Agentic Mentions

io.github.pooriaarab由 GitHub 帳號 pooriaarab 發布v0.1.0更新於 Oct 27, 2026

Collect and triage brand mentions and inbound comments.

發布方自己的服務:agentic.no

概覽

AI 產生的概覽

本機 MCP 伺服器,用來匯入使用者提供的品牌提及紀錄,去重並依情緒、意圖、急迫程度與建議處理路徑分類。

可以做什麼
  • 從 JSON、webhook 酬載或測試資料匯入提及紀錄到記憶體儲存區
  • 依固定英文關鍵字規則,將單一文字判定情緒、意圖、急迫程度與建議路徑
  • 檢視依急迫程度排序的未處理提及佇列
  • 將提及標記為已處理,預設僅預覽,設定 live 後才真正變更狀態
適用情境
適合已擁有進站留言或提及紀錄,想讓助理去重、標註急迫程度與意圖,並逐筆處理審核佇列的情境。它不是社群媒體監聽服務,本身不蒐集提及。
執行需求
需要 Node.js 18 或更新版本,透過 npx 以 stdio 在本機執行。本機分類不需要任何憑證或環境變數。
安裝前請注意
設定 live 時標記已處理會變更狀態,且預設核准回呼直接放行,並非互動式確認。儲存區與成本報告都放在記憶體,每次執行都從空白開始。規則為固定英文關鍵字,可能誤判語境或其他語言。選用的 HTTP 路由會把文字送到你指定的端點,且沒有身分驗證設定;SDK 派送預設即為實際送出,除非設定 dryRun。它本身不會送出回覆。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 Agentic Mentions,將其新增到工作區。
  2. 為需要使用其工具的對話啟用該服務。

Desktop only,透過 STDIO。 STDIO 服務會啟動本機處理程序,因此需要 SourceWeft 桌面主機。

其他 MCP 客戶端

參照 儲存庫 中的啟動說明。

README

agentic-mentions

[npm version] [Downloads/month] [License: MIT]

Quickstart · API and commands · Package

agentic-mentions is an open-source mention triage toolkit for developers who supply inbound comments. It deduplicates records and applies text rules to sentiment, intent, urgency, and suggested routes. A Node.js library, CLI, and Model Context Protocol (MCP) server expose the workflow.

Install

sh
npm install agentic-mentions

Requires Node.js 18 or later. Includes TypeScript declarations and two runtime dependencies.

Triage your first mention

No credentials or environment variables are required for local triage.

sh
npx agentic-mentions mentions triage --text 'Could I get pricing?'

The JSON result contains intent: "lead", urgency: "medium", and suggestedRoute: "reply". For a shared queue, keep the store in the same process:

js
import { createMentionStore, ingestMentions, queueMentions } from 'agentic-mentions';const store = createMentionStore();ingestMentions([{ text: 'Urgent outage problem', source: 'fixture' }], store);console.log(queueMentions(store)[0].triage);

The result has critical urgency and an escalation suggestion. Neither example sends a reply.

How it works

text
Supplied JSON / webhook payload / fixtures                    |              fingerprint deduplication                    |              in-memory mention store                    |              keyword-based triage                    |              urgency queue -> caller reviews -> mark handled

Why it exists

A mention workflow needs record deduplication and handling state alongside text labels. Natural and Sentiment offer text-analysis primitives. This package combines fixed rules with a local queue and agent tools.

Compare

Checked 2026-10-14 against Natural's source and Sentiment's source. These are local text-analysis alternatives, not managed social-listening services.

Scopeagentic-mentionsNaturalSentiment
Main taskMention deduplication and triageNatural language processing primitivesWordlist-based sentiment scoring
DeploymentYour Node.js processYour Node.js processYour Node.js process
ConfigurationMention records and storeJavaScript APIsJavaScript APIs and word labels

Coverage

Input or adapterStatusBehavior
JSON file✓CLI ingestion accepts an array or {items: [...]}
Generic webhook✓SDK parses payloads or fetches JSON from a supplied URL
Fixture mentions✓SDK loads supplied records
Local router✓SDK generates a receipt without external delivery
HTTP router✓SDK posts {text} to a supplied endpoint
Social-network APIs—No brand-specific connector exists

Source inventory contains two mention adapters and two routing adapters. Local tests exercise these paths; no external service credentials are verified. The generic webhook adapter is a parser and fetch client, not a listening HTTP server.

