Twitter/X MCP Server

Monitor Twitter With MCP Server

Stop context-switching between your work environment and Twitter. Use Octolens MCP Server to get AI-filtered Twitter mentions directly in Claude Desktop, Cursor, and ChatGPT.

5-minute setup • No Twitter API key needed

Loved by 1000+ SaaS & Developer Brands

Metabase logoVercel logoPosthog logoAppSumo logobrowser-use logoMedusa logoTally.so logoPrisma logoReflex logoJuicebox logo
Metabase logoVercel logoPosthog logoAppSumo logobrowser-use logoMedusa logoTally.so logoPrisma logoReflex logoJuicebox logo

Why Monitor Twitter with MCP?

Twitter is where technical discussions happen in real-time. For B2B SaaS companies, Twitter mentions often signal product feedback, buying intent, or customer support issues. But manually checking Twitter while shipping code is a context-switching nightmare.

Octolens Model Context Protocol (MCP) solves this by bringing Twitter monitoring directly into your workflow. Instead of constantly checking Twitter in a browser tab, you can use Octolens MCP Server to now ask Claude, Cursor, or ChatGPT to show you mentions - pre-filtered by AI and actionable.

Track competitor conversations and brand mentions

Monitor competitor and brand mentions and join conversations before they do

Respond to Twitter mentions in minutes, not hours

Catch important mentions without context-switching

AI filters the noise

Bots and irrelevant tweets are automatically filtered.

Spot feature requests early

Find tweets where people ask for features you're building or could build

No Twitter API headaches

Octolens handles the Twitter API - you just configure keywords

How Twitter MCP Monitoring Works

1

Octolens continously monitors Twitter for new mentions based on your configured keywords.

2

Octolens analyzes and filters all mentions (relevance, sentiment, engagement).

3

You ask your favorite AI assistant: "Sum up the most important Twitter mentions from today"

4

Your AI assistant formats the response - ready to act on

What Makes Octolens The Leading Twitter MCP Server

AI filters noise automatically

Only high-signal mentions reach you—spam and bots are filtered out

Engagement data included

See engagement data like follower count to assess relevance

Sentiment analysis built-in

Know immediately if a mention is positive, negative, or neutral

Historical data

Octolens tracks historical data for you - you can see trends over time, not just recent mentions

No Twitter API quota headaches

We handle Twitter API access and rate limits for you

Multi-platform (not just Twitter)

Same MCP server works for Reddit, LinkedIn, HN, and many other platforms

Setup Twitter MCP Server

Get Twitter monitoring in 5 minutes. No Twitter API key needed.

Prerequisites

Note: No Twitter API key needed—Octolens handles that.

1

Configure Twitter Keywords in Octolens

  1. Log into Octolens
  2. Add your keywords:
  • Your product name
  • Common misspellings
  • Your Twitter handle (@YourCompany)
  • Your competitors' names and handles

Pro tip: Add negative keywords to filter noise. For example, if your product is called "Bolt", exclude "Usain Bolt" and "lightning bolt".

2

Get API Key

  1. In Octolens, navigate to Settings → MCP
  2. Click "Generate New Key"
  3. Copy the key and save it securely

Security reminder: Keep your API key private. Don't commit it to git or share it publicly.

3

Connect Octolens MCP Server

Choose your tool:

1. Run this command

Replace YOUR_API_KEY with your Octolens API key

claude mcp add octolens \
  --transport sse \
  "https://app.octolens.com/api/mcp?token=YOUR_API_KEY"

2. Verify the connection

Inside Claude Code, run the /mcp command:

/mcp

⎿ MCP Server Status
  • octolens: connected

Scope options: Add --scope user to make it available across all projects, or --scope project to share with your team via .mcp.json

4

Test Connection

In your IDE, type:

@octolens list my keywords

You should see your configured keywords.

Then try:

@octolens show twitter mentions from today

You should see recent Twitter mentions (if any exist for your keywords).

Troubleshooting

Check that you have the correct MCP server URL with your API token. Make sure you've completely restarted your tool (not just reloaded). Verify your internet connection is working.

Verify your API key has no extra spaces or line breaks. Check that the key hasn't expired in your Octolens dashboard (Settings → MCP). Make sure you replaced YOUR_API_KEY with your actual key in the configuration.

