Index / MCP servers / Backtest360

Backtest360 MCP server

Connect Backtest360 and your agent gets 20 tools, among them compare_backtests, compute_stats, engine_info. It answers at https://mcp.backtest360.com/mcp over streamable HTTP, and it listed its tools to an anonymous client, so no sign-in was needed for that. Our probes reached it 10 of 10 times since 4 September 2026; the last check, on 18 October 2026, succeeded.

Status
Answering
Tools
20
Official
yes, served from backtest360.com
Reliability
10 of 10 checks
Response time
148 ms
Transport
streamable HTTP
Last checked
18 October 2026

MCP server exposing the Backtest360 engine API as tools for AI agents.

Description as the publisher wrote it.

The 20 tools Backtest360 offers

ToolWhat it does
compare_backtestsRun several strategies on the same data and compare side by side. One quota-counted call, but compute scales with the number of strategies. If the wall-clock compute budget is exceeded, the call fails with a tool error (504) instead of retu
Inputs: data_source, strategies, include_benchmark, response_detail, trades_limit
compute_statsCompute the engine's performance metrics from a returns series. Use when the returns came from somewhere other than run_backtest (an external system, a portfolio) — backtest results already include these statistics. Args: returns: Per-bar l
Inputs: returns, trading_days_per_year, benchmark_returns, trades, risk_free_rate
engine_infoEngine version, API contract number, and health. Free (not quota-counted). Call once at the start of a session to confirm the engine is reachable and which contract it serves.
export_backtestExport a multi-strategy comparison as an Excel workbook. Quota-counted; needs a key whose plan includes full-metrics export (a 403 means the configured key's plan does not — do not retry). Returns the workbook base64-encoded — decode and wr
Inputs: data_source, strategies, include_benchmark
get_catalogFetch one engine reference catalog. Catalogs (cheap, cacheable per session): - 'operators' — comparison operators for condition expressions - 'execution-modes' — entry/exit anchors and fill algorithms, with the validity matrix by market typ
Inputs: catalog
get_data_rangeAvailable date range and estimated bar count for a symbol/frequency. Available on paid plans. Call before a server-side fetch so the requested start/end stay inside what the provider can deliver and the bar count stays inside the key's per-
Inputs: symbol, frequency
get_latest_signalEvaluate the strategy on the most recent bar only — no P&L, no stats. Returns the latest signal (-1/0/1), which condition slots fired, and the bar timestamp. Use for "what would this strategy do right now" questions; use run_backtest for pe
Inputs: data_source, strategy, execution, data_inputs
get_macro_seriesObservations for one macroeconomic series over an optional date range. Free — no special plan. ``series`` is an ``id`` from list_macro_series (e.g. treasury_10y, cpi, unemployment_rate); arbitrary external ids are not accepted. ``start``/``
Inputs: series, start, end
get_meThe configured API key's permissions, limits, and current usage. Cheap. Call early in a session — before planning work — to learn what this key can do instead of discovering limits through failed calls. Returns: ``scopes``: the permission s
get_price_historyOHLCV price history for a symbol over a date range. Requires a paid plan (managed market data). ``start`` is required (``YYYY-MM-DD``); ``end`` defaults to today. Returns a summary (symbol, resolved date range, total bar count, price range,
Inputs: symbol, start, frequency, end
get_quoteLatest available price for a symbol. Requires a paid plan (managed market data). Returns the most recent *available* bar for the given frequency — the end-of-day close for daily, the last completed bar otherwise — as open/high/low/close/vol
Inputs: symbol, frequency
get_strategy_schemaJSON Schema for the strategy document (condition_tree + indicators). Fetch this before composing a strategy by hand; the validate_strategy tool checks against the same rules.
get_ticker_infoIdentity and data coverage for one symbol, in a single call. Metadata only — no market data, so no paid plan is needed. Returns the asset's identity (name, asset class, exchange, currency, and whether it is still active) together with a cov
Inputs: symbol, frequency
list_indicatorsList indicators, or fetch one indicator's full schema. Cheap, cacheable per session. With no arguments: a compact catalog — ``{"indicators": [...], "count": N}`` — where each entry carries id, name, category, kind, and value_dtype (no descr
Inputs: name, compact
list_macro_seriesList the available macroeconomic series (the catalog). Free — no special plan. Returns the set of macro series you can fetch with get_macro_series, each with its stable ``id`` (the value get_macro_series takes), title, category, native repo
Inputs: category
list_templatesList predesigned strategy templates, or fetch one in full. Cheap, cacheable per session. The engine returns the templates available to the calling key. With no arguments: a compact catalog — ``{"templates": [...], "count": N}`` — where each
Inputs: name, compact
list_tickersList available tickers, optionally filtered by asset class. The full universe is very large, so the MCP server caps the returned list and marks it ``truncated_by_mcp`` — pass asset_class to narrow it, or use search_tickers to resolve a spec
Inputs: asset_class
run_backtestRun a historical backtest against the engine. Quota-counted and compute-bound. Validate the strategy first (validate_strategy is far cheaper). On a 504 compute timeout, do NOT retry the same request — reduce the date range, use a coarser fr
Inputs: data_source, strategy, signals, execution, benchmark, data_inputs
search_tickersSearch available assets by ticker or name (relevance-ranked). Use to resolve a user's asset mention ("bitcoin", "S&P") to the exact ticker before requesting a server-side data fetch. asset_class filters to 'stocks', 'crypto', 'forex', or 'i
Inputs: query, asset_class, limit
validate_strategyValidate a strategy document without running a backtest. A cheap quota separate from backtest runs, so validate freely and ALWAYS before run_backtest. Args: strategy: The strategy document — name, indicators[], and condition_tree (see get_s
Inputs: strategy, injected_indicators

