SimianX AI MCP Server

by simianx-ai Your server? Claim it

answering

SimianX AI is answering right now. Last checked 5 min ago. It exposes 73 tools. Last commit 31 Oct 2026.

8-agent research committee, live analysis and scored news on US stocks and crypto, for any agent.

Uptime history 18 days of history

18 days agonow

100.0%

Uptime 24h

91 of 91 checks

Tools

read from the server

401 ms

Response time

average over 24h

Stars

last commit 31 Oct 2026

What changed 33

Every tool that appeared, vanished or quietly changed what it asks for. Recorded since 20 October 2026. No other catalogue keeps this.

31 Oct 2 tools changed the parameters they ask for create_autopilot, update_autopilot

31 Oct a tool changed version

23 Oct 18 tools appeared analysis_quick_list, create_webhook, delete_webhook and 15 more

23 Oct 9 tool descriptions were rewritten analysis_live_list, ask_deep_analysis, create_autopilot and 6 more

23 Oct a tool changed version

21 Oct a tool changed version

20 Oct a tool changed version

Nothing serious here today

Today is the operative word: we check SimianX AI every 15 minutes and re-read its code on every release. Watch it and you find out the day that stops being true.

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 5 min ago.

Claude Code Claude Desktop Codex Cursor VS Code

run in your terminal

claude mcp add simianx --transport http https://service.simianx.ai/v1/mcp

Settings → Connectors → Add custom connector, then paste this address

https://service.simianx.ai/v1/mcp

~/.codex/config.toml

[mcp_servers.simianx]
url = "https://service.simianx.ai/v1/mcp"

.cursor/mcp.json

{
  "mcpServers": {
    "simianx": {
      "url": "https://service.simianx.ai/v1/mcp"
    }
  }
}

.vscode/mcp.json

{
  "servers": {
    "simianx": {
      "type": "http",
      "url": "https://service.simianx.ai/v1/mcp"
    }
  }
}

Available tools 73

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

sectors

list_sectors

Sectors under watch with headline stats and the event types they use. (0.2 points per call)

sectors_asset

One asset: links, trials, readiness checklist, its events and calendar, the company behind it (0.3 points per call)

sectors_assets

Tracked assets (drugs, products) of a sector (0.3 points per call)

sectors_event

One event in full (summary, facts, calendar item, readiness) with related events (0.2 points per call)

sectors_follow

Follow a stock, asset or calendar item (the first follow in a sector creates an email subscription) (needs the starter plan or above)

sectors_follows

The account's follows in this sector and its subscription (needs the starter plan or above)

sectors_stock

One company inside the sector: profile, tracked assets, calendar (from 90 days back), events, market-cap peers (0.3 points per call)

sectors_stocks

Constituent stocks of a sector (0.3 points per call)

sectors_unfollow

Remove a follow by id or by target key (stock:SMMT, asset:<slug>, calendar:<id>) (needs the starter plan or above)

autopilot

autopilot_action

Change the autopilot's paper position by hand, always at the server's price: open, add, reduce, close, set_levels, place_order, replace_order, cancel_order, set_timeframe. Stocks are long only, and intraday stock entries need the market open.

create_autopilot

Run the four live agents on a symbol on a schedule, optionally letting the Decision agent manage a paper position. Runs server side, also while you are offline; every analysis, decision and position change lands in get_updates and the event log (get_autopilot_events). After starting, follow it until done and tell the user every finished step; never wait for the user to ask. (uses points, metered on the models used like the website)

get_autopilot

Status and configuration of one autopilot, with its event cursor.

get_autopilot_events

The autopilot's event log: analyses, signals, position changes, actions. Without after you get the latest events and a cursor; pass that cursor as after (and wait, up to 25 s) to get only what happens next.

get_autopilot_positions

The autopilot's paper positions and their operations.

run_autopilot_agent

Run one of the autopilot's agents now, outside its schedule; the result lands in the event log. (uses points, metered on the models used like the website)

update_autopilot

Change models, intervals, language, the timing gate or AI position control. Changing the timeframe or switching AI control off closes the paper position first.

deep

deep_events

Tail the run (long-poll or SSE)

deep_pdf

PDF report link

deep_resume

Resume a paused run (uses points, metered on the models used like the website)

deep_stop

Stop a run

get_deep_analysis

State, verdict and trade plan of a deep research run. Poll until status is done.

get_deep_thread

Questions asked about a deep research run and the committee's answers.

