Rhumb
Discover and evaluate APIs for AI agents with AN Score, then access them through MCP or REST with zero-signup discovery and managed execution paths.
README
Rhumb
Agent-native tool intelligence. Discover, evaluate, and execute external tools — with trust scores, failure modes, cost-aware routing, and managed credentials.
🌐 rhumb.dev · ⚡ Quickstart · 💵 Pricing · 📊 Leaderboard · 📖 Methodology · 🔑 Trust
For agents: See
llms.txtfor machine-readable documentation andagent-capabilities.jsonfor structured capability metadata.
Start in 30 seconds
MCP (recommended)
npx rhumb-mcp@latest
Zero config. Discovery tools work immediately — no signup, no API key.
For execution, pass your Rhumb API key:
RHUMB_API_KEY=your_key npx rhumb-mcp@latest
API (read-only, no auth)
curl "https://api.rhumb.dev/v1/services/stripe/score"
All read endpoints are public.
What Rhumb does
Agents need external tools. Choosing the right one is hard — not because of feature lists, but because of:
- auth and signup friction
- provisioning reality vs. marketing claims
- schema instability
- failure recovery when no human is watching
- hidden costs and rate limits
Rhumb makes those constraints visible before you commit.
Rhumb Index — Discover & Evaluate
695 scored services across 50+ domains. Each gets an AN Score (0–10) measuring execution quality, access readiness, and agent autonomy support.
find_services— search by capability, domain, or namean_score— full score breakdown with dimension-level detailget_alternatives— ranked alternatives for any serviceget_failure_modes— known failure patterns before you integrate
Rhumb Resolve — Execute
414 capabilities across 23 providers. Cost-aware routing picks the best provider for each call.
execute_capability— call a capability through Resolve with managed authresolve_capability— see ranked providers before executingestimate_capability— get cost estimate before committing- Budget enforcement, credential management, and execution telemetry included
Three credential modes
| Mode | How it works |
|---|---|
| BYO | Bring your own API key — Rhumb routes, you authenticate |
| Rhumb-managed | Rhumb holds the credential — zero setup for the agent |
| Agent Vault | Your key, encrypted and stored — Rhumb injects at call time |
Payment paths
- API key — sign up, get a key, prepaid credits
- x402 / USDC — no signup, pay per call on-chain
MCP tools
rhumb-mcp exposes 17 tools:
Discovery
find_services— search servicesan_score— score breakdownget_alternatives— ranked alternativesget_failure_modes— failure patternsdiscover_capabilities— browse capability registryusage_telemetry— your usage analytics
Execution
resolve_capability— ranked providers for a capabilityexecute_capability— execute through Resolveestimate_capability— cost estimate before executioncredential_ceremony— set up credentialscheck_credentials— verify credential statusrouting— configure routing strategy
Billing
budget— set spend limitsspend— check current spendcheck_balance— prepaid balanceget_payment_url— top-up linkget_ledger— transaction history
API
Base URL: https://api.rhumb.dev/v1
| Endpoint | Auth | Purpose |
|---|---|---|
GET /services/{slug}/score |
No | Score breakdown |
GET /services/{slug} |
No | Service profile + metadata |
GET /services/{slug}/failures |
No | Known failure modes |
GET /search?q=... |
No | Search services |
GET /leaderboard/{category} |
No | Category rankings |
GET /capabilities |
No | Capability registry |
GET /capabilities/{id}/resolve |
No | Ranked providers |
POST /capabilities/{id}/execute |
Yes | Execute a capability |
GET /capabilities/{id}/execute/estimate |
Yes | Cost estimate |
GET /telemetry/provider-health |
No | Provider health status |
GET /telemetry/usage |
Yes | Your usage analytics |
GET /pricing |
No | Machine-readable pricing |
Examples
See examples/ for runnable scripts:
| Example | What it shows | Auth needed? |
|---|---|---|
| discover-and-evaluate.py | Search → Score → Failure modes | No |
| resolve-and-execute.py | Resolve → Estimate → Execute | Yes |
| budget-aware-routing.py | Budget + cost-optimal routing | Yes |
| dogfood-telemetry-loop.py | Repeatable Resolve → telemetry verification loop | Yes |
| mcp-quickstart.md | MCP setup for Claude, Cursor, etc. | Optional |
# Try discovery right now (no auth needed)
pip install httpx && python examples/discover-and-evaluate.py
Docs
- Agent Accessibility Guidelines — making web interfaces usable by AI agents
- AN Score Methodology — scoring dimensions, weights, and rubrics
- Architecture — scoring engine design
- API Reference — endpoint details
- Security Policy — vulnerability reporting and security architecture
- Runbooks — operational procedures
- Dogfood Loop — repeatable Resolve → telemetry validation harness
Repo structure
rhumb/
├── packages/
│ ├── api/ # Python API (Railway)
│ ├── astro-web/ # Public website (Vercel)
│ ├── mcp/ # MCP server (npm)
│ ├── cli/ # CLI tooling
│ └── shared/ # Shared types/constants
├── examples/ # Runnable examples
├── docs/ # Public documentation
├── scripts/ # Scoring + verification
├── artifacts/ # Score datasets
├── llms.txt # Machine-readable docs for agents
└── agent-capabilities.json # Structured capability manifest
Development
# API
cd packages/api && pip install -r requirements.txt && uvicorn app:app --reload
# MCP
cd packages/mcp && npm ci && npm run dev
# Web
cd packages/astro-web && npm ci && npm run dev
Node 24+ recommended (.nvmrc included).
Score disputes
Every score is disputable. If you believe a score is inaccurate:
- Open a GitHub issue with evidence
- Or email providers@supertrained.ai
Negative findings remain visible. Rhumb does not accept payment to change scores.
Links
- Website: rhumb.dev
- npm: rhumb-mcp
- MCP Registry: Rhumb on MCP Registry
- X: @pedrorhumb
License
推荐服务器
Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。
mcp-server-qdrant
这个仓库展示了如何为向量搜索引擎 Qdrant 创建一个 MCP (Managed Control Plane) 服务器的示例。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。