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Hubspot Automation

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davepoon
hubspot-automation

Automate HubSpot CRM operations (contacts, companies, deals, tickets, properties) via Rube MCP using Composio integration.

Overview

Publisherdavepoon
Repositorybuildwithclaude
Skill namehubspot-automation
Stars
3.6K
Forks
586
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by davepoon on GitHub. Read the source before you install it.

Installation

Install the Hubspot Automation AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/davepoon/buildwithclaude/tree/main/plugins/all-skills/skills/hubspot-automation
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/davepoon/buildwithclaude.git /tmp/buildwithclaude
mkdir -p .claude/skills
cp -r /tmp/buildwithclaude/plugins/all-skills/skills/hubspot-automation .claude/skills/hubspot-automation
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Hubspot Automation in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Hubspot Automation on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Hubspot Automation is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

HubSpot CRM Automation via Rube MCP

Automate HubSpot CRM workflows including contact/company management, deal pipeline tracking, ticket search, and custom property creation through Composio's HubSpot toolkit.

Toolkit docs: composio.dev/toolkits/hubspot

Prerequisites

  • Rube MCP must be connected (RUBE_SEARCH_TOOLS available)
  • Active HubSpot connection via RUBE_MANAGE_CONNECTIONS with toolkit hubspot
  • Always call RUBE_SEARCH_TOOLS first to get current tool schemas

Setup

Get Rube MCP: Add https://rube.app/mcp as an MCP server in your client configuration. No API keys needed — just add the endpoint and it works.

  1. Verify Rube MCP is available by confirming RUBE_SEARCH_TOOLS responds
  2. Call RUBE_MANAGE_CONNECTIONS with toolkit hubspot
  3. If connection is not ACTIVE, follow the returned auth link to complete HubSpot OAuth
  4. Confirm connection status shows ACTIVE before running any workflows

Core Workflows

1. Create and Manage Contacts

When to use: User wants to create new contacts or update existing ones in HubSpot CRM

Tool sequence:

  1. HUBSPOT_GET_ACCOUNT_INFO - Verify connection and permissions (Prerequisite)
  2. HUBSPOT_SEARCH_CONTACTS_BY_CRITERIA - Search for existing contacts to avoid duplicates (Prerequisite)
  3. HUBSPOT_READ_A_CRM_PROPERTY_BY_NAME - Check property metadata for constrained values (Optional)
  4. HUBSPOT_CREATE_CONTACT - Create a single contact (Required)
  5. HUBSPOT_CREATE_CONTACTS - Batch create contacts up to 100 (Alternative)

Key parameters:

  • HUBSPOT_CREATE_CONTACT: properties object with email, firstname, lastname, phone, company
  • HUBSPOT_CREATE_CONTACTS: inputs array of {properties} objects, max 100 per batch
  • HUBSPOT_SEARCH_CONTACTS_BY_CRITERIA: filterGroups array with {filters: [{propertyName, operator, value}]}, properties array of fields to return

Pitfalls:

  • Max 100 records per batch; chunk larger imports
  • 400 'Property values were not valid' if using incorrect property names or enum values
  • Always search before creating to avoid duplicates
  • Auth errors from GET_ACCOUNT_INFO mean all subsequent calls will fail

2. Manage Companies

When to use: User wants to create, search, or update company records

Tool sequence:

  1. HUBSPOT_SEARCH_COMPANIES - Search existing companies (Prerequisite)
  2. HUBSPOT_CREATE_COMPANIES - Batch create companies, max 100 (Required)
  3. HUBSPOT_UPDATE_COMPANIES - Batch update existing companies (Alternative)
  4. HUBSPOT_GET_COMPANY - Get single company details (Optional)
  5. HUBSPOT_BATCH_READ_COMPANIES_BY_PROPERTIES - Bulk read companies by property values (Optional)

Key parameters:

  • HUBSPOT_CREATE_COMPANIES: inputs array of {properties} objects, max 100
  • HUBSPOT_SEARCH_COMPANIES: filterGroups, properties, sorts, limit, after (pagination cursor)

Pitfalls:

  • Max 100 per batch; chunk larger sets
  • Store returned IDs immediately for downstream operations
  • Property values must match exact internal names, not display labels

3. Manage Deals and Pipeline

When to use: User wants to search deals, view pipeline stages, or track deal progress

Tool sequence:

  1. HUBSPOT_RETRIEVE_ALL_PIPELINES_FOR_SPECIFIED_OBJECT_TYPE - Map pipeline and stage IDs/names (Prerequisite)
  2. HUBSPOT_SEARCH_DEALS - Search deals with filters (Required)
  3. HUBSPOT_RETRIEVE_PIPELINE_STAGES - Get stage details for one pipeline (Optional)
  4. HUBSPOT_RETRIEVE_OWNERS - Get owner/rep details (Optional)
  5. HUBSPOT_GET_DEAL - Get single deal details (Optional)
  6. HUBSPOT_LIST_DEALS - List all deals without filters (Fallback)

Key parameters:

  • HUBSPOT_SEARCH_DEALS: filterGroups with filters on pipeline, dealstage, createdate, closedate, hubspot_owner_id; properties, sorts, limit, after
  • HUBSPOT_RETRIEVE_ALL_PIPELINES_FOR_SPECIFIED_OBJECT_TYPE: objectType set to 'deals'

Pitfalls:

  • Results nested under response.data.results; properties are often strings (amounts, dates)
  • Stage IDs may be readable strings or opaque numeric IDs; use label field for display
  • Filters must use internal property names (pipeline, dealstage, createdate), not display names
  • Paginate via paging.next.after until absent

4. Search and Filter Tickets

When to use: User wants to find support tickets by status, date, or criteria

Tool sequence:

