MCP gateway for AI agents to Robinhood Chain (Arcus DEX) tokenized US equities: quotes, multipliers, corporate actions, sectors. Read-only, keyless.
- ✓Open-source license (MIT)
- ✓Actively maintained (<30d)
- ✓Clear description
- ✓Topics declared
- ✓Documented (README)
claude mcp add arcus-agent-gateway -- uvx arcus-agent-gateway{
"mcpServers": {
"arcus-agent-gateway": {
"command": "uvx",
"args": ["arcus-agent-gateway"]
}
}
}MCP Servers overview
# arcus-agent-gateway
<!-- mcp-name: io.github.alekskram/arcus-agent-gateway -->
[](https://github.com/alekskram/arcus-agent-gateway/actions/workflows/tests.yml)
[](https://pypi.org/project/arcus-agent-gateway/)
[](https://pypi.org/project/arcus-agent-gateway/)
[](https://glama.ai/mcp/servers/alekskram/arcus-agent-gateway)
[](LICENSE)
[](pyproject.toml)
An MCP (Model Context Protocol) server that gives AI agents read-only, keyless
access to market data for the **194 tokenized US equities** on **Robinhood Chain
(Arcus)** — quotes, corporate actions, trading capabilities, multipliers and a
13-sector map. No API keys, no auth, no writes: every tool is a GET against the
public `api.robinhood.com/rhj` REST surface, cached and rate-limited so an
enthusiastic agent can't hammer the upstream.
## Use cases
- **"Who actually holds AAPL?"** — top holders with on-chain share %, contract vs EOA, concentration risk ([holder_snapshot scenario](examples/use-cases.md))
- **Watch any wallet** — full portfolio across all 194 tokenized equities, valued at cached quotes (`wallet_holdings`)
- **Catch whale moves** — live ERC-20 Transfer feed with a `min_value` filter for large-print alerts (`transfer_history`)
- **Split-safe prices** — raw vs multiplier-adjusted quotes side by side, pending-split warnings with effective time (`quote`, `token_detail`)
- **Morning scan** — market-wide health, halted tokens and 13-sector averages in two cheap calls (`market_status`, `sector_view(warm=True)`)
Full walkthroughs with real outputs: [examples/use-cases.md](examples/use-cases.md).
## Quickstart
**Claude Code:**
```bash
claude mcp add arcus -- uvx arcus-agent-gateway
```
Run over stdio (the default, for local agents):
```bash
uvx arcus-agent-gateway
```
Standard config for Claude Desktop / Cursor (`claude_desktop_config.json` / `.cursor/mcp.json`):
```json
{
"mcpServers": {
"arcus": {
"command": "uvx",
"args": ["arcus-agent-gateway"]
}
}
}
```
<details>
<summary><b>Codex</b> (~/.codex/config.toml)</summary>
```toml
[mcp_servers.arcus]
command = "uvx"
args = ["arcus-agent-gateway"]
```
</details>
<details>
<summary><b>ZCode</b> — register the server and copy the agent skill (copy-paste)</summary>
```bash
# 1) start the gateway (keep it running)
uvx arcus-agent-gateway --http --port 8902 &
# 2) register it (merges into ~/.zcode/cli/config.json; workspace .zcode/config.json works too)
python3 - <<'PY'
import json, os
p = os.path.expanduser("~/.zcode/cli/config.json")
os.makedirs(os.path.dirname(p), exist_ok=True)
cfg = json.load(open(p)) if os.path.exists(p) else {}
cfg.setdefault("mcp", {}).setdefault("servers", {})["arcus"] = {
"type": "http", "url": "http://127.0.0.1:8902/mcp"}
json.dump(cfg, open(p, "w"), indent=2)
print("arcus MCP server registered:", p)
PY
# 3) copy the agent skill (tool guide + watchlist cron recipe)
git clone -q --depth 1 https://github.com/alekskram/arcus-agent-gateway /tmp/aag
cp -r /tmp/aag/.agents/skills/arcus-gateway ~/.zcode/skills/ && rm -rf /tmp/aag
echo "ZCode setup done — restart your session and call any arcus tool"
```
</details>
Hosted form — streamable HTTP on port **8902**:
```bash
uvx arcus-agent-gateway --http # 127.0.0.1:8902
curl http://127.0.0.1:8902/health # -> {"ok": true, "service": "arcus-agent-gateway"}
```
## Tools
All 13 tools are read-only (annotated `readOnlyHint: true`). Names and
parameters are exactly as registered by `arcus_mcp/server.py`.
