Server data from the Official MCP Registry
Search a registry of agent skills and MCP servers, then run them for real. No install, traced.
About
Search a registry of agent skills and MCP servers, then run them for real. No install, traced.
Remote endpoints: streamable-http: https://rokha.ai/mcp/jsonrpc
Security Report
Valid MCP server (1 strong, 1 medium validity signals). No known CVEs in dependencies. Imported from the Official MCP Registry. 1 finding(s) downgraded by scanner intelligence.
219 tools verified · Open access · 2 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Found in Source Code
Found by scanning the linked source code. This listing connects to a hosted endpoint, so none of this runs on your machine: it describes what the server software does where it is hosted.
How to Connect
Remote Plugin
No local installation needed. Your AI client connects to the remote endpoint directly.
Add this to your MCP configuration to connect:
{
"mcpServers": {
"ai-rokha-rokha": {
"url": "https://rokha.ai/mcp/jsonrpc"
}
}
}Documentation
View on GitHubFrom the project's GitHub README.
Rokha SDK
Rokha is the AI studio and launchpad: build in the Studio → launch on the Rokha Network → the Network carries it, and pays the people who do. Underneath, it is the phone book — and the kitchen — of the agentic world. Tens of thousands of agent skills are published to open registries, and without a runtime they're inert: recipes without a kitchen. Rokha is where you look one up, check it's safe, and run it for real — no install, no setup, real results with the receipts (a trace) to prove it. The runtime is the product.
Two kinds of users, one platform: look-up users find and try tools fast (chat with Rokha and 2 free runs a day, no account); builders chain skills into workflows, then sign in to keep, publish, and compose them. Agents are first-class citizens: everything a human can do in the browser, an agent can do through the same open MCP/API doors — and workflows themselves resolve to portable skill files any connected agent can read and run.
This repo holds the client libraries for integrating with Rokha via Erebus (port 3000).
Connecting an AGENT? One line: claude mcp add --transport http rokha https://rokha.ai/mcp/jsonrpc (Cursor and any MCP client work the same way) —
discovery needs no account, and the machine-readable map is
rokha.ai/llms.txt. Full recipe, including what an
agent can do and the paste-to-your-agent version:
docs/guides/connect-your-agent.md.
Found a bug, or have an idea? See docs/guides/feedback.md — TL;DR: open an issue if you're a developer, or use the 🐞 Report a bug link in the rokha.ai footer if you'd rather not have a GitHub account (we file it for you).
The Network is live — pick your door. Build in the Studio → agents use it → usage earns rank → the Network carries the top → creators, sellers and promoters are paid every Friday in USDC. Join ($99/mo, or $249/mo with the Studio) · sell what you build (keep 80%, USDC sales pay instantly — docs/guides/sell-and-buy.md) · earn as a promoter (rokha.ai/tailwind) · agents join the same way over MCP and the API (docs/guides/connect-your-agent.md, skills/rokha-network) · fuel runs and boosts with $ROKHA, drawn at cost.
Launching on the Rokha Network? docs/guides/advertise.md — the plans (Network $99/mo, Network + Studio $249/mo), what a member gets, and Get carried today.
Building a tool of your own? docs/guides/scripted-skills.md — and give it a dashboard: docs/guides/build-a-stage.md is the full step-by-step recipe for shipping a real, executable Agent Skill — compiled core → npm wrapper → SKILL.md → Rokha registry → Rig — the same pattern behind Solwatch.
Published a rig? docs/guides/runs-traces-data.md — publish in one call, run with named inputs, read any public rig's run by its id (no auth), feed it your own data, and paper-trade with real quotes.
Selling it? docs/guides/sell-and-buy.md — put a price on a rig, skill or agent (you keep 80%, crypto sales pay you instantly), and let agents pay and run in one call with x402.
Design & lore artifacts — the public art bibles and world-building documents behind SEEDFALL (the living world of rokha.ai), published for the community: rokha-ai.github.io/rokha-sdk/artifacts.
Packages
| Package | Language | Path | What it is |
|---|---|---|---|
@rokha_ai/sdk | TypeScript | sdk/typescript/ | Typed HTTP client |
rokha-sdk | Python | sdk/python/ | Typed HTTP client |
ro | Rust (CLI) | svc/rokha-cli/ | The local terminal agent |
Distribution status (live since 2026-08-06): everything below is published and installable today —
npm i @rokha_ai/sdk,npx -y @rokha_ai/cli,cargo install rokha-cli,brew install aetherBytes/tap/rokha, or the one-linescripts/install.shbinary installer. The one exception: the Python package (rokha-sdkon PyPI) is still pending — install it from source here until it lands.
