Spur
Run WhatsApp broadcasts, segments, templates, contacts and customer conversations in your Spur workspace, across WhatsApp, Instagram, Messenger and email. Remote server with OAuth sign-in (Spur account).
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เอกสาร
Endpoint
Available tools
Bulk messaging should use segment + broadcast workflow (segment_create → broadcast_create/broadcast_update → broadcast_launch). Use message_send for single-recipient sends only. For contact CSV imports, use customer_import_csv_* to stay aligned with UI import validation and queueing.
template_create_draft
template_update_draft
template_submit_for_review
template_search
template_refresh
template_delete
template_requirements
channels_list
message_send
direct_send
conversation_search
conversation_messages
conversation_note_create
contact_create
contact_update
contact_delete
contact_search
contact_tag_search
customer_import_csv_validate
customer_import_csv_start
customer_import_csv_status
customer_import_csv_clear
segment_filters_catalog
segment_search
segment_create
segment_update
segment_delete
shopify_segment_sync
shopify_segment_query_reference
shopify_segment_validate
shopify_segment_create
shopify_segment_update
shopify_segment_delete
broadcast_create
broadcast_update
broadcast_launch
broadcast_search
broadcast_analytics
broadcast_overview_stats
Segment strategy
Use SPUR segments when
- You need Spur-native filters like Spur tags, message activity, workflow state, or website events.
- You just imported a CSV cohort and want one tag-based audience for broadcasts.
- The audience logic is campaign-specific and does not need to exist in Shopify admin.
Use Shopify segments when
- You want Shopify-native audience logic for reuse in Shopify marketing or discount workflows.
- Rules rely on Shopify customer facts like amount spent, number of orders, or subscription status.
- You want Spur to sync and use the same segment definition already managed in Shopify.
For 1,000+ imported contacts, do not build segments by listing each number. Build one tag-based SPUR segment from the import tag and use that segment in broadcast flows.
Documentation map
[
Overview
What Spur MCP supports and where to start.
](https://www.spurnow.com/en/mcp)[
Quickstart
Connect your client and validate in minutes.
](https://www.spurnow.com/en/mcp/quickstart)[
Tools
Schemas, request examples, and outputs.
](https://www.spurnow.com/en/mcp/tools)[
Errors
Structured error envelope and troubleshooting.
](https://www.spurnow.com/en/mcp/errors)[
Security
Auth model and production hardening.
](https://www.spurnow.com/en/mcp/security)[
Changelog
Version history and compatibility policy.
](https://www.spurnow.com/en/mcp/changelog)
Documentation references
- Linear MCP docs Strong practical setup and troubleshooting for real client environments.
- Zapier MCP docs Clear IA split across overview, quickstart, and client-specific setup.
- GitHub MCP server Great example of explicit tool scope and production constraints.
- MCP specification Protocol transport baseline for streamable HTTP interoperability.
- Shopify segment query language reference Canonical query syntax reference for Shopify-native segment definitions.