Agentic Mentions

Name: Agentic Mentions
Author: pooriaarab

by pooriaarabversion 0.1.0i★ –iRuns on your computer

Registry nameio.github.pooriaarab/agentic-mentions

Install

Overview

Description from the maker (original English)

Collect and triage brand mentions and inbound comments.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Runs on your computer
Transport: stdio
Category: Other

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 1 of 1 passed
Runs on your computer with your user’s permissions (files, network, apps).
The registry lists no key to fill in.

You need

npmNode.js installed (for the npx command)

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "agentic-mentions": {
      "command": "npx",
      "args": [
        "-y",
        "agentic-mentions",
        "mcp"
      ]
    }
  }
}

Run this in your terminal

claude mcp add agentic-mentions -- npx -y agentic-mentions mcp

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "agentic-mentions": {
      "command": "npx",
      "args": [
        "-y",
        "agentic-mentions",
        "mcp"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "agentic-mentions": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "agentic-mentions",
        "mcp"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account pooriaarab, which owns the repo
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
– Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
– Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
… Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Otheri

More stars than 0% of the other 32683 servers in this category
Published to the registry more recently than 62% of the other 32683 servers in this category
Basic checks equal to or better than 100% of the other 32683 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Agentic Mentions safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.1.0) reached the registry 23 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, MCP Server Autocad Lisp Helper

Alternatives

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README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

agentic-mentions

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

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.

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:

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

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.

Scope	agentic-mentions	Natural	Sentiment
Main task	Mention deduplication and triage	Natural language processing primitives	Wordlist-based sentiment scoring
Deployment	Your Node.js process	Your Node.js process	Your Node.js process
Configuration	Mention records and store	JavaScript APIs	JavaScript APIs and word labels

Coverage

Input or adapter	Status	Behavior
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

Support developers use Node.js to prioritize supplied complaint records by urgency.
Community teams use a JSON export and the CLI to preview triage labels.
Agent developers use an MCP client to ingest records and review a session queue.
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.

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

Node.js mention queue example
CLI and MCP command reference
Generic webhook input behavior

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.

Agentic Mentions

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Otheri

Common questions

Alternatives

Spec Driven Development

Remote Desktop Commander

MCP Server Autocad Lisp Helper

README from the maker

agentic-mentions

Install

Triage your first mention

How it works

Why it exists

Compare

Coverage

Common use cases

Features

Runtime surfaces

Equivalent dedicated executable:

Delivery and behavior limits

Integration guides

Status

FAQ

Does agentic-mentions collect social-network comments?

Which integrations are verified?

Does agentic-mentions provide a managed listening service?

How is agentic-mentions different from Natural?

How is agentic-mentions different from Sentiment?

Does agentic-mentions send replies?

Does the queue survive a restart?

What does the cost report measure?

License