Rhumb MCP
Agent-native tool intelligence — discover, score, and compare 600+ APIs across 16 MCP tools. Zero-signup discovery, AN Score methodology, failure mode data, and managed execution.
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 [email protected]
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
相關伺服器
Simple Files Vectorstore
Provides semantic search across local files by creating vector embeddings from watched directories.
Deep Research
An agent-based tool for web search and advanced research, including analysis of PDFs, documents, images, and YouTube transcripts.
ArtistLens
Access the Spotify Web API to search and retrieve information about tracks, albums, artists, and playlists.
MCP RAG
A managed Retrieval-Augmented Generation (RAG) server using MCP, integrated with knowledge bases and OpenSearch.
Ferengi Rules of Acquisition
Provides the Ferengi Rules of Acquisition with powerful search and retrieval capabilities.
Semantic API
Natural language API discovery — search 700+ API capabilities, get endpoints, auth setup, and code snippets.
Librarian
A server to query Wikipedia and automatically fact-check information for any LLM with a compatible MCP client.
MCP Knowledge Base
A knowledge base server that processes local documents (PDF, DOCX, TXT, HTML) and answers questions based on their content using similarity search.
Sci-Hub MCP Server
Search and access academic papers from Sci-Hub by DOI, title, or keyword.
Manalink MCP Server
An MCP server implementation for Manalink that allows AI assistants to use functions like teacher search.