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
Connect Threads account via OAuth
Get your MCP link: Go to Settings → copy your MCP Server URL (contains your auth token — treat it like a password)
Add to Claude: Paste the MCP link as a Connector — no install, no API key needed

Available Tools

Tool	Data Source	Best For
INLINECODE1	Real-time platform API	Account-level overview (views, followers)
INLINECODE2

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?"	INLINECODE7
"Show my best Threads posts"

Step 3: Fetch Data

Account-Level Performance

CODEBLOCK0

Per-Post Analytics (Real-Time)

CODEBLOCK1

Historical Post Performance (Snapshots)

CODEBLOCK2

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
INLINECODE11	Post views
INLINECODE12

Error Handling

Error	Solution
INLINECODE17	MCP link may be invalid — regenerate it at boring.aiagent-me.com Settings
INLINECODE18

Documentation

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

Threads 数据分析

追踪您的 Threads 表现——浏览量、点赞数、回复数、转发数、引用数和粉丝增长。由 Boring 提供支持。

安全与数据处理

- MCP 链接即凭证：您的 MCP 服务器 URL（https://boring.aiagent-me.com/mcp/t/xxxxx...）包含一个嵌入的身份验证令牌。请像对待密码一样对待它——不要公开分享。
令牌范围：嵌入的令牌对数据分析为只读。它只能获取性能指标和账户元数据。无法在您的社交媒体账户上发布、删除或修改任何内容。
令牌存储：令牌存储在 Boring 数据库（DigitalOcean 上的 MongoDB）的服务器端。它永远不会写入您的本地文件系统。您可以随时在 boring.aiagent-me.com/settings 重新生成或撤销它。
数据流：分析查询从 Boring 的服务器（Google Cloud，us-central1）代表您发送到平台的 API。仅检索性能指标——不会上传或修改任何内容。
无本地凭证：无需本地 API 密钥、环境变量或密钥。所有身份验证都嵌入在 MCP 链接中。
第三方服务：此技能依赖于 Boring，一个开源社交媒体管理工具。源代码：github.com/snoopyrain。

前提条件

1. 使用 Google 在 boring.aiagent-me.com 注册
通过 OAuth 连接 Threads 账户
获取您的 MCP 链接：前往设置 → 复制您的 MCP 服务器 URL（包含您的身份验证令牌——请像对待密码一样对待它）
添加到 Claude：将 MCP 链接粘贴为连接器——无需安装，无需 API 密钥

可用工具

工具	数据源	最佳用途
boringgetperformance	实时平台 API	账户级概览（浏览量、粉丝数）
boringgetvideo_analytics

工作流程

第 1 步：列出账户

调用 boringlistaccounts 并筛选 threads 平台。

第 2 步：确定用户需求

用户请求	使用的工具
我的 Threads 表现如何？	boringgetperformance
展示我最好的 Threads 帖子

第 3 步：获取数据

账户级表现

boringgetperformance(
account_id=<账户ID>,
platform=threads,
period=week // day、week 或 month
)

单条帖子分析（实时）

boringgetvideo_analytics(
account_id=<账户ID>,
platform=threads,
limit=20 // 最多 100
)

历史帖子表现（快照）

boringgetposts_performance(
account_id=<账户ID>,
since=2025-12-01,
until=2025-12-31,
limit=20
)

第 4 步：呈现结果

清晰格式化数据：

- 账户概览：在摘要表中显示浏览量和粉丝数
帖子分析：按互动量（点赞数 + 回复数 + 转发数）对帖子排序
历史数据：显示随时间变化的趋势

Threads 指标

指标	描述
views	帖子浏览量
likes

错误处理

错误	解决方案
InvalidApiKey	MCP 链接可能无效——在 boring.aiagent-me.com 设置中重新生成
InvalidAccountId

文档

完整 API 文档：boring-doc.aiagent-me.com

threads-analyticsThreads分析