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Threads Analytics

通过 Boring 的 MCP 工具连接 Threads 账户,查询账户级浏览与粉丝概览、实时帖子互动指标、按日期范围的历史帖子表现及发布历史,并将结果整理为表格、排名或趋势。使用前需配置含认证令牌的 MCP 连接链接。

snoopyrain
snoopyrain
热度 56.60
最近更新 2026-05-11 17:37:23
分类:营销依赖:MCP 服务 / 第三方 API应用场景:社交媒体 / 报告撰写 / 市场分析

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add threads-analytics
Metadata
name
threads-analytics
description
Track Threads performance and analytics. Use when the user says 'Threads analytics', 'Threads metrics', 'how are my Threads doing', 'Threads engagement', 'Threads views', 'Threads follower count', or wants to see views, likes, replies, reposts, and follower data for their Threads account.
version
1.0.0
metadata
{"openclaw":{"emoji":"📊","homepage":"https://boring-doc.aiagent-me.com/getting-started/mcp.html","requires":{"config":["MCP Connector link from boring.aiagent-me.com (contains embedded auth token)"]}}}

Threads Analytics

Track your Threads performance — views, likes, replies, reposts, quotes, and follower growth. Powered by Boring.

Security & Data Handling

  • MCP link is a credential: Your MCP Server URL (https://boring.aiagent-me.com/mcp/t/xxxxx...) contains an embedded authentication token. Treat it like a password — do not share it publicly.
  • Token scope: The embedded token is read-only for analytics. It can only fetch performance metrics and account metadata. It cannot publish, delete, or modify any content on your social media accounts.
  • Token storage: The token is stored server-side in Boring's database (MongoDB on DigitalOcean). It is never written to your local filesystem. You can regenerate or revoke it anytime at boring.aiagent-me.com/settings.
  • Data flow: Analytics queries are sent from Boring's server (Google Cloud, us-central1) to the platform's API on your behalf. Only performance metrics are retrieved — no content is uploaded or modified.
  • No local credentials: No local API keys, environment variables, or secrets are needed. All auth is embedded in the MCP link.
  • Third-party service: This skill relies on Boring, an open-source social media management tool. Source code: github.com/snoopyrain.

Prerequisites

  1. Sign up at boring.aiagent-me.com with Google
  2. Connect Threads account via OAuth
  3. Get your MCP link: Go to Settings → copy your MCP Server URL (contains your auth token — treat it like a password)
  4. Add to Claude: Paste the MCP link as a Connector — no install, no API key needed

Available Tools

Tool Data Source Best For
boring_get_performance Real-time platform API Account-level overview (views, followers)
boring_get_video_analytics Real-time platform API Per-post metrics (views, likes, replies, reposts)
boring_get_posts_performance Daily snapshots (collected at 2 AM) Historical post performance over date ranges
boring_get_publish_history Boring database Publishing history and status tracking

Workflow

Step 1: List Accounts

Call boring_list_accounts and filter for threads platform.

Step 2: Determine What the User Wants

User Request Tool to Use
"How are my Threads doing?" boring_get_performance
"Show my best Threads posts" boring_get_video_analytics
"Threads performance this month" boring_get_posts_performance
"What did I post on Threads?" boring_get_publish_history

Step 3: Fetch Data

Account-Level Performance

boring_get_performance(
  account_id="<account_id>",
  platform="threads",
  period="week"       // "day", "week", or "month"
)

Per-Post Analytics (Real-Time)

boring_get_video_analytics(
  account_id="<account_id>",
  platform="threads",
  limit=20             // max 100
)

Historical Post Performance (Snapshots)

boring_get_posts_performance(
  account_id="<account_id>",
  since="2025-12-01",
  until="2025-12-31",
  limit=20
)

Step 4: Present Results

Format the data clearly:

  • Account overview: Show views, followers in a summary table
  • Post analytics: Rank posts by engagement (likes + replies + reposts)
  • Historical: Show trends over time

Threads Metrics

Metric Description
views Post views
likes Post likes
replies Post replies
reposts Post reposts
quotes Post quotes
followers_count Account followers

Error Handling

Error Solution
InvalidApiKey MCP link may be invalid — regenerate it at boring.aiagent-me.com Settings
InvalidAccountId Run boring_list_accounts to get valid IDs
TokenExpired Reconnect account at boring.aiagent-me.com
No data returned Account may be newly connected — data collection runs daily at 2 AM

Documentation

Full API docs: boring-doc.aiagent-me.com