Keywords may need 24 hours to index initially. Try a common keyword like your product name. Check that the keyword is enabled for Twitter in your Octolens dashboard. Verify you have Twitter mentions in your Octolens web dashboard first.

Check your firewall settings to ensure outbound connections to app.octolens.com are allowed. If you're behind a corporate proxy, you may need to configure proxy settings for your tool.

Make sure you're using a compatible version of your tool (Claude Desktop, Cursor, ChatGPT, etc.). Check the tool's documentation for MCP support. Restart the tool completely after adding the configuration.

10 Ways to Use Twitter MCP Monitoring

Real prompts you can copy-paste into Claude, Cursor, or VS Code

1. Morning Mention Digest

Prompt:

Show me Twitter mentions from the last 24 hours, sorted by engagement

What Claude returns:

Found 12 mentions in the last 24 hours:

High engagement:
• @developer_mike: "Just switched to Octolens, loving the API!"
  📊 47 likes, 8 retweets, 12 replies
  🔗 https://twitter.com/developer_mike/status/...

• @techcrunch_reader: "Octolens pricing seems high for small teams"
  📊 23 likes, 3 retweets, 15 replies
  🔗 https://twitter.com/techcrunch_reader/status/...

Medium engagement:
• @indie_hacker: "Monitoring Twitter with Octolens MCP is 🔥"
  📊 8 likes, 2 retweets, 1 reply
  🔗 https://twitter.com/indie_hacker/status/...

[... 9 more mentions]

Why this matters: Start your day knowing exactly what's happening on Twitter without doom-scrolling. Focus on high-engagement mentions first.

2. Viral Thread Detection

Prompt:

Alert me if any tweet about Octolens gets 100+ likes in the last hour

What Claude returns:

🚨 VIRAL ALERT: 1 tweet trending now

@ProductHuntDaily: "Octolens is trending on Product Hunt today! 
Real-time brand monitoring that actually works."
📊 142 likes, 28 retweets, 19 replies (in 45 minutes)
🔗 https://twitter.com/ProductHuntDaily/status/...

Sentiment: Positive
Thread has 8 replies discussing features and pricing.

Why this matters: Catch viral moments early so you can engage while the conversation is hot. Don't miss opportunities to ride the wave.

3. Customer Support Triage

Prompt:

Show negative mentions about billing or errors from the last 6 hours

What Claude returns:

Found 3 negative mentions needing attention:

⚠️ URGENT:
• @frustrated_dev: "Octolens billing charged me twice this month"
  📊 2 likes, 0 retweets, 0 replies (posted 2 hours ago)
  🔗 https://twitter.com/frustrated_dev/status/...

• @startup_founder: "Getting 500 errors from Octolens API"
  📊 5 likes, 1 retweet, 3 replies (posted 4 hours ago)
  🔗 https://twitter.com/startup_founder/status/...

All mentions flagged for immediate response.

Why this matters: Find and fix customer issues before they escalate. Responding quickly on Twitter turns frustrated users into advocates.

4. Competitive Intelligence

Prompt:

Compare mentions of Octolens vs Brand24 this week

What Claude returns:

📊 Competitive Analysis (Last 7 Days)

Octolens: 34 mentions
• Sentiment: 76% positive, 18% neutral, 6% negative
• Most discussed: MCP integration, API quality, pricing
• Influencer mentions: 3 (10k+ followers)

Brand24: 28 mentions
• Sentiment: 64% positive, 25% neutral, 11% negative
• Most discussed: Dashboard, alerts, customer support
• Influencer mentions: 2 (10k+ followers)

Key insights:
- Octolens getting more developer-focused mentions
- Brand24 mentioned for social media managers
- Your MCP feature is a unique differentiator

Why this matters: Understand your competitive positioning and identify opportunities to join conversations where prospects compare options.

5. Influencer Engagement

Prompt:

Show tweets from accounts with 10k+ followers mentioning Octolens

What Claude returns:

Found 4 influencer mentions:

🌟 @dev_influencer (47k followers):
"Been using Octolens for 2 weeks. Game changer for brand monitoring."
📊 189 likes, 23 retweets, 31 replies
🔗 https://twitter.com/dev_influencer/status/...

