ScatterSpoke Logo
Agent-native · MCP

Stop building
survey plumbing.

Your agents need to ask real people questions — give them a tool, not a six-month backend project. ScatterSpoke is survey infrastructure they call over MCP: generate a survey, send it, read synthesized results back. Static forms or adaptive interviews. You never build or maintain a thing.

one connection · create · send · synthesize
Runs inside your agent
No backend to build
your-agent ▸ scatterspoke · MCP live
Tools called by your agent over MCP ScatterSpoke
Works over MCP with
The build-vs-buy moment

Months of plumbing.
Or one MCP call.

A survey backend is months of plumbing you'll own forever — endpoints, branching, storage, dashboards, an analysis pipeline. Or it's a single MCP connection your agent already knows how to call.

Build it yourself
Months of plumbing you own forever
  • Form endpoints, schemas & versioning
  • Branching logic & per-respondent state
  • Storage, webhooks & a results dashboard
  • An analysis pipeline to make sense of it all
Call ScatterSpoke
One MCP tool. Minutes, not months.
  • create_survey() — schema & logic handled
  • distribute() — links, embeds & MCP endpoints
  • Responses stored, scored & synthesized for you
  • query_context() — answers, not raw data
The toolset

A handful of tools. The whole survey lifecycle.

Everything your agent needs, exposed as clean MCP tools — and every one works the same whether it's a static form or an adaptive interview.

Static forms same tools Adaptive interviews
create_survey()

Draft a survey from a goal or a JSON schema. Returns an id, ready to send.

distribute()

Share it as a link, embed, email, QR — or a live MCP endpoint others can call.

respond()

Let a person — or their assistant — answer, in chat or fully over MCP.

list_responses()

Stream responses as they land, each scored for depth and substance.

query_context()

Ask a question; get a synthesized, cited answer straight from the context graph.

export_results()

Push themes & raw data to your warehouse, Sheets, or any webhook.

Pre-computed context

Your agents don't crawl transcripts.
They query a context graph.

As answers land, we cluster, theme, score and link every response into a pre-computed context graph — so your agent asks one question and gets a cited answer back, instead of dragging thousands of raw transcripts into its window.

Why it matters for agents

A cited answer in ~2K tokens.
Not a transcript dump.

Every theme, quote and frequency is computed the moment a response arrives and linked into the graph. Your agent spends its context window on the decision — not on re-reading raw data it shouldn't have to parse.

~840K
tokens to crawl 412 raw transcripts — slow, lossy, expensive
vs
~2K
tokens for one context-graph query — cited & instant
Price vs. value 64% Reporting unused 41% Onboarding 33% Switched away 23% Context graph
your-agent ▸ scatterspoke · MCP live
create_survey(goal="why did trial users churn?") srv_8fa2 · 12 questions · adaptive interview
distribute(survey="srv_8fa2", audience="trial_churned") → sent to 500 · link + MCP endpoint live
query_context(survey="srv_8fa2", ask="top churn driver?") "price vs. value" · 64% · 3 cited quotes · pre-computed ↳ 2,140 tokens · 18ms — no transcript crawl
What agents do with it

Surveys become something your agents just… do

When asking a question is one tool call away, whole workflows open up that were never worth building before.

Continuous-discovery agent

Drops a short interview to every churned trial each day and files the synthesized themes straight to your tracker — no human in the loop.

Churn-watch agent

Spots at-risk accounts, interviews them in the moment, and surfaces the real reason they're leaving before the renewal date hits.

Voice-of-customer copilot

A researcher asks a question; the copilot spins up the study, runs it, and answers from the graph — citing real verbatims.

How it works

From zero to agent-run surveys in three steps

01

Connect the MCP server

Point your agent at ScatterSpoke's MCP endpoint. A couple of lines — no SDK, no backend.

mcp.scatterspoke.com
02

Your agent gets the tools

create, distribute, respond, query — survey superpowers show up like any other tool it can call.

create_surveydistributequery_context
03

It runs the whole loop

Generate, send, collect, synthesize, answer — autonomously, on whatever cadence you set.

generatesendanswer

Give your agents a survey tool.

Connect over MCP and let your agents create, send, and read surveys in minutes. Free to start.

No credit card · SOC 2 · GDPR