| # | Tool | Signature | What it does |
|---|------|-----------|--------------|
| 1 | `token_list` | `token_list(status="ACTIVE", limit=100)` | Tokenized equities, one row per token (symbol, name, status, multiplier, tradable); `status` filters the `ASSET_STATUS_*` prefix, `'ALL'` disables. Start here for valid symbols. |
| 2 | `quote` | `quote(symbol)` | Live quote joined with asset metadata: raw + multiplier-adjusted bid/ask/spread, `is_halted`, trading capabilities, multiplier block. Unknown symbol raises with a pointer to `token_list()`. |
| 3 | `quotes` | `quotes(symbols)` | Batch of `quote()` rows, **max 20 per call** (more raises). Unknown symbols land in `errors` without failing the batch. Requests run in parallel (semaphore 8) — 10 cold symbols ≈ 0.6–1 s instead of ~3 s. |
| 4 | `token_detail` | `token_detail(symbol)` | Full dossier: contract/chain/ISIN metadata, embedded quote, last 5 corporate actions, multiplier block with history note, `warnings` (pending split). |
| 5 | `market_status` | `market_status()` | Market-wide health from assets only (never fetches 194 prices): totals, untradable count, cached-halted list, extended-hours estimate. |
| 6 | `corporate_actions` | `corporate_actions(symbol=None, limit=10)` | Splits/dividends across all tokens or for one symbol; tolerant to the API's field-name variants. |
| 7 | `search` | `search(query, limit=10)` | Local fuzzy search over the token list; `apple` → `AAPL`; top `limit` (cap 50) with scores and sectors. |
| 8 | `sector_view` | `sector_view(warm=False, sector=None)` | 13-sector static map with sizes and multiplier-adjusted sector averages. Default (`warm=False`): caches only, zero requests, `warmed: false`. `warm=True, sector="..."`: fans out fresh quotes for that sector only and reports `requests_made`. |
| 9 | `onchain_info` | `onchain_info(symbol)` | On-chain footprint joined from three independent sources (each fails to a `warnings[]` entry, never silently): contract address, chain id (4663, Robinhood Chain), network, decimals, ISIN (REST) + `total_supply` via `totalSupply()` eth_call (source `rpc`) + `holders_count`, `circulating_market_cap` (source `explorer`). `supply_crosscheck` compares the REST-implied cap (`total_supply × multiplier × mid`) with the explorer's; >1% divergence → warning. Per-field `source` tags on every derived value. |
| 10 | `price_history` | `price_history(symbol, timeframe="daily", limit=90)` | OHLCV history from the optional recorder's local parquet store (see below). Honest degradation: missing pyarrow or data → actionable `error` dict, never a silent empty list. |
| 11 | `holder_snapshot` | `holder_snapshot(symbol, limit=20)` | Top holders of a token's contract from the Blockscout explorer (one page, max 50 rows, 600 s cache). Rows: `address`, `value` (float token units), `share_pct` = value / total_supply × 100, `is_contract`. `total_supply` from the RPC with an explorer fallback (source-tagged); no supply at all → `share_pct: null` + warning. Errors → `error` dict with `kind` + `hint`. |
| 12 | `wallet_holdings` | `wallet_holdings(address)` | Which of the 194 tokenized equities a wallet holds (explorer `token-balances` ∩ `assets()` universe). Rows: `symbol`, `name`, `value` (float token units). `est_position_usd` / `portfolio_usd_total` computed ONLY from quotes already in the price cache (no fan-out); missing/stale quotes → `null` estimates + explanatory note. Cached 120 s. |
| 13 | `transfer_history` | `transfer_history(symbol, limit=25, min_value=None)` | Recent ERC-20 `Transfer` events from the public RPC's adaptive walk-back (windows start 48 blocks wide, shrink 48→32→16→8 on archive 403s, ≤14 getLogs requests — see [On-chain sources & limits](#on-chain-sources--limits)). Rows (newest first): `ts` (ISO, from the log's own `blockTimestamp`), `from`, `to`, `value` (float), `tx_hash`, `block`. `min_value` filters in token units; window exhausted with 0 logs → explicit note pointing at the explorer. Cached 60 s. |
| — | *watchlist* | — | Not a tool. Price tracking is done by your agent's scheduler (cron) calling `quotes()` on an interval — see [`.agents/skills/arcus-gateway/SKILL.md`](.agents/skills/arcus-gateway/SKILL.md). |
## Multiplier logic (read this before using prices)
Robinhood Chain tokens carry a **multiplier** — the corporate-action
adjustment factor for the token contract (`1.0` = untouched). Splits change it;
for example NVDA's 2026-11 split queues `pendingMultiplier: "4.0"`.