The local terminal agent (ro)
ro is a lightweight local interface to Rokha: a thin client on your
machine that does no heavy lifting itself — discovery, execution, and the agent
all run on the platform. Everything a human does in the browser, ro does from
the terminal against the same public API/MCP doors.
ro status # remote reachability + schema match + login state
ro login # browser device-flow sign-in (RFC 8628)
ro tools list <query> # search the live Rokha Registry (205k+ listings)
ro chat "<message>" # one-shot chat with the Rokha agent
ro run <slug> # run a registry skill FOR REAL in the platform sandbox
ro tui # live heads-up monitor (status / registry / agent)
ro mcp serve # expose the FULL platform tool suite to any MCP host
ro mcp install # hook the bridge into Claude Code / Claude Desktop
ro run is the product thesis from the terminal: the skill executes on a
throwaway, isolated cloud sandbox (nothing installs locally, no secrets
travel), progress streams live, and the trace is the receipt. Anonymous runs
ride the free daily taste; logged in, runs draw from your plan's quota — the
runner pays, always.
ro mcp serve is the headline: it's a transparent stdio↔platform MCP
bridge. Point Claude Desktop, Claude Code, or any MCP client at it and you get
the platform's real tools — registry search, skill fetch, chat, rigs, runs —
executing on Rokha. Because it's a passthrough, new platform tools appear the
moment the server ships them; no CLI upgrade required. Logged in (ro login),
your JWT unlocks the authed toolkit; anonymous, the public tool set answers.
API Surface
All requests route through Erebus — one front door. Point the SDK at
https://api.rokha.ai for the live platform, or http://localhost:3000 for a
local dev stack. No direct service connections.
| Path | Service | Description |
|---|---|---|
/api/agents/* | Agents | Chat, tasks, models |
/api/harnesses/* | Harnesses | Memory/context CRUD |
/api/marketplace/registry | Rokha Registry | Listings, search, discovery |
/api/runtime/* | Runtime | Run a skill for real (free taste + tier-quota run) |
/api/wallets/* | Erebus | Auth, sessions |
/api/v1/chat/completions · /api/v1/models | LLM Proxy | OpenAI-compatible |
/api/v1/llm/proxy | LLM Proxy | Anthropic /v1/messages-shaped |
/mcp/jsonrpc | MCP | MCP 2025-11-25 JSON-RPC (public + authed tools) |
/api/discovery/* | Erebus | Service/tool discovery |
/api/skills/* | Erebus | First-party agentskills.io skills (public, CORS-open) |
Quick Start (TypeScript)
import { RokhaClient } from '@rokha_ai/sdk';
const nb = new RokhaClient({ baseUrl: 'https://api.rokha.ai' });
const status = await nb.agents.status('rokha-agent');
const tools = await nb.mcp.listTools();
const results = await nb.marketplace.search({ query: 'UI design' });
// Run a skill for real (free public taste — 2 free runs a day, no account):
const ack = await nb.runtime.taste({
anon_session_id: crypto.randomUUID(),
skill_provider: 'rokha',
skill_slug: 'some-skill',
harness_id: crypto.randomUUID(),
});
Quick Start (Python)
from rokha import RokhaClient
nb = RokhaClient(base_url="https://api.rokha.ai")
status = nb.agent_status("rokha-agent")
tools = nb.mcp_list_tools()
results = nb.search_listings(query="UI design")
Skills (cross-agent portability)
Rokha publishes agentskills.io-compliant
skills that any compatible agent can drop in — no Rokha harness
required. The skills live alongside this SDK at
skills/
and are served live at GET /api/skills on every Erebus instance.
Browse available skills
# Live registry (CORS-open, no auth)
curl https://api.rokha.ai/api/skills | jq
# Or the public GitHub mirror
curl https://api.github.com/repos/rokha-ai/rokha-sdk/contents/skills | jq '.[].name'
Install a skill
For Claude Code (~/.claude/skills/):
mkdir -p ~/.claude/skills/rokha-audit
curl -fsSL https://raw.githubusercontent.com/rokha-ai/rokha-sdk/main/skills/rokha-audit/SKILL.md \
-o ~/.claude/skills/rokha-audit/SKILL.md
# For skills with references/, scripts/, or assets/, sparse-checkout the folder:
git clone --filter=blob:none --no-checkout https://github.com/rokha-ai/rokha-sdk.git /tmp/nb && \
cd /tmp/nb && git sparse-checkout init --cone && git sparse-checkout set skills/rokha-audit && \
git checkout main && cp -r skills/rokha-audit ~/.claude/skills/
For OpenClaw (~/.openclaw/workspace/skills/), Cursor, Goose, OpenHands,
Codex, or any other agentskills.io-compatible client
— same drop-in pattern, just point at that client's skills directory.
Available skills
| Skill | What it does |
|---|---|
rokha-audit | Security & compliance audit for MCP tools. Three-stage flow: heuristic scan → optional sandboxed probe → harness persistence. |
The layering, briefly
| Layer | What | How to consume |
|---|---|---|
| Distribution | SKILL.md folders (this section) | HTTP fetch from GitHub raw or /api/skills/* |
| Capability | MCP tools — rokha_audit, create_harness, … | Any MCP client: agents service, mcp/jsonrpc endpoint, or via a skill that knows to call them |
| Consumer | Your agent (Claude Code, Cursor, Rokha, nb CLI, …) | Just install the skill; the SKILL.md tells your agent what to do |
You don't need OpenClaw. You don't need Rokha's frontend. You don't need npm. Skill ≠ package. Drop a folder, your agent runs the workflow.
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