Sprout Social

Sprout Social MCP Connector for Claude

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Empower your AI with a full social media command center. Draft posts, track global analytics, and master listening topics natively across all brands.

10 tools Official Updated Jun 28, 2026 Official Vinkius Partner

Bring your Sprout Social enterprise command center directly into your artificial intelligence workflow. Stop shifting between code windows and social calendars. With this Vinkius MCP integration, your AI assistant inherits full programmatic capability over your corporate brand identity. From fetching granular interaction analytics or orchestrating new scheduled announcements via a simple markdown prompt, you obtain complete control over global social operations right inside your coding editor environment.

What you can do

  • Campaign Publishing — Tell the AI to create_social_post across multiple platforms simultaneously, drafting or even queuing content directly by running list_scheduled_posts
  • Analytics Tapping — Command an automatic aggregation of your weekly performance invoking get_profile_metrics or isolate specific campaign successes relying on get_tag_performance
  • Brand Listening — Exploit the get_listening_analytics action to digest what the global internet is saying about your brand by checking configurations under list_listening_topics
  • Profile Auditing — Keep your brand architecture organized mapping your active nodes through list_profiles and verifying structure using list_profile_groups

How it works

  1. Subscribe to this AI integration server natively
  2. Authorize via your Sprout Social token and your Customer ID
  3. Engage your language model internally telling it to draft, schedule, or gather real-time sentiment analysis over recent posts

Who is this for?

  • Social Media Managers & Analysts — command your agent to compile raw markdown comparison charts between Twitter and LinkedIn performance seamlessly
  • Marketing Tech Directors — use LLMs to evaluate specific social text patterns locally looking for hidden success correlations before launching
  • DevSecOps — rapidly write scripts triggering custom announcements crossing to official PR domains directly using prompt-level commands
social-listeningcontent-publishingengagement-metricsbrand-monitoringanalytics-reportingsocial-media-management

10 tools expose this connector's capabilities to your AI agent.

create_social_post

Provide a JSON array of profile_ids, the post text, and an optional scheduled_at time (ISO 8601). Create and schedule a new social media post

get_listening_analytics

Provide topic_id, start_date (YYYY-MM-DD), and end_date (YYYY-MM-DD). Get social listening metrics for a specific topic

get_profile_metrics

Provide profile_id, start_date (YYYY-MM-DD), and end_date (YYYY-MM-DD). Get Sprout Social profile analytics

get_tag_performance

Get performance reports based on Sprout Social tags

list_draft_posts

List draft posts in Sprout Social

list_profile_groups

List Sprout Social organizational groups

list_listening_topics

List social listening topics

list_profiles

). List connected Sprout Social profiles

list_published_posts

List published posts for a social profile

list_scheduled_posts

List scheduled posts

See how to talk to your AI agent using Sprout Social.

Give me the list of profiles attached, I need to know which ones are our global Facebook pages.

Gathering connected profile roots using `list_profiles`: 1. 📘 **Facebook Fan Page** - 'Global Vinkius Tech' (ID: 100223) 2. 🐦 **X / Twitter** - '@VinkiusGlobal' (ID: 554302) 3. 📘 **Facebook Fan Page** - 'Support EU' (ID: 100889) You have two primary Facebook targets linked. Would you like to schedule an announcement across `100223` natively?

Tell me the profile metrics for the first week of September on our X/Twitter account.

Fetching analytics from `get_profile_metrics` on ID 554302 targeting [2025-09-01 => 2025-09-07]: - **Total Engagements**: 4,210 (+12% vs prior week) - **Net Follower Growth**: 154 - **Total Impressions**: 185K Your X profile sustained healthy organic virality this period. Should I query the specific tags or listening reports?

Create and schedule a new post for our primary account. Output JSON array structure and tell it: 'Big things coming next Friday!' queued for 2025-10-10 at noon.

Assembled payload arrays calling `create_social_post` with parameter `profile_ids: ["100223"]` natively bridging string texts: **STATUS: QUEUED SUCCESS** ✅ **Timestamp Set**: `2025-10-10T12:00:00Z` **Content Mapped**: "Big things coming next Friday!" The post successfully resides securely encapsulated within Sprout Social backend ready to automatically clear pipelines at your allocated interval block. Use `list_scheduled_posts` to re-audit if desired.

Yes. Once you gather valid endpoints using `list_profiles`, you can instruct the AI to construct content. When instructed, the bot calls `create_social_post`, supplying your generated text payload and matching the ID, broadcasting it natively. It can also assign scheduled timestamps for delayed publishing.

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