Add Backtest360 to your AI client

Every block below points at https://mcp.backtest360.com/mcp. Pick your client and copy.

Claude Code: one command in your terminal
claude mcp add --transport http backtest360 https://mcp.backtest360.com/mcp
Claude Desktop: claude_desktop_config.json
{
  "mcpServers": {
    "backtest360": {
      "command": "npx",
      "args": ["-y", "mcp-remote", "https://mcp.backtest360.com/mcp"]
    }
  }
}
Cursor: ~/.cursor/mcp.json, or .cursor/mcp.json in a project
{
  "mcpServers": {
    "backtest360": {
      "url": "https://mcp.backtest360.com/mcp"
    }
  }
}
VS Code and GitHub Copilot: .vscode/mcp.json
{
  "servers": {
    "backtest360": {
      "type": "http",
      "url": "https://mcp.backtest360.com/mcp"
    }
  }
}
Zed: Zed settings.json
{
  "context_servers": {
    "backtest360": {
      "url": "https://mcp.backtest360.com/mcp"
    }
  }
}
Windsurf: ~/.codeium/mcp_config.json
{
  "mcpServers": {
    "backtest360": {
      "serverUrl": "https://mcp.backtest360.com/mcp"
    }
  }
}
JetBrains AI Assistant: Settings, Tools, AI Assistant, MCP, New MCP Server, as JSON
{
  "mcpServers": {
    "backtest360": {
      "url": "https://mcp.backtest360.com/mcp"
    }
  }
}
Continue: .continue/mcpServers/neuronto.yaml
name: Backtest360
version: 0.0.1
schema: v1
mcpServers:
  - name: Backtest360
    type: streamable-http
    url: https://mcp.backtest360.com/mcp
Gemini CLI: ~/.gemini/settings.json
{
  "mcpServers": {
    "backtest360": {
      "httpUrl": "https://mcp.backtest360.com/mcp"
    }
  }
}
Codex CLI: MCP server config
{
  "mcpServers": {
    "backtest360": {
      "type": "http",
      "url": "https://mcp.backtest360.com/mcp"
    }
  }
}
Warp: MCP servers, + Add, paste JSON
{
  "mcpServers": {
    "backtest360": {
      "url": "https://mcp.backtest360.com/mcp"
    }
  }
}
Goose: a one-click extension link
goose://extension?url=https%3A%2F%2Fmcp.backtest360.com%2Fmcp&type=streamable_http&id=backtest360&name=Backtest360

Is Backtest360 up right now?

It answered our last check on 18 October 2026 in 148 ms. Over 10 checks since 4 September 2026 it answered 10. Status here comes from Neuronto's own probes, not from the publisher.

MCP servers similar to Backtest360

Questions about Backtest360

Is there an official Backtest360 MCP server?

Yes. It is published by backtest360.com and served from mcp.backtest360.com, the vendor's own domain: https://mcp.backtest360.com/mcp.

How many tools does Backtest360 have?

20, as returned by the server's own tools/list on 10 September 2026: compare_backtests, compute_stats, engine_info, export_backtest, get_catalog, get_data_range, get_latest_signal, get_macro_series, and 12 more.

Is Backtest360 down?

It answered our last check on 18 October 2026 in 148 ms. Over 10 checks since 4 September 2026 it answered 10.

How do I add Backtest360 to Cursor?

Put the server under mcpServers in ~/.cursor/mcp.json with the URL https://mcp.backtest360.com/mcp. The exact JSON is above, with the same setup for Claude Code, Claude Desktop, VS Code, Windsurf, Zed, Gemini CLI and the rest.

Does Backtest360 need an API key?

It listed its tools to an anonymous client, so reading the tool list needs no key. Individual tools can still ask for credentials in their own inputs.

Where this comes from

Publisher: com.backtest360. Endpoint host: mcp.backtest360.com. ARD identifier: urn:air:com.backtest360:mcp:backtest360. First indexed 31 August 2026. The tools are exactly what the server returned; nothing on this page is inferred from its name. Ranking in Neuronto search is never for sale.

Is this your server? Get a message the day it stops answering or its tools change: monitoring, 14 days free. Or claim the domain to manage how it is listed.