🌟 @saas_expert (28k followers):
"If you're building B2B SaaS, you need to monitor Twitter. Octolens makes it easy."
📊 92 likes, 12 retweets, 8 replies
🔗 https://twitter.com/saas_expert/status/...

[... 2 more influencers]

Why this matters: Prioritize engagement with high-reach accounts. A single response to an influencer can reach thousands of potential customers.

6. Feature Request Tracking

Prompt:

Find tweets where people say "wish Octolens had" or "Octolens needs"

What Claude returns:

Found 7 feature requests:

💡 Top requests:
1. Slack threads integration (mentioned 3 times)
   Latest: @dev_user "Wish Octolens could monitor Slack threads too"
   
2. Export to Notion (mentioned 2 times)
   Latest: @productivity_fan "Octolens needs Notion integration"
   
3. Discord monitoring (mentioned 2 times)
   Latest: @community_mgr "Would love Discord support in Octolens"

All tweets include links and sentiment analysis.

Why this matters: Discover what features your market actually wants. Validate your roadmap with real user requests before building.

7. Launch Monitoring

Prompt:

Track all mentions of our Product Hunt launch from today

What Claude returns:

📈 Product Hunt Launch Tracking (Today)

Total mentions: 47
Unique users: 41
Sentiment breakdown: 85% positive, 12% neutral, 3% negative

Top performing tweets:
• @launch_tracker: "Octolens is #3 on Product Hunt!" (127 likes)
• @indie_makers: "Congrats on the launch!" (84 likes)
• @dev_community: "Finally, Twitter monitoring for devs" (62 likes)

Questions asked (need response):
• "How is this different from Brand24?" (3 people asked)
• "Does it work with Bluesky?" (2 people asked)
• "What's the pricing?" (5 people asked)

Why this matters: Monitor launch momentum in real-time. Answer common questions as they come up to maximize conversion from launch traffic.

8. Brand Sentiment Trends

Prompt:

Show sentiment trend for Octolens over the last month

What Claude returns:

📊 Sentiment Trend (Last 30 Days)

Week 1: 72% positive, 21% neutral, 7% negative (38 mentions)
Week 2: 78% positive, 18% neutral, 4% negative (45 mentions)
Week 3: 81% positive, 15% neutral, 4% negative (52 mentions)
Week 4: 85% positive, 12% neutral, 3% negative (61 mentions)

📈 Trend: +13% positive sentiment (improving)
💬 Total mentions: 196 (↑ 61% vs previous month)

Most positive topics: MCP integration, API reliability
Most negative topics: Pricing for small teams

Recent sentiment improvers:
• Added Cursor support (+24 positive mentions)
• New pricing tier announced (+18 positive mentions)

Why this matters: Track how product changes and announcements impact brand perception. Identify what's working and what needs attention.

9. Response Drafting

Prompt:

Draft a reply to this tweet: "@startup_ceo: Still looking for a good Twitter monitoring tool that works with Claude Desktop"

What Claude returns:

Suggested reply:

"Hey! Octolens does exactly this via MCP. Monitor Twitter directly in Claude Desktop—setup takes 10 minutes.

We built it specifically for developers who don't want to context-switch.

Free trial: https://octolens.com/twitter-mcp

Happy to answer any questions!"

---

Alternative (more technical):

"Check out Octolens MCP. Twitter monitoring directly in Claude Desktop via Model Context Protocol.

Setup guide: https://octolens.com/twitter-mcp
GitHub: https://github.com/octolens/mcp

Works with Cursor and VS Code too."

Why this matters: Get AI-powered reply suggestions that match your brand voice. Engage faster without sacrificing quality or authenticity.

10. Weekly Report

Prompt:

Create a summary of this week's Twitter activity for Octolens with key highlights

What Claude returns:

📊 Weekly Twitter Report (Nov 18-24, 2024)

Overview:
• Total mentions: 68 (↑ 24% vs last week)
• Unique users: 59
• Overall sentiment: 83% positive

🔥 Highlights:
1. MCP integration announcement got 142 likes
2. Featured in @ProductHuntDaily tweet (28k reach)
3. 3 influencers (10k+ followers) mentioned us organically

💡 Top Topics Discussed:
• MCP/Claude Desktop integration (31 mentions)
• Pricing and plans (18 mentions)
• Comparison to Brand24 (12 mentions)

⚠️ Issues Raised:
• 2 billing questions (both resolved)
• 1 API error report (fixed within 2 hours)

🎯 Opportunities:
• 7 people asking for Discord monitoring (potential feature)
• 5 competitors mentioned alongside us (join conversations?)

