Sprout Social MCP Server
An MCP server that enables AI assistants to access Sprout Social data including analytics, publishing, messages, and listening through a standardized interface.
README
Sprout Social MCP Server
Note: This is an unofficial, community-built MCP server to use while Sprout Social works on releasing their official one.
A Model Context Protocol (MCP) server for the Sprout Social API. It lets AI assistants (Claude, Cursor, Devin, etc.) access your Sprout Social data — analytics, publishing, messages, listening, and more — through a standardized interface.
Quick Start
Prerequisites
- Node.js 18+
- A Sprout Social API token (how to create one)
- Your Sprout Social Customer ID (how to find it)
Running via npx
No installation required:
SPROUT_SOCIAL_API_KEY=your-token \
SPROUT_SOCIAL_CUSTOMER_ID=your-customer-id \
npx sprout-social-mcp
Configuration with Claude Desktop
Add to your claude_desktop_config.json:
{
"mcpServers": {
"sprout-social": {
"command": "npx",
"args": ["-y", "sprout-social-mcp"],
"env": {
"SPROUT_SOCIAL_API_KEY": "your-api-token",
"SPROUT_SOCIAL_CUSTOMER_ID": "your-customer-id"
}
}
}
}
Configuration with Cursor
Add to your .cursor/mcp.json:
{
"mcpServers": {
"sprout-social": {
"command": "npx",
"args": ["-y", "sprout-social-mcp"],
"env": {
"SPROUT_SOCIAL_API_KEY": "your-api-token",
"SPROUT_SOCIAL_CUSTOMER_ID": "your-customer-id"
}
}
}
}
Configuration with VS Code (GitHub Copilot)
Add to your .vscode/mcp.json:
{
"servers": {
"sprout-social": {
"command": "npx",
"args": ["-y", "sprout-social-mcp"],
"env": {
"SPROUT_SOCIAL_API_KEY": "your-api-token",
"SPROUT_SOCIAL_CUSTOMER_ID": "your-customer-id"
}
}
}
}
Configuration with Devin
In Devin's MCP settings, add a new server:
- Name:
sprout-social - Command:
npx -y sprout-social-mcp - Environment Variables:
SPROUT_SOCIAL_API_KEY→ your API tokenSPROUT_SOCIAL_CUSTOMER_ID→ your customer ID
Environment Variables
| Variable | Required | Description |
|---|---|---|
SPROUT_SOCIAL_API_KEY |
Yes | Your Sprout Social API token |
SPROUT_SOCIAL_CUSTOMER_ID |
Yes | Your Sprout Social customer ID |
Available Tools
Customer Metadata
| Tool | Description |
|---|---|
get_client |
Get your Sprout Social customer IDs and names |
get_profiles |
List all connected social profiles |
get_groups |
List all groups |
get_tags |
List all tags |
get_users |
List all users |
get_topics |
List all listening topics |
get_teams |
List all teams |
get_case_queues |
List all case queues |
Analytics
| Tool | Description |
|---|---|
get_profile_analytics |
Profile-level analytics (impressions, engagements, etc.) for a date range |
get_post_analytics |
Post-level analytics with pagination. Supports impressions, engagements, reactions, video views |
Messages
| Tool | Description |
|---|---|
get_messages |
Retrieve inbox messages with filtering and cursor-based pagination |
Listening
| Tool | Description |
|---|---|
get_listening_topic_metrics |
Get metrics for a listening topic |
get_listening_topic_messages |
Get messages from a listening topic |
Publishing
| Tool | Description |
|---|---|
create_publishing_post |
Create a new post to be published at a scheduled time |
get_publishing_post |
Retrieve details of a specific publishing post |
Media
| Tool | Description |
|---|---|
upload_media |
Upload media via URL for use in publishing posts |
Cases
| Tool | Description |
|---|---|
get_cases |
Retrieve customer cases/inquiries with filters for priority, time range, etc. |
Usage Tips
Post Analytics Pagination
The Sprout Social API paginates post analytics. Always check paging.total_pages in the response and request all pages:
Ask: "Get all Instagram post analytics for last week"
→ Tool calls get_post_analytics with page=1, then page=2, etc.
Valid Post-Level Metrics
lifetime.impressions— total viewslifetime.engagements— total engagement (likes, comments, shares, saves)lifetime.reactions— reactions onlylifetime.video_views— video view count
Invalid metrics (will cause errors): lifetime.comments, lifetime.shares, lifetime.reach
Finding Profile IDs
Use get_profiles first to discover your customer_profile_id values, then pass them to analytics or publishing tools.
Development
git clone https://github.com/jginorio/sprout-social-mcp.git
cd sprout-social-mcp
npm install
npm run build
To test locally:
SPROUT_SOCIAL_API_KEY=your-token \
SPROUT_SOCIAL_CUSTOMER_ID=your-customer-id \
node dist/index.js
License
MIT
推荐服务器
Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。
mcp-server-qdrant
这个仓库展示了如何为向量搜索引擎 Qdrant 创建一个 MCP (Managed Control Plane) 服务器的示例。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。