Syl Pulse

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 [email protected].

License

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