Top performing content:
• Tweet about new Cursor support (47 engagements)
• Customer testimonial from @prisma (89 engagements)

Why this matters: Get a bird's-eye view of Twitter activity without manually reading hundreds of tweets. Share insights with your team.

Try These Prompts Yourself

7-day free trial • No credit card required

Best Practices for Twitter MCP Monitoring

Get high-signal results without the noise

1. Filter by Engagement Threshold

Twitter has a LOT of noise. Use engagement filters to focus on tweets that actually matter.

Example prompt:

Only show tweets from authors with 1k+ followers

This filters out low-quality mentions.

Why this works: A tweet with 0 engagement might be spam. A tweet with 50+ likes is a real conversation worth joining. Focus your time on high-impact mentions.

2. Track Threads, Not Just Tweets

Enable thread tracking to see the full context of conversations about your brand.

Example prompt:

Show me the full Twitter thread where someone mentioned Octolens

Context matters—a negative mention might be clarified later in the thread.

Example scenario:

Tweet 1: "Octolens is broken, can't log in"

Tweet 2 (same thread): "Nevermind, figured it out. Browser cache issue."

Without thread tracking, you'd only see the negative tweet and might respond unnecessarily.

Pro tip: Threads reveal sentiment evolution. Someone might start skeptical and end up convinced after reading replies. Read the full thread before jumping in.

3. Monitor @Mentions Separately

Track your Twitter handle separately from your product name for better prioritization.

Keywords to set up in Octolens:

  • "Octolens" (product name - generic mentions)
  • "@OctolensHQ" (Twitter handle - direct mentions/tags)

Direct @mentions usually need faster response time than generic product mentions.

Filter by urgency:

Show @mentions from the last 2 hours (urgent)
Show generic "Octolens" mentions from today (less urgent)

Response time matters: Research shows responding to Twitter @mentions within 1 hour increases customer satisfaction by 40%. Treat @mentions as priority.

4. Use Negative Keywords Aggressively

Common false positives on Twitter waste your time. Filter them out with negative keywords in Octolens.

Common false positive patterns:

  • Same word used in different context (e.g., "Prisma" database vs "Prisma" app)
  • Spam accounts repeating your keyword
  • Unrelated hashtags that happen to include your name
  • Bot accounts

Example setup:

If your product is "Bolt" (payment company):

Positive keyword: "Bolt"

Negative keywords:

  • "Usain Bolt"
  • "lightning bolt"
  • "bolt cutter"
  • "bolt action"
  • "bolt from the blue"

Configure in Octolens dashboard:

  1. Go to Keywords → [Your Keyword] → Edit
  2. Scroll to "Negative Keywords" section
  3. Add phrases to exclude (one per line)
  4. Save and wait 10 minutes for filters to apply

Time saver: Spending 15 minutes setting up negative keywords can save you hours of filtering irrelevant mentions. Review your mentions weekly and add new negative keywords as patterns emerge.

Ready to implement Twitter MCP best practices?

Start your 7-day free trial and configure your Twitter monitoring in 5 minutes.

Get Started Free

Octolens vs Other Twitter MCP Solutions

Why teams choose Octolens for Twitter monitoring via MCP

FeatureOctolens MCPGeneric Twitter MCPTwitter API Direct
Setup time5 minutes⚠️ 30+ minutes❌ 2+ hours
AI relevance filteringBuilt-in❌ Manual❌ You build it
Sentiment analysisAutomatic❌ You build it❌ You build it
Historical dataUnlimited⚠️ Limited❌ 7 days (free tier)
Engagement filteringYes⚠️ Basic⚠️ Complex queries
Multi-platform11 platforms❌ Twitter only❌ Twitter only
Rate limitsNo limits (paid)⚠️ You manage❌ Strict limits
Twitter API key neededNo (we handle it)❌ Yes❌ Yes
Cost$149/monthYour time + Twitter API costs ($200+/month)$200+/month

Best for: Octolens

Teams that want a turnkey solution with AI filtering, sentiment analysis, and multi-platform monitoring. Setup in 10 minutes, not 10 hours.

