MCP server

EmidLabs Backtest Official

io.github.emidlabs/backtest-mcp

Checked 25 Oct 2026, 20:29 UTC · Connected to it and listed its tools

Run crypto trading strategy backtests through EmidLabs's Backtesting API.

Website Source

At a glance

Type

MCP server

Publisher

emidlabs.com (verified by the MCP Registry)

Status

Working at last check

Tools

9

Token cost

About 9,613 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

25 Oct 2026, 20:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http backtest-mcp https://mcp.backtest.emidlabs.com/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.backtest-mcp]
url = "https://mcp.backtest.emidlabs.com/mcp"

Gemini CLI

{"mcpServers":{"backtest-mcp":{"httpUrl":"https://mcp.backtest.emidlabs.com/mcp"}}}

Cursor

{"mcpServers":{"backtest-mcp":{"url":"https://mcp.backtest.emidlabs.com/mcp"}}}

VS Code

{"servers":{"backtest-mcp":{"type":"http","url":"https://mcp.backtest.emidlabs.com/mcp"}}}

Antigravity

agy mcp add backtest-mcp https://mcp.backtest.emidlabs.com/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"backtest-mcp","server_url":"https://mcp.backtest.emidlabs.com/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"backtest-mcp","server_url":"https://mcp.backtest.emidlabs.com/mcp"}

Tools

• get_backtest_batch_results ~498 tokens
  Fetches every asset's outcome from a submit_backtest_batch call, paginated. By default (waitForCompletion: true) polls internally until every item in the batch is done — a cheap check, not one that pages through everything — so one call returns the finished page. Each item has the same aggregate met
• get_backtest_result ~334 tokens
  Fetches a submitted backtest by id. By default (waitForCompletion: true) polls internally until it finishes, so one call returns one final answer — no need to poll from the caller's side. Only aggregate metrics are returned here, no trade-by-trade detail — call get_backtest_trades for that (paginate
• get_backtest_trades ~376 tokens
  Fetches the closed-trade list for a completed backtest, paginated and sortable — the trade-by-trade detail get_backtest_result deliberately omits. Only closed trades ever appear; a position still open when the backtest's date range ends isn't represented here or anywhere else. Example: sortBy="exitT
• get_confirmation_source ~347 tokens
  Fetches a submitted confirmation source by id. By default (waitForCompletion: true) polls internally until it finishes, so one call returns one final answer. No trade-outcome fields here at all (no PnlR/WinRate/...) — a confirmation source never opens a position. Once Completed, its id can be used a
• get_confirmation_source_signals ~526 tokens
  Fetches a completed confirmation source's raw signal timeline, paginated — the actual data a backtest's confirmationSources requirement is checked against. Can easily run into the thousands for a frequent condition over a long range (every candle-condition match is a row, not just closed trades), wh
• list_available_assets ~240 tokens
  Lists every asset pair with real historical data, each with its supported timeframes and the date range actually available. Optional to call — submit_backtest already returns a clear error (with the real available range) when an asset or date range doesn't have data, so this is for up-front explorat
• submit_backtest ~2725 tokens
  Submits a strategy for backtesting against historical OHLCV data. Returns immediately with an id and status — call get_backtest_result to fetch the outcome once it finishes. Testing the same strategy against many assets? Use submit_backtest_batch instead — one call per asset here adds up fast. Optio
• submit_backtest_batch ~2403 tokens
  Submits ONE strategy against MANY asset pairs in a single call — the same backtest you'd get from calling submit_backtest once per asset, without needing dozens of round trips. Returns immediately with a batchId (pass it to get_backtest_batch_results to fetch every asset's outcome, paginated) plus t
• submit_confirmation_source ~2164 tokens
  Runs a strategy against historical data purely to produce a signal timeline used to confirm OTHER backtests — not a backtest itself. Walks the same candles and evaluates the same DSL as submit_backtest, but never simulates a position: no trade, no PnL, no WinRate/drawdown, none of that applies here,

Browse

• GitHub tools
• Hiring and jobs
• GitHub and code hosting
• Crypto and blockchains

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