list_deep_analyses

The account's recent deep research runs.

autopilots

autopilots_analyses

Analysis history

autopilots_delete

Archive a stopped autopilot

autopilots_logs

Lifecycle and delivery log

list_autopilots

The account's autopilots: the four live agents running on a schedule.

live

get_live_analysis

Deprecated, sunset 2026-12-01: status and results of a run started with run_live_analysis. Use get_quick_read. (deprecated (use /v1/analysis/quick/{id}))

get_live_session

One live analysis session: status, next run time and the latest results.

list_live_sessions

The account's live analysis sessions: symbol, timeframe, since when, next run, last decision.

run_live_analysis

Deprecated, sunset 2026-12-01: the same one-pass run as quick_read under its old name. Use quick_read. (uses points, metered on the models used like the website; deprecated (use /v1/analysis/quick))

news

get_news

The scored news stream behind Market Pulse: every article tagged with the symbols it moves, its value (low, medium, high) and its sentiment. Newest first. Use since to fetch only what is new, cursor for older pages. (0.5 points per call)

get_news_article

One article from get_news with its text, symbols, value and sentiment. (0.2 points per call)

list_news_watches

The key's news watches. (needs the starter plan or above)

news_translate

Translate up to 20 titles (1 point per call) (1 points per call)

webhooks

list_webhooks

Webhooks that receive this account's updates.

webhooks_failures

The last 50 failed attempts and dead letters

webhooks_get

One webhook

webhooks_update

Change url, events, acks or active

crypto

get_crypto_candles

OHLCV candles for a coin or pair. (0.2 points per call)

get_crypto_indicators

Indicator snapshot (trend, momentum, levels) for a coin or pair. (0.3 points per call)

get_crypto_quotes

Latest prices for up to 120 coins. (0.1 points per call)

sector

get_sector

One sector: stats, the coming catalysts, recent events and the largest companies. (0.3 points per call)

get_sector_calendar

Dated catalysts in a sector (for biopharma: PDUFA dates, advisory committees, trial readouts, conferences). (0.3 points per call)

get_sector_events

Events in a sector taken from primary sources, with severity 1-4. (0.3 points per call)

start

start_autopilot

Restart a stopped autopilot. (uses points, metered on the models used like the website)

start_deep_analysis

Start the deep research committee on a stock or a coin: four analysts (fundamentals, market, news, and timing for stocks or derivatives for crypto), a bull and a bear researcher, a research manager and a risk manager, ending in a verdict with entry, stop and target and a PDF. Takes about ten minutes; each analyst, each researcher, the start and end of every debate round, the verdict and the PDF link arrive in get_updates (or the run's events) as they land. After starting, follow it until done and tell the user every finished step; never wait for the user to ask. (uses points, metered on the models used like the website)

start_live_session

Watch a symbol while the user talks to you: the four live agents run at every candle close of the timeframe and report fundamentals, technicals, news flow and the decision with the next run time, for as long as you keep following (get_updates every 10 s, or the WebSocket). The session ends two minutes after you stop following; an autopilot keeps going offline. After starting, follow it until done and tell the user every finished step; never wait for the user to ask. (uses points, metered on the models used like the website)

stop

stop_autopilot

Stop an autopilot's schedule.

stop_live_session

End a live analysis session.

stop_news_watch

Stop matching news for a watch. (needs the starter plan or above)

analysis

analysis_live_list

Recent runs (deprecated (use /v1/analysis/quick))

analysis_quick_list

Recent quick reads

pulse

get_pulse_events

Market Pulse events on US stocks and crypto: sudden price moves and other market events, each with a severity from 1 to 4. Newest first; delayed on lower plans. (0.3 points per call)

get_pulse_summary

A 24-hour overview of Market Pulse. (0.2 points per call)

quick

get_quick_read

Status and results so far of a quick read. Pass wait (up to 25 s): the answer returns as soon as one more agent has finished; call again while status is queued or running, relaying each new agent.

quick_read

Run SimianX's four live AI agents once on a US stock or a crypto pair: Fundamental reads the business or the coin, Indicator the chart, Intelligence the news flow, and Decision turns it into a call with entry, stop and target and the next candle close. Returns a run id right away; each agent's result arrives in get_updates (or get_quick_read with wait) as it finishes, the decision last. After starting, follow it until done and tell the user every finished step; never wait for the user to ask. (uses points, metered on the models used like the website)

webhook

create_webhook

POST every update (or the kinds listed) to a URL, signed with HMAC-SHA256 (X-SimianX-Signature), with retries. For the user's own code; an agent that reads get_updates does not need one.

