3,400+ MCP servers ready to use
Vinkius

Bring Brand Monitoring
to LangChain

Learn how to connect Mention to LangChain and start using 12 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.

Create Monitoring AlertFavorite MentionGet Alert DetailsGet Alert StatisticsGet Mention ContentGet My ProfileList Active WebhooksList Monitoring AlertsList Recent MentionsMark Mention As ReadRemove Monitoring AlertSearch Mentions By Keyword
Use with Your AI Agent
Ask AI about this MCP Server
ChatGPT Claude Perplexity

What is the Mention MCP Server?

Connect your Mention account to any AI agent and manage brand monitoring through natural conversation.

What you can do

  • Brand Monitoring — Track mentions across social media, blogs, and news
  • Alert Management — Create and configure keyword monitoring alerts
  • Sentiment Analysis — Analyze the sentiment (positive/negative) of mentions
  • Social Listening — Browse recent mentions and filter by source or language
  • Competitor Tracking — Monitor competitor share of voice

How it works

1. Subscribe to this server
2. Enter your Mention Access Token and Account ID
3. Start monitoring your brand from Claude, Cursor, or any MCP-compatible client

Who is this for?

  • PR Teams — track media coverage and brand reputation
  • Marketing — monitor campaign hashtags and social engagement
  • Customer Support — identify unhappy customers complaining online

Built-in capabilities (12)

create_monitoring_alert

Add new alert

favorite_mention

Mark as favorite

get_alert_details

Get alert info

get_alert_statistics

Check reach metrics

get_mention_content

Read mention details

get_my_profile

Get account info

list_active_webhooks

Get event configs

list_monitoring_alerts

List your alerts

list_recent_mentions

List findings

mark_mention_as_read

Mark as seen

remove_monitoring_alert

Delete an alert

search_mentions_by_keyword

Find mentions

Why LangChain?

LangChain's ecosystem of 500+ components combines seamlessly with Mention through native MCP adapters. Connect 12 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

  • —

    The largest ecosystem of integrations, chains, and agents. combine Mention MCP tools with 500+ LangChain components

  • —

    Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

  • —

    LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

  • —

    Memory and conversation persistence let agents maintain context across Mention queries for multi-turn workflows

See it in action

Mention in LangChain

AI Agent→Vinkius
High Security·Kill Switch·Plug and Play
Why Vinkius

Mention and 3,400+ other MCP servers. One platform. One governance layer.

Teams that connect Mention to LangChain through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.

3,400+MCP Servers ready
<40msCold start
60%Token savings
Raw MCP
Vinkius
Server catalogFind and host yourself3,400+ managed
InfrastructureSelf-hostedSandboxed V8 isolates
Credential handlingPlaintext in configVault + runtime injection
Data loss preventionNoneConfigurable DLP policies
Kill switchNoneGlobal instant shutdown
Financial circuit breakersNonePer-server limits + alerts
Audit trailNoneEd25519 signed logs
SIEM log streamingNoneSplunk, Datadog, Webhook
HoneytokensNoneCanary alerts on leak
Custom domainsNot applicableDNS challenge verified
GDPR complianceManual effortAutomated purge + export
Use with Your AI Agent View step-by-step setup guide for LangChain →
Enterprise Security

Why teams choose Vinkius for Mention in LangChain

The Mention MCP Server runs on Vinkius-managed infrastructure inside AWS — a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts. All 12 tools execute in hardened sandboxes optimized for native MCP execution.

Your AI agents in LangChain only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

Use with Your AI Agent View full Mention details →
Mention
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

The Vinkius Advantage

How Vinkius secures Mention for LangChain

Every tool call from LangChain to the Mention MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.

< 40msCold start
Ed25519Signed audit chain
60%Token savings
FAQ

Frequently asked questions

01

Can I monitor specific keywords and brands?

Yes. Create alerts with boolean queries to track specific brand names, competitors, or industry hashtags.

02

How does Mention authentication work?

Mention requires both an Access Token (Bearer) and an Account ID against api.mention.net/api/v1.

03

Does Mention provide sentiment analysis?

Yes. Mentions are automatically tagged with positive, negative, or neutral sentiment scores.

04

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

05

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.

06

Can I trace MCP tool calls in LangSmith?

Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.

07

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters