayer-mcp"] }
curl -X POST https://causallayer-mcp-demo.zykm9qkk7j.workers.dev/mcp \
-H "Content-Type: application/json" \ -H "Accept: application/json, text/event-stream" \ -d '{"jsonrpc":"2.0","id":0,"method":"initialize","params":{"protocolVersion":"2024-11-05","capabilities":{},"clientInfo":{"name":"test","version":"0"}}}'
The response includes a Mcp-Session-Id header that you reuse for subsequent calls.
| Tool | Description | Demo limit | Paid cost |
|---|---|---|---|
submit_incident | Submit an AI incident for deterministic liability attribution. Returns a signed CausalCertificateV1 with per-agent fault allocation, evidence-chain completeness, and Bitcoin-anchored proof. | 5 / IP / day | 50 credits |
verify_certificate | Independently verify a certificate (signature, Merkle integrity, issuer status) without calling FaultKey. | 50 / IP / day | 1 credit |
get_anchor_status | Return the index of all Tessera anchor batches or one batch's full JSON (signed Merkle root, OpenTimestamps proof reference). | Unlimited | Free |
query_issuer_registry | List all trusted CausalLayer issuer public-key fingerprints, status, and validity windows. | Unlimited | Free |
Insurers, banks, and APRA-regulated entities cannot accept LLM-based fault attribution because the same prompt produces different answers on different days. FaultKey uses a closed-form causal scoring algorithm (graph-theoretic, version-pinned, byte-identical reproducible across runs) so two adversarial parties get the same number — that's the whole point.
The math is published as an Australian Standards-aligned paper. The signed certificate, issuer registry, and Merkle anchor log are all independently verifiable by a third party using only Node's built-in crypto and the causallayer-verifier tool — no network calls back to the vendor.
pii_acknowledged: true (which is logged in the certificate as a compliance acknowledgement).deterministic_only: true. This is the agent's binding acknowledgement that FaultKey output is closed-form, not probabilistic.400 evidence_insufficient.You can deploy your own copy to your own Cloudflare account if you want to enforce a corporate firewall, custom rate limits, or bring your own KV namespace:
git clone https://github.com/smq9sn5jck-coder/causallayer-mcp.git
cd causallayer-mcp pnpm install pnpm wrangler kv namespace create LEDGER
pnpm wrangler deploy
The CausalLayer engine itself (the closed-form fault math) runs upstream and is available via API key. For self-hosted demos without an upstream, set STANDALONE_DEMO=true in wrangler.jsonc to short-circuit upstream calls and return deterministic, watermarked responses.
[Claude/Cursor/Cline] ←→ [npx causallayer-mcp] ←→ [Cloudflare Worker] ←→ [CausalLayer engine]
(mcp-remote proxy) (this repo) (Fly.io Sydney) ↓ [KV: credit ledger] [DO: per-session state] [KV: telemetry buffer]
CausalLayerMCP), SQLite-backed[DEMO] watermark| Tier | Credits | $AUD | Notes |
|---|---|---|---|
| Demo | 5 incidents / IP / day | Free | Watermarked responses |
| Starter | 1,000 | $99 | Stripe Checkout, no SLA |
| Growth | 10,000 | $749 | + 50 verify, 99.5% SLA |
| Enterprise | Unmetered | Contact | + dedicated namespace, 99.95% SLA, audit log access |
For enterprise tenants email sales@faultkey.com (or open a GitHub issue with subject "enterprise inquiry").
Score any AI incident in seconds — faultkey.com/score — describe what happened, get a deterministic liability split with dollar exposure, jurisdiction analysis, and a shareable verdict card.
Compare vendor liability profiles — faultkey.com/compare — side-by-side comparison of AI vendors (OpenAI vs Anthropic vs Google etc.) across incident types.
Public accuracy ledger — faultkey.com/track-record — 7/7 direction match on backtested cases, 3 pending predictions on active litigation.
Apache 2.0. See LICENSE.
If FaultKey helped you understand AI liability, saved you research time, or you just think deterministic fault attribution should exist:
FaultKey is built in Brisbane, Australia, with data residency in Sydney for APRA-regulated buyers. The team can be reached at hello@faultkey.com.