Common use cases

  1. Support developers use Node.js to prioritize supplied complaint records by urgency.
  2. Community teams use a JSON export and the CLI to preview triage labels.
  3. Agent developers use an MCP client to ingest records and review a session queue.
  4. Backend developers use Node.js and a generic JSON endpoint to normalize webhook records.

Features

  • Deduplication: fingerprints use account, author, and normalized text within one store.
  • Triage: rules assign sentiment, five intents, four urgency levels, and three route suggestions.
  • Queue: unhandled records sort by urgency, then creation timestamp.
  • Handling state: the SDK marks records handled; CLI and MCP offer a preview first.
  • Text utilities: SDK exports include statistics, logging, dispatch guards, and routing receipts.

Runtime surfaces

The Node.js SDK exports the mention workflow and core utilities. The package includes TypeScript types.

CLI commands are mentions ingest --file PATH, mentions queue, mentions triage --text TEXT, and mentions handle --id ID. It also supports costs, mcp, --help / -h, and --version / -V. The mentions prefix is optional for the four mention commands. Handling requires --live to change state.

sh
npx agentic-mentions mcp# Equivalent dedicated executable:npx agentic-mentions-mcp

The stdio server exposes exactly four tools: ingest_mentions, triage_mention, mention_queue, and mark_mention_handled. Handling previews by default. Set live: true to mark handled; an injected approval callback can deny the action. The default callback approves. It is not an interactive approval prompt.

The built Worker entry has GET /health and POST /summarize with a JSON text string. It provides text statistics, not mention ingestion. Deploy it yourself; it is not a managed service or a package-root export.

Delivery and behavior limits

Stores and cost reports live in memory. Separate CLI invocations start fresh; an ingest command does not persist a later queue. Rules use fixed English keywords. They do not understand context, sarcasm, or every language. The package suggests reply, ignore, or escalate; it never sends replies or collects social-network mentions automatically. The HTTP router has a default ten-second timeout and no retries or authentication configuration. Dispatch costs count characters as units, not money. Mention ingestion and triage do not record dispatch costs. SDK dispatch is live unless dryRun: true is supplied. Preview before each real dispatch and stop when a guard denies it.

Integration guides

Any publishable content from a downstream AI workflow must include an appropriate AI disclosure.

Status

Version 0.1.0 is early; interfaces can change. Public case studies are not yet published in this repository. Use GitHub issues for support.

FAQ

Does agentic-mentions collect social-network comments?

agentic-mentions accepts records you supply. It has no social-network API connector.

Which integrations are verified?

agentic-mentions has local tests for generic input and routing paths. This rewrite verifies no external service with credentials.

Does agentic-mentions provide a managed listening service?

agentic-mentions runs in your own process. You supply collection, hosting, and persistence.

How is agentic-mentions different from Natural?

agentic-mentions adds mention records, deduplication, and handling state. Natural supplies broader natural language processing primitives.

How is agentic-mentions different from Sentiment?

agentic-mentions uses fixed rules for intent, urgency, and routes. Sentiment calculates wordlist-based sentiment scores.

Does agentic-mentions send replies?

agentic-mentions only suggests routes. Your application decides what happens next.

Does the queue survive a restart?

agentic-mentions keeps its default store in memory. Your application must persist records if it needs restart recovery.

What does the cost report measure?

agentic-mentions counts successful core dispatches and character units. It does not measure currency or charge for triage.

License

MIT.

來源:README.md,提交 dc87ff4

工具

0
SourceWeft 尚未在沙箱中啟動過該軟體包,因此其工具未知。

版本歷史

1
  1. v0.1.0最新Oct 15, 2026

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