
Agentic Mentions
io.github.pooriaarabPublished by GitHub account pooriaarabv0.1.0Updated Oct 27, 2026
Collect and triage brand mentions and inbound comments.
The publisher's own server: agentic.no
Overview
Local MCP server that ingests supplied brand mentions, deduplicates them, and triages sentiment, intent, urgency and suggested routes.
- What you can do
- Ingest supplied mention records from JSON, webhook payloads or fixtures into an in-memory store
- Triage a single text into sentiment, intent, urgency and a suggested route using fixed English keyword rules
- Review an urgency-sorted queue of unhandled mentions
- Mark a mention handled, previewing by default and only changing state when live is set
- When to use it
- Useful when you already have inbound comments or mention records and want an assistant to deduplicate them, label urgency and intent, and work through a review queue. It is not a social listening service and does not collect mentions itself.
- Requirements
- Node.js 18 or later; runs locally over stdio via npx. No credentials or environment variables are required for local triage.
Installation
In SourceWeft
- Open Agentic Mentions in the dashboard and add it to a workspace.
- Enable the server for the chats that should use its tools.
Desktop only via STDIO. STDIO servers start a local process, so they need the SourceWeft desktop host.
Other MCP clients
Follow the launch instructions in the repository.
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
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.
The JSON result contains intent: "lead", urgency: "medium", and suggestedRoute: "reply".
For a shared queue, keep the store in the same process:
The result has critical urgency and an escalation suggestion. Neither example sends a reply.
How it works
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.
Coverage
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.
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.
Source: README.md at commit dc87ff4
Tools
0Version history
1- v0.1.0LatestOct 15, 2026
Score
50% of the applicable checks met
How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.
- Reached in the last 30 days25 pts
Keep the endpoint answering the MCP handshake; SourceWeft probes it every 30 days.
- Auth declared10 pts
Declare the credential headers in the registry entry, or keep the endpoint answering the probe so its auth can be classified.
- Tools listed15 pts
Answer tools/list without a credential, or ship a package that starts in a sandbox without one.
- DescriptionRequired15 pts
- Logo10 pts
- Documentation15 pts
- License10 pts
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