How do I install Syl Pulse?

Syl Pulse is a remote plugin. You do not need to install anything locally. Add the server URL to your AI app's MCP configuration and you are ready to go.

Is Syl Pulse safe to use?

Yes. Syl Pulse passed MCP Marketplace's automated security scan with a score of 10/10 (low risk). Every server on MCP Marketplace is security-scanned before it's listed; see the full security report on this page for the findings and permissions.

What AI apps work with Syl Pulse?

Syl Pulse uses the Model Context Protocol (MCP) and works with any MCP-compatible AI app, including Claude, ChatGPT / Codex, Gemini, Copilot, Cursor, and more.

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Syl Pulse MCP Server

by Connor274

Developer ToolsLow Risk10.0MCP RegistryRemote

Free

Server data from the Official MCP Registry

Causal analytics: ask a business question, get a deterministic causal answer and charts.

About

Causal analytics: ask a business question, get a deterministic causal answer and charts.

Remote endpoints: streamable-http: https://pulse.sylai.io/mcp

Security Report

10.0

Low Risk10.0Low Risk

Valid MCP server (1 strong, 1 medium validity signals). No known CVEs in dependencies. Imported from the Official MCP Registry.

1 tool verified · Open access · No issues found

Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.

Permissions Found in Source Code

Found by scanning the linked source code. This listing connects to a hosted endpoint, so none of this runs on your machine: it describes what the server software does where it is hosted.

HTTP Network Access

Connects to external APIs or services over the internet.

How to Connect

Remote Plugin

No local installation needed. Your AI client connects to the remote endpoint directly.

Add this to your MCP configuration to connect:

{
  "mcpServers": {
    "io-sylai-pulse": {
      "url": "https://pulse.sylai.io/mcp"
    }
  }
}

Documentation

View on GitHub

From the project's GitHub README.

Syl Pulse MCP

Syl Pulse is causal analytics for business questions. Give your agent a dataset and a question like "Does ad spend drive sales?" and get back the full Pulse report: the adjusted causal effect with its confidence interval, a by-channel breakdown, caveats and assumptions, and charts (causal graph, effect, trend). When the question asks about sample size or test duration, it also returns a spend-cut test design.

All numbers are deterministic statistics. They are never generated by an LLM; only the report prose is AI-written, and its figures are checked against the computed numbers.

This repository holds the public listing metadata and connection instructions for the hosted Pulse MCP server. Pulse itself is a hosted service.

Endpoint: https://pulse.sylai.io/mcp (stateless streamable HTTP)
Auth: X-API-Key header on every request. It is the same key as Syl Guardian; get a trial key at https://sylai.io/guardian.
Product page: https://sylai.io/pulse
Docs: https://sylai.io/guardian/docs (MCP connector section)

Connect

Claude Code:

claude mcp add --transport http syl-pulse https://pulse.sylai.io/mcp \
  --header "X-API-Key: <your key>"

Claude Desktop (via mcp-remote):

{
  "mcpServers": {
    "syl-pulse": {
      "command": "npx",
      "args": ["-y", "mcp-remote", "https://pulse.sylai.io/mcp",
               "--header", "X-API-Key:${SYL_API_KEY}"],
      "env": { "SYL_API_KEY": "<your key>" }
    }
  }
}

Then ask your agent: "Use pulse_analyze on this data: does ad_spend drive new_customers, adjusting for seasonality? How long would a spend-cut test need to run?"

Every request needs the key, including tool listing. Each successful analysis counts against your Pulse quota or trial.

Tool: `pulse_analyze`

Estimates a causal effect from a dataset and answers a business question.

Argument	Description
`question`	Required. The business question, e.g. "Does ad spend drive sales?".
`csv` or `data`	Dataset as CSV text or a list of row objects (exactly one).
`cause`, `effect`	Optional. Treatment and outcome columns; inferred from the question if omitted.
`confounders`	Optional. Columns to adjust for, in addition to those discovered.
`outcomes`	Optional. Several outcome columns, for by-channel effects.
`time_col`	Optional. Time column, used for the test-design cadence.
`include_guardian_verdict`	Also return a `pass` / `caution` / `hold` verdict, computed locally (uses no Guardian quota).
`include_charts`	Attach chart images (default true).
`include_test_design`	Force the spend-cut test design on or off; by default it appears only when the question asks about sample size, power or test duration.

The result's first content block is the report text, followed by chart images. The structured result has the effect size with its confidence interval, per-channel effects, confidence, caveats, and the optional verdict and test design.

For a quick pass/caution/hold check on a single claim, see the sibling server Syl Guardian MCP.

Support

Questions or issues: https://sylai.io or connor@sylai.io.

License

The files in this repository (metadata and documentation) are MIT licensed; see LICENSE. The Syl Pulse service is proprietary.

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