Spur
Gerencie transmissões, segmentos, modelos, contatos e conversas com clientes do WhatsApp no seu espaço de trabalho Spur, pelo WhatsApp, Instagram, Messenger e e-mail. Servidor remoto com login OAuth (conta Spur).
Servidor MCP hospedado
npx add-mcp 'https://api.spurnow.com/mcp'Instala no Claude Code, Codex, Cursor e outros
Documentação
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.
Prompts to try
After you connect Spur, copy a prompt and paste it into Claude or ChatGPT. It answers from your own Spur workspace. Prompts marked "Saves to Spur" add an internal note or a draft to your workspace. None of them sends a message or submits a template.
Broadcasts
Compare your recent broadcasts
Read only
Delivery, read and click rates, cost and revenue for your last 5 sent broadcasts, and which one worked best.
Compare my last 5 sent WhatsApp broadcasts on delivery, read and click rates, cost and revenue. Which one did best, and why?
See why messages failed
Read only
Everyone your latest broadcast didn't reach, grouped by Meta's error reason, with what to fix.
Who didn't receive my latest broadcast? Group the failed contacts by error reason and tell me what to fix.
Set up a broadcast
Saves to Spur
Your segments with their sizes, then a draft broadcast to the one you pick with an approved template. Nothing is sent.
Show me my latest segments and their sizes, then set up a broadcast to the one I pick with an approved marketing template. Wait for my OK before launching.
Inbox
Triage today's unread chats
Saves to Spur
What each waiting customer wants, with a suggested reply left as an internal note your team can see.
List today's unread conversations, sum up what each customer wants, and leave an internal note with a suggested reply on each.
Check your AI agent's replies
Read only
Replies from your AI agent that were wrong, off-brand or left a question unanswered.
Read my 10 latest WhatsApp and Instagram conversations and flag any AI agent reply that is wrong, off-brand or left a question unanswered.
Catch up on Instagram
Read only
Who messaged you on Instagram today and what they asked about.
Who messaged us on Instagram today, and what did they ask about?
Audiences and templates
Size an audience
Read only
How many contacts are still reading your WhatsApp messages, before you build a segment.
How many contacts read one of our WhatsApp messages in the last 30 days? Don't save a segment yet.
Find rejected templates
Read only
Every WhatsApp template Meta rejected, with the reason Meta gave.
Which of my WhatsApp templates did Meta reject, and what was the reason for each?
Draft a template
Saves to Spur
A WhatsApp marketing template checked against Meta's rules and saved as a draft. It is not submitted.
Draft a WhatsApp marketing template for our weekend sale with a Shop now button and an opt-out line. Check it against Meta's rules and save it as a draft; don't submit it.
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.