  1. HUBSPOT_SEARCH_TICKETS - Search with filterGroups (Required)
  2. HUBSPOT_READ_ALL_PROPERTIES_FOR_OBJECT_TYPE - Discover available property names (Fallback)
  3. HUBSPOT_GET_TICKET - Get single ticket details (Optional)
  4. HUBSPOT_GET_TICKETS - Bulk fetch tickets by IDs (Optional)

Key parameters:

  • HUBSPOT_SEARCH_TICKETS: filterGroups, properties (only listed fields are returned), sorts, limit, after

Pitfalls:

  • Incorrect propertyName/operator returns zero results without errors
  • Date filtering may require epoch-ms bounds; mixing formats causes mismatches
  • Only fields in the properties array are returned; missing ones break downstream logic
  • Use READ_ALL_PROPERTIES to discover exact internal property names

5. Create and Manage Custom Properties

When to use: User wants to add custom fields to CRM objects

Tool sequence:

  1. HUBSPOT_READ_ALL_PROPERTIES_FOR_OBJECT_TYPE - List existing properties (Prerequisite)
  2. HUBSPOT_READ_PROPERTY_GROUPS_FOR_OBJECT_TYPE - List property groups (Optional)
  3. HUBSPOT_CREATE_PROPERTY_FOR_SPECIFIED_OBJECT_TYPE - Create a single property (Required)
  4. HUBSPOT_CREATE_BATCH_OF_PROPERTIES - Batch create properties (Alternative)
  5. HUBSPOT_UPDATE_SPECIFIC_CRM_PROPERTY - Update existing property definition (Optional)

Key parameters:

  • HUBSPOT_CREATE_PROPERTY_FOR_SPECIFIED_OBJECT_TYPE: objectType, name, label, type (string/number/date/enumeration), fieldType, groupName, options (for enumerations)

Pitfalls:

  • Property names are immutable after creation; choose carefully
  • Enumeration options must be pre-defined with value and label
  • Group must exist before assigning properties to it

Common Patterns

ID Resolution

  • Property display name → internal name: Use HUBSPOT_READ_ALL_PROPERTIES_FOR_OBJECT_TYPE
  • Pipeline name → pipeline ID: Use HUBSPOT_RETRIEVE_ALL_PIPELINES_FOR_SPECIFIED_OBJECT_TYPE
  • Stage name → stage ID: Extract from pipeline stages response
  • Owner name → owner ID: Use HUBSPOT_RETRIEVE_OWNERS

Pagination

  • Search endpoints use cursor-based pagination
  • Follow paging.next.after until absent
  • Typical limit: 100 records per page
  • Pass after value from previous response to get next page

Batch Operations

  • Most create/update endpoints support batching with max 100 records per call
  • For larger datasets, chunk into groups of 100
  • Store returned IDs from each batch before proceeding
  • Use batch endpoints (CREATE_CONTACTS, CREATE_COMPANIES, UPDATE_COMPANIES) instead of single-record endpoints for efficiency

Known Pitfalls

  • Property names: All search/filter endpoints use internal property names, NOT display labels. Always call READ_ALL_PROPERTIES_FOR_OBJECT_TYPE to discover correct names
  • Batch limits: Max 100 records per batch operation. Larger sets must be chunked
  • Response structure: Search results are nested under response.data.results with properties as string values
  • Date formats: Date properties may be epoch-ms or ISO strings depending on endpoint. Parse defensively
  • Immutable names: Property names cannot be changed after creation. Plan naming conventions carefully
  • Cursor pagination: Use paging.next.after cursor, not page numbers. Continue until after is absent
  • Duplicate prevention: Always search before creating contacts/companies to avoid duplicates
  • Auth verification: Run HUBSPOT_GET_ACCOUNT_INFO first; auth failures cascade to all subsequent calls

Quick Reference

TaskTool SlugKey Params
Create contactHUBSPOT_CREATE_CONTACTproperties: {email, firstname, lastname}
Batch create contactsHUBSPOT_CREATE_CONTACTSinputs: [{properties}] (max 100)
Search contactsHUBSPOT_SEARCH_CONTACTS_BY_CRITERIAfilterGroups, properties, limit, after
Create companiesHUBSPOT_CREATE_COMPANIESinputs: [{properties}] (max 100)
Search companiesHUBSPOT_SEARCH_COMPANIESfilterGroups, properties, after
Search dealsHUBSPOT_SEARCH_DEALSfilterGroups, properties, after
Get pipelinesHUBSPOT_RETRIEVE_ALL_PIPELINES_FOR_SPECIFIED_OBJECT_TYPEobjectType: 'deals'
Search ticketsHUBSPOT_SEARCH_TICKETSfilterGroups, properties, after
List propertiesHUBSPOT_READ_ALL_PROPERTIES_FOR_OBJECT_TYPEobjectType
Create propertyHUBSPOT_CREATE_PROPERTY_FOR_SPECIFIED_OBJECT_TYPEobjectType, name, label, type, fieldType
Get ownersHUBSPOT_RETRIEVE_OWNERSNone
Verify connectionHUBSPOT_GET_ACCOUNT_INFONone

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Frequently asked questions

What does the Hubspot Automation AI skill do?

Automate HubSpot CRM operations (contacts, companies, deals, tickets, properties) via Rube MCP using Composio integration.

Why use Hubspot Automation on TypingMind?

Because you install it once and use it with any model. Hubspot Automation is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Hubspot Automation in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/davepoon/buildwithclaude/tree/main/plugins/all-skills/skills/hubspot-automation. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Hubspot Automation?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Hubspot Automation?

As many as you like. As long as a model supports skills, you can use Hubspot Automation with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Hubspot Automation AI skill free?

Yes. It is published on GitHub by davepoon under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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