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  3. Arcus Agent Gateway
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Arcus Agent Gateway

User RatingsBe the first to rate and review this MCP server! Enrichment pendingWe haven’t run our AI enrichment pass on this listing yet, so the overview, use cases, and FAQ below may be sparse or missing. We work through the catalog over time β€” check back soon.
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Read-only MCP gateway to 194 tokenized US equities on Robinhood Chain: quotes, holders, whales.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

One-click editor setup isn’t available for this listing yet β€” we don’t have a confirmed install command, and we’d rather show nothing than point your editor at the wrong package or host. Follow the project’s own setup instructions, linked above.

Manual Client & Custom JSON ConfigExpand JSON β–Ύ
No confirmed setup config for this listing yet. We only publish a config block when the install details come from the project itself β€” its README, its docs, or a verified owner. We haven’t found those for Arcus Agent Gateway, and we’d rather show nothing than a guess you’d paste into your client. Follow the project’s own setup instructions for the current steps.
Install Directory Badge Claim listing AlternativesπŸ’» More in Developer Tools

Documentation Overview

arcus-agent-gateway

CI PyPI PyPI downloads MCP Catalog License: MIT Python 3.11+

Robinhood Chain (Arcus) carries 194 tokenized US equities on-chain, and its public API answers questions most people don't think to ask: who actually holds AAPL, what a wallet's stock portfolio looks like, which way the whales moved NVDA today. This MCP server hands all of that to an AI agent. Read-only, keyless, no writes; every tool is a GET against api.robinhood.com/rhj plus two public on-chain sources, cached and rate-limited so an enthusiastic agent can't hammer the upstream.

Use cases

Ask it who holds AAPL and you get the top holder addresses with their share of total supply, flagged contract or wallet. One holder contract turns out to sit on 35% of NVDA; that is the kind of concentration risk a quote page will never show you.

wallet_holdings reads any address across all 194 equities and values the positions it has fresh quotes for. transfer_history walks recent ERC-20 Transfers with a min_value filter, which is how you catch the large prints instead of the dust.

Prices are the trap here, so they ship split-safe: raw and multiplier-adjusted values travel together on every quote, and a pending split (NVDA queues a 4.0 multiplier for 2026-11) comes with a warning and the effective time. A morning scan of market health, halted tokens and 13-sector averages costs two cheap calls.

Full walkthroughs with real outputs: examples/use-cases.md.

Quickstart

Claude Code:

Terminal
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):

config.json
{
  "mcpServers": {
    "arcus": {
      "command": "uvx",
      "args": ["arcus-agent-gateway"]
    }
  }
}
Codex (~/.codex/config.toml)
toml
[mcp_servers.arcus]
command = "uvx"
args = ["arcus-agent-gateway"]
ZCode: register the server and copy the agent skill
server.ts
# 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"

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.

#ToolSignatureWhat it does
1token_listtoken_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.
2quotequote(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().
3quotesquotes(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 take 0.6-1 s instead of ~3 s.
4token_detailtoken_detail(symbol)Full dossier: contract/chain/ISIN metadata, embedded quote, last 5 corporate actions, multiplier block with history note, warnings (pending split).
5market_statusmarket_status()Market-wide health from assets only (never fetches 194 prices): totals, untradable count, cached-halted list, extended-hours estimate.
6corporate_actionscorporate_actions(symbol=None, limit=10)Splits/dividends across all tokens or for one symbol; tolerant to the API's field-name variants.
7searchsearch(query, limit=10)Local fuzzy search over the token list; apple β†’ AAPL; top limit (cap 50) with scores and sectors.
8sector_viewsector_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.
9onchain_infoonchain_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 Γ— multiplier Γ— mid) with the explorer's; >1% divergence β†’ warning. Per-field source tags on every derived value.
10price_historyprice_history(symbol, timeframe="daily", limit=90)OHLCV history from the optional recorder's local parquet store (see below). Honest degradation: missing pyarrow or data β†’ actionable error dict, never a silent empty list.
11holder_snapshotholder_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 Γ— 100, is_contract. total_supply from the RPC with an explorer fallback (source-tagged); no supply at all β†’ share_pct: null + warning. Errors β†’ error dict with kind + hint.
12wallet_holdingswallet_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 β†’ null estimates + explanatory note. Cached 120 s.
13transfer_historytransfer_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 48β†’32β†’16β†’8 on archive 403s, ≀14 getLogs requests β€” (see 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 β†’ explicit note pointing at the explorer. Cached 60 s.
β€”watchlistβ€”Not a tool. Price tracking is done by your agent's scheduler (cron) calling quotes() on an interval β€” (see .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 Γ— 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):

Code
AAPL   currentMultiplier = 1.000566080061092436
       bid_raw   = 327.77   β†’  bid_adjusted = round(327.77 Γ— 1.000566…, 6) = 327.955544
       ask_raw   = 327.78   β†’  ask_adjusted = 327.965550
       mid                      mid_adjusted = 327.960547

Read the full README β†’View source on GitHub β†’

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Frequently Asked Questions about Arcus Agent Gateway

We don't have a confirmed install command for Arcus Agent Gateway yet, so we don't publish a generated one β€” a guessed package name would point at the wrong package or none at all. Follow the project's own README or setup instructions (https://github.com/alekskram/arcus-agent-gateway) for the current steps.

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Technical Specs & Signals

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Last updatedSep 28, 2026
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27Quality signal: Emerging Β· 27/100How this signal is calculated β–Ύ
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Verified ownership8/20
Documentation & tools11/30
Adoption & activity1/15
Community engagement0/10

A guidance signal from public completeness & health data β€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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