Sprout Social MCP Server for Mastra AI 10 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Sprout Social through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token. get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"sprout-social": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Sprout Social Agent",
instructions:
"You help users interact with Sprout Social " +
"using 10 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Sprout Social?"
);
console.log(result.text);
}
main();
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Sprout Social MCP Server
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.
Mastra's agent abstraction provides a clean separation between LLM logic and Sprout Social tool infrastructure. Connect 10 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
What you can do
- Campaign Publishing — Tell the AI to
create_social_postacross multiple platforms simultaneously, drafting or even queuing content directly by runninglist_scheduled_posts - Analytics Tapping — Command an automatic aggregation of your weekly performance invoking
get_profile_metricsor isolate specific campaign successes relying onget_tag_performance - Brand Listening — Exploit the
get_listening_analyticsaction to digest what the global internet is saying about your brand by checking configurations underlist_listening_topics - Profile Auditing — Keep your brand architecture organized mapping your active nodes through
list_profilesand verifying structure usinglist_profile_groups
The Sprout Social MCP Server exposes 10 tools through the Vinkius. Connect it to Mastra AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Sprout Social to Mastra AI via MCP
Follow these steps to integrate the Sprout Social MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 10 tools from Sprout Social via MCP
Why Use Mastra AI with the Sprout Social MCP Server
Mastra AI provides unique advantages when paired with Sprout Social through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Sprout Social without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every Sprout Social tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
Sprout Social + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Sprout Social MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Sprout Social, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Sprout Social as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Sprout Social on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Sprout Social tools alongside other MCP servers
Sprout Social MCP Tools for Mastra AI (10)
These 10 tools become available when you connect Sprout Social to Mastra AI via MCP:
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_listening_topics
List social listening topics
list_profile_groups
List Sprout Social organizational groups
list_profiles
). List connected Sprout Social profiles
list_published_posts
List published posts for a social profile
list_scheduled_posts
List scheduled posts
Example Prompts for Sprout Social in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with Sprout Social immediately.
"Give me the list of profiles attached, I need to know which ones are our global Facebook pages."
"Tell me the profile metrics for the first week of September on our X/Twitter account."
"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."
Troubleshooting Sprout Social MCP Server with Mastra AI
Common issues when connecting Sprout Social to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpSprout Social + Mastra AI FAQ
Common questions about integrating Sprout Social MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
Connect Sprout Social with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Sprout Social to Mastra AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.