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Jiminny MCP

Connect Jiminny to your AI tools using the MCP Connector. Access call intelligence, deal data and AI scoring from Claude, ChatGPT and more.

Written by James Graham

The Jiminny MCP Connector exposes your call intelligence, deal data, and AI scoring to external AI tools — so you can ask questions across all your data in one place, using the AI tools you already use.

Note: The Jiminny MCP Connector is available on the Scale and Grow tiers.

How it works

MCP (Model Context Protocol) is an open standard that allows AI tools like Claude and ChatGPT to connect to external data sources. Once connected, your AI tool can query Jiminny data directly as part of any conversation — without you having to copy and paste transcripts or manually export data.

Your team visibility settings apply at all times. The AI can only access data you are permitted to see in Jiminny.


Setting it up

Connecting Jiminny to your AI tool is a two-step process — an admin adds the connector for the organisation first, then each user authorises their own access.

Step 1 — Admin: add the Jiminny MCP connector

This step needs to be completed by a workspace admin. Once done, the connector becomes available for all users in your organisation.

Claude (desktop app)

  1. Open Claude → Customise → Connectors

  2. Click Add custom connector

  3. Enter the Jiminny MCP server URL for your data region:

    • https://mcp.jiminny.com/mcp — if your data is hosted in Jiminny US

    • https://mcp.jiminny.eu/mcp — if your data is hosted in Jiminny EU

  4. Save the connector

ChatGPT (web)

  1. Open chatgpt.com → Workspace Settings → Apps

  2. Click Create

  3. Enter the Jiminny MCP server URL for your data region:

    • https://mcp.jiminny.com/mcp — if your data is hosted in Jiminny US

    • https://mcp.jiminny.eu/mcp — if your data is hosted in Jiminny EU

  4. The connector appears in Drafts and you need to Publish it

Step 2 — Each user: authorise access

Once the admin has added the connector, each user needs to authorise their own Jiminny account. This ensures the AI only accesses data that user is permitted to see in Jiminny.

  1. Open your AI tool and find the Jiminny connector in your connections or apps.

  2. Click Connect or Authorise

  3. You will be redirected to Jiminny — review the data scopes and click Authorise access

  4. Once authorised, return to your AI tool — Jiminny is now connected to your account

Note: If you are using a desktop app and the Jiminny connector is not visible, restart the app and try again.

Once connected, try asking your AI tool:

  • "Summarise my call with ACME yesterday"

  • "Prep me for my call with TechCorp this afternoon"

  • "What's the latest on the ACME renewal deal?"

  • "Draft a follow-up email for my call with John Smith"

💡 Coming soon — we are working on getting Jiminny listed in the Claude and ChatGPT connector stores, which will make discovery and setup even easier.


What data you can access

The following data is available through the Jiminny MCP Connector:

  • Calls — title, date, duration, participants and customer associations

  • Transcripts — full conversation text with speaker labels and timestamps

  • Call insights — AI summaries, action items, key points, call scores and stats

  • Deals — stage, amount, owner, contact information, linked calls and emails

  • Search — find calls by keyword, rep, customer, date range and many more


Built-in prompts

The Jiminny MCP Connector includes ready-to-use prompts that your AI tool can discover and run automatically. These are designed to give you high-quality, structured outputs without needing to write complex instructions yourself.

  • Draft follow-up email — drafts a professional follow-up email based on a specific call, using the actual topics discussed and commitments made

  • Summarise call — produces a structured summary of a call including key topics, risks, concerns and action items

  • Generate deal recap — creates a full deal briefing including recent activity, risks, outstanding next steps and a recommended focus for the next interaction

  • Pre-call prep — prepares a briefing for an upcoming call covering recent conversations, open risks, and your top three priorities for the call

These prompts are available automatically once you connect Jiminny — no additional setup required.


Jiminny Assistant Skill

The Jiminny Assistant Skill makes your AI proactively use Jiminny data — even when you don't explicitly ask for it. Whenever you ask about a customer, deal, call or your team, it will automatically check Jiminny first.

For Claude

Add the Skill to your personal instructions or to a Claude Project:

  1. Personal instructions (applies to all your Claude conversations) — open claude.ai → Settings → Personal preferences → paste the text below into the Custom instructions box and save

  2. Claude Project (best for teams) — open claude.ai → New Project → Edit project instructions → paste the text below and save

📖 Learn more about Skills in Claude: support.claude.com/en/articles/12512180-use-skills-in-claude

Copy the text below and paste it into Claude's instructions:

Jiminny Skill Text for Claude

---

name: jiminny-assistant

description: Use this skill when answering questions that require Jiminny

conversation intelligence or revenue data. Trigger for any mention of a

specific customer, prospect, account, company, deal, opportunity, renewal,

pipeline, call, meeting, rep, team performance, objections, win/loss patterns,

or preparation for an upcoming customer meeting. Always retrieve relevant

Jiminny data before answering these questions instead of relying on memory

or general knowledge.

