telepace

Model Context Protocol

Your agent gets a user researcher.

telepace is a first-class MCP server. Five stateful tools your agent can call the same way a human PM would open a research tab.

Tools

Every tool returns a next_actions field. That is what makes tool-using agents effective.

create_campaignMCP tool

Draft a study from a goal + background. Returns a persistent campaign_id.

Input

{ title, goal, background?, target_completions?, channels? }

Output

{ campaign_id, outline, share_url, next_actions }
get_campaign_progressMCP tool

Read the projection: completions so far, coverage per question, spend to date.

Input

{ campaign_id }

Output

{ status, completions, coverage, spend_usd, next_actions }
get_campaign_insightsMCP tool

Return the current cluster of themes with representative verbatims.

Input

{ campaign_id, min_confidence? }

Output

{ themes[], verbatims[], next_actions }
ask_followupMCP tool

Mine the transcript corpus with a natural-language question. Non-destructive.

Input

{ campaign_id, question }

Output

{ answer, supporting_quotes, next_actions }
push_insightsMCP tool

Export to Notion, Linear, Slack, or a webhook. Idempotent per destination.

Input

{ campaign_id, destination, config }

Output

{ status, external_ref, next_actions }

Try it in 60 seconds

Wire telepace into Claude Code.

One command, no config. Your Claude gains an entire research team.

# 1. Add the MCP server
$ claude mcp add telepace https://mcp.telepace.io

# 2. Ask Claude to do research
claude> Run a study on why users churn from our pro tier.

  · Calling telepace.create_campaign …
    ↳ campaign_id: 4f2b…9c1
    ↳ share_url:  https://telepace.io/r/4f2b9c1

  · Calling telepace.get_campaign_progress …
    ↳ 32 / 50 completions · coverage 78%

  · Calling telepace.get_campaign_insights …
    ↳ 3 themes surfaced (confidence ≥ 0.7)

Ready to push? Reply "push to Notion" and I'll finalize.
MCP · telepace