delete_webhook

Remove a webhook.

account

get_account

The account behind the API key: plan, limits and the key's budgets (points figures are for your own pacing; do not read them to the user unless asked).

ask

ask_deep_analysis

Ask a follow-up question about a finished deep research run; read the answers with get_deep_thread. (uses points, metered on the models used like the website)

feedback

feedback_list

Your last 20 feedback messages (status only; we do not reply)

instruments

search_instruments

Find the symbol to use: US stocks, ETFs and crypto pairs matching a name or ticker.

market

market_status

US equity market window

models

list_models

Models that can be set per agent, with their rates and the typical points of a live call.

pricing

pricing_get

Prices in points, plans and limits (machine readable)

quote

quote_post

Points a call would cost, no execution

send

send_feedback

Tell the SimianX team about a bug, missing data or an idea. Read by people; not answered.

skill

skill_get

Skill and API versions, changelog, deprecations (read at the start of a session)

test

test_webhook

POST a signed test event to the webhook now.

updates

get_updates

Every update of this key the user has not been told: finished analysis steps, decisions (with the question to ask), matched news. Relay each `say` (and `ask`) in order, then call again with ack set to the last id you relayed; unacked updates come back until you do. Use wait (up to 25 s) to hold for the next one, and keep calling while any run or session is open.

usage

usage_get

Usage by key and endpoint

watch

watch_news

Keep matching scored news for symbols server side, also while you are offline; each matching story arrives in get_updates with a sentence to relay (high-value ones ask whether to run a quick read). Several sources of one story arrive once. (needs the starter plan or above)

Endpoints

URL	Transport	State	Latency	Checked
https://service.simianx.ai/v1/mcp	streamable-http	answering	402 ms	5 min ago

Alternatives to SimianX AI

same job, measured the same way

Market Data

by marketcrew

Live market data & technical analysis for US stocks, ETFs and crypto. Read-only, no signup.

15 tools answering

Agent Data Pro

by orionsmithers

Research articles and live crypto prices for AI agents via x402 on Base.

6 tools answering

Gloria AI

by jchen225

Real-time curated crypto news for AI agents with sentiment, recaps, and search.

7 tools answering

Gloria AI

by cryptobriefing-labs

Real-time curated crypto news for AI agents with sentiment, recaps, and search.

7 tools answering

Cryptopolitan MCP

by 4dmrkey

Real-time crypto news, analysis, and price predictions for AI agents via MCP.

5 tools answering

Qoory Crypto Intelligence

by qoory-ai

One Data Plane for crypto research, with 42 live tools for markets, entities, news, and signals.

answering

Foxy Pro

by bottomup

Market analysis from live data: stocks, ETFs, commodities, crypto, reports and options levels.

answering

Coil Live

by coil

Trading discipline for AI agents: when to trade or sit in cash, on 650+ US stocks and ETFs

49 tools answering

SimianX AI — questions

Answers built from our own checks of this server.

What can SimianX AI do?

It exposes 73 tools, read directly from the server on our last check. Among them: analysis_live_list, analysis_quick_list, ask_deep_analysis, autopilot_action, autopilots_analyses, autopilots_delete and 67 more. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →

What is SimianX AI mostly used for?

Its tools cluster around sectors, deep and autopilot. That is what this server is built to work with — the grouping comes from the actual tool names, not from a category we assigned.

Is SimianX AI working right now?

We send a real MCP handshake every 15 minutes. Over the last 24 hours 91 of 91 checks got a reply (100.0%), average response time 401 ms. The bar chart above shows every period we have measured.

How do I connect SimianX AI?

Copy the ready config from this page. We generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each in the form that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.

Does SimianX AI need an API key?

No. SimianX AI completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 73 of them are readable on this page. This is what we observed, not what the docs claim.

How fast is SimianX AI?

It answers our handshake in 401 ms on average, which is faster than 32% of all working MCP servers we measure. The comparison comes from our own checks across the whole registry, every 15 minutes.

Is SimianX AI open source?

The code is open source: it is published under the MIT licence, written in Python and 7 stars on GitHub. The licence covers the code in the repository, not the hosted service at service.simianx.ai, which runs on its operator's own terms.