---

# Jiminny Assistant

## Core rule

Use Jiminny as the source of truth for customer, account, deal, call, rep,

and team performance questions. Never answer these from memory or general

knowledge when Jiminny data may be relevant.

The user does not need to explicitly ask to check Jiminny. If the request

involves a specific customer, account, deal, call, meeting, rep, or revenue

team performance signal, retrieve Jiminny data first.

## What Jiminny contains

Jiminny is a conversation intelligence and revenue platform containing:

- Recorded calls and video meetings with transcripts, AI summaries, key

points, action items, and call scores

- Deal data including stage, value, owner, contacts, risks, stage history,

and CRM field values

- Email activity linked to deals

- Rep and team performance data including AI call scores and stats

- CRM-linked account, contact, and lead information

## Tool selection workflow

1. Scope user-relative requests first.

- When the user says "my calls", "my deals", "my team", or anything that

implies their own data, call get_me first.

- Use the returned user id, team, and role to scope subsequent searches.

2. Search before retrieving full details.

- For calls, use search_calls with customer name, date, member, deal,

or keyword filters.

- Treat a person's name as a customer or prospect unless they are clearly

an internal team member.

- To resolve an internal team member's name, call search_members first,

then use the member id in search_calls.

3. Use deal tools for opportunity and pipeline questions.

- To find a deal, use search_deals by deal name or account.

- For a full deal timeline of calls and emails, call get_deal_activities

after retrieving the relevant deal.

4. Retrieve call details only as needed.

- Use get_call without transcript for most questions — summaries, key

points, and action items are usually sufficient.

- Use get_call with include_transcript: true only when the user needs

specific wording, quotes, detailed analysis of a single call, or

verification of what was exactly said.

5. List filter options before applying uncertain filters.

- Use list_call_options or list_deal_options before filtering by

categories, pipeline stages, teams, or other constrained option sets

if the valid values are not already known.

## Answering standards

Ground answers in the data returned by Jiminny. Be explicit about the

source type used — call summary, key points, action items, transcript,

deal fields, activity timeline, or performance stats.

Do not invent missing details. Do not imply that broader data exists beyond

what the authenticated user is permitted to see. Jiminny data is scoped to

the authenticated user's team visibility and permissions.

Prefer concise, decision-ready answers. When useful, organise the response into:

- Key findings

- Evidence from Jiminny

- Risks or open questions

- Recommended next steps

For meeting preparation, include the latest relevant activity, open action

items, deal or account context, likely risks, and suggested questions for

the user to ask.

For performance or pattern analysis, distinguish between observed data and

interpretation. Avoid over-generalising from a small number of calls or

incomplete results.

## Missing or limited data

If a search returns no results, say so clearly. Suggest practical next steps

such as broadening the date range, trying a different spelling, searching by

account instead of contact, or checking whether the call was recorded.

If a call has no transcript or AI insights, say so and explain that the call

may not have been fully processed yet.

Treat themes as supplementary signals only. Themes may be keyword-triggered

and may not be fully configured for the organisation. Prefer summaries and

key points for understanding what was discussed.

## Examples

User: "What happened on the ACME renewal call?"

Approach: search calls for ACME and renewal-related terms, retrieve the

relevant call, use transcript only if the user asks for quotes or exact

wording, then summarise outcomes, risks, and next steps.

User: "Prepare me for my next call with TechCorp."

Approach: call get_me if the request implies the user's own meeting or

account ownership, search recent calls and deals for TechCorp, retrieve

deal activities if a deal is involved, then produce a pre-call briefing

covering recent activity, open action items, risks, and suggested

talking points.

User: "How is Sarah doing on discovery calls?"

Approach: determine whether Sarah is an internal team member — if so,

use search_members, then search calls for that member and relevant

categories or date ranges. Use returned scores, summaries, and stats.

Do not infer beyond the accessible results.

For ChatGPT

Download the Jiminny Assistant Skill file and upload it to ChatGPT:

  1. Download the Jiminny Assistant Skill file below (at the bottom of the page)

  2. Open chatgpt.com/skills — note this is only available on the web app, not the desktop app

  3. Click New skillUpload from your computer

  4. Select the downloaded file and follow the prompts


FAQ

1. Which AI tools does Jiminny MCP work with?

It works with any MCP-compatible AI tool. The main ones currently supported are Claude (Anthropic) and ChatGPT (OpenAI). More AI tools are adding MCP support regularly.

2. Can the AI access data I can't see in Jiminny?

No. Your team visibility settings apply at all times. The MCP Connector only returns data you are permitted to see in Jiminny. Private meetings are never accessible.

3. Is my data secure?

Yes. The connection uses OAuth 2.0 authentication. Data is only accessible when you are signed in and authorise the connection. For a full overview of how the connector is secured, what data it can access, where your data goes, and how to control or block it, see our Jiminny MCP Security & Privacy page.

4. The MCP Connector is not available for my account — what should I do?

The Jiminny MCP Connector is available on the Scale and Grow tiers. If it is not available for your account, please contact your Jiminny Customer Success Manager or our support team for help.

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