- **The REST API returns RAW prices.** `bid`/`ask` from `/prices/{symbol}` are
in token-contract units and are **not** multiplier-adjusted.
- **Adjusted values are computed by this server**, never taken from upstream:
`price_adjusted = round(price_raw × currentMultiplier, 6)`.
- **Raw and adjusted always travel together.** Every quote carries
`bid_raw`/`ask_raw`/`spread_raw` *and* `bid_adjusted`/`ask_adjusted`/
`mid_adjusted` next to the `multiplier` block — never one without the other.
- On-chain quantities (token balances, mint/burn volumes) are natively in
adjusted (multiplied) units; REST prices are not. If you compare the two,
go through the `*_adjusted` fields.
Worked example (live fixture, 2026-09-03):
```
AAPL currentMultiplier = 1.000566080061092436
bid_raw = 327.77 → bid_adjusted = round(327.77 × 1.000566…, 6) = 327.955544
ask_raw = 327.78 → ask_adjusted = 327.965550
mid mid_adjusted = 327.960547
```
**Pending split warning.** When `pendingMultiplier` is queued (non-empty) and
differs from the current one, `token_detail()` adds a warning like
`pending split: 1→4.0 on 2026-11-06T00:00:00Z`, and `quote()`'s multiplier
block exposes `pending` + `effective_time`. After the split lands, raw prices
jump by the ratio while `*_adjusted` fields stay comparable — another reason to
always read adjusted values next to the multiplier.
## Why a gateway and not the raw API?
`api.robinhood.com/rhj` + the public RPC are open — and every agent hitting them directly rediscovers the same What people ask about arcus-agent-gateway
What is alekskram/arcus-agent-gateway?
+
alekskram/arcus-agent-gateway is mcp servers for the Claude AI ecosystem. MCP gateway for AI agents to Robinhood Chain (Arcus DEX) tokenized US equities: quotes, multipliers, corporate actions, sectors. Read-only, keyless. It has 1 GitHub stars and its last recorded update is dated 2026-09-22.
How do I install arcus-agent-gateway?
+
You can install arcus-agent-gateway by cloning the repository (https://github.com/alekskram/arcus-agent-gateway) or following the README instructions on GitHub. ClaudeWave also provides quick install blocks on this page.
Is alekskram/arcus-agent-gateway safe to use?
+
Our security agent has analyzed alekskram/arcus-agent-gateway and assigned a Trust Score of 95/100 (tier: Verified). See the full breakdown of passed checks and flags on this page.
Who maintains alekskram/arcus-agent-gateway?
+
alekskram/arcus-agent-gateway is maintained by alekskram. The last recorded GitHub activity is dated 2026-09-22, with 0 open issues.
Are there alternatives to arcus-agent-gateway?
+
Yes. On ClaudeWave you can browse similar mcp servers at /categories/mcp, sorted by popularity or recent activity.
Deploy arcus-agent-gateway to your cloud
Ship this repo to production in minutes. Each platform spins up its own environment with editable env vars.
Maintain this repo? Add a badge to your README
Drop the badge into your GitHub README to show it's tracked on ClaudeWave. Each badge links back to this page and reflects the live Trust Score.
[](https://claudewave.com/repo/alekskram-arcus-agent-gateway)<a href="https://claudewave.com/repo/alekskram-arcus-agent-gateway"><img src="https://claudewave.com/api/badge/alekskram-arcus-agent-gateway" alt="Featured on ClaudeWave: alekskram/arcus-agent-gateway" width="320" height="64" /></a>More MCP Servers
Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
An open-source AI agent that brings the power of Gemini directly into your terminal.
Real-time global intelligence dashboard. AI-powered news aggregation, geopolitical monitoring, and infrastructure tracking in a unified situational awareness interface
🕷️ An adaptive Web Scraping framework that handles everything from a single request to a full-scale crawl! Don't be shy, join here: https://discord.gg/EMgGbDceNQ and follow here for daily tips and tricks: https://x.com/Scrapling_dev
The fastest path to AI-powered full stack observability, even for lean teams.