Best for: Generic MCP

Developers who want full control and are willing to build their own filtering, sentiment analysis, and data pipelines. Good for learning MCP.

Best for: Twitter API

Companies with existing Twitter integrations or very specific use cases that require direct API access. Requires significant development time.

Most teams choose Octolens because setup is 5 minutes instead of hours, and the AI filtering actually works. Generic Twitter MCP servers give you raw data—Octolens gives you insights.

Try Octolens Free for 7 Days

No credit card required • Cancel anytime

Loved by 1000s of founders, marketing, and dev-facing teams

Anna Redbond
Anna Redbond
Head of Marketing, Flagsmith
There's few tools I'd put my name to, Octolens is one of them - it's worth trying
Igor Lamos
Igor Lamos
Founder, beplus.cloud
Subscribed and already getting relevant posts. Onboarding is simple, I was able to get up & running in few minutes.
Mike Choi
Mike Choi
Founder, South Park Commons
Great product! Super useful if you want to know what your customers/competitors are talking about your product. You could do this manually but the amount of time/brain cycles you save from this product is definitely worth it 👍
Guillermo Rauch
Guillermo Rauch
CEO, Vercel
Wild AI-native onboarding experience. I literally entered zero input other than `vercel⁠.com` 🫨
Robin Guldener
Robin Guldener
Co-Founder, Nango (YC W23)
Octolens is very helpful for us to find relevant conversations in social media for our open-source product. Would not want to miss this in my toolchain anymore!
Leonard Püttmann
Leonard Püttmann
Developer Relations, Kern AI
At Kern AI, we use Octolens daily. It's a fantastic tool to engage with your community and find content quickly.
Matija Sosic
Matija Sosic
Co-Founder, Wasp (YC W21)
This is a really helpful tool for every community builder!
Alex Harris
Alex Harris
Founder, Adadot
Here at Adadot we have a daily power-hour during which we use Octolens to surface any community content with commenting on or sharing. Great tool!
Hakim Elakhrass
Hakim Elakhrass
Co-founder, NannyML
All of our content writers also use Octolens to find relevant mentions to comment on.
Felix Magedanz
Felix Magedanz
Founder, Hanko
A happy customer since day 1. Octolens helps us keep up with the chatter on all relevant platforms.
David Paffenholz
David Paffenholz
CEO & Co-Founder, Juicebox (YC S22)
Octolens is part of my daily routine. I save hours a week checking socials for important conversations about PeopleGPT.
Mahmoud Mabrouk
Mahmoud Mabrouk
Co-founder, Agenta
I've been using Octolens for a couple of months, and it is really helpful. The AI feature to filter the mentions to the ones relevant to you is very useful and spares me lots of times looking into hundreds of irrelevant posts.
George Novik
George Novik
Founder, Zerocoder
Octolens is a game changer for DevTool companies! It's great to see a tool that prioritizes genuine engagement over traditional marketing tactics.
Johannes Hötter
Johannes Hötter
Co-Founder, Kern AI
Octolens allows us to find relevant discussions outside of our own spectrum. It's literally scanning all relevant platforms, and then suggesting where we need to engage with developers to have a high chance to attract new engaged users.

Brand Monitoring With Fair Pricing

Pay MonthlyPay AnnuallySave up to 34%

Pro

$99/month

  • Everything in Basic, and:
  • 20,000 mentions
  • 10 keywords
  • 1-year data history
  • Hourly alerts
  • MCP server & Webhooks
  • AI relevance scoring

For growing brands like

JuiceboxTally
Popular

Scale

$299/month

  • Everything in Pro, and:
  • 50,000 mentions
  • 15 keywords
  • Unlimited data history
  • Real-time alerts
  • Full API access
  • AI summaries

For well-known brands like

PostHogPrisma

Enterprise

Custom

  • Everything in Scale, and:
  • Multiple workspaces
  • Unlimited mentions
  • Unlimited keywords
  • Custom AI agents

For viral brands like

Vercel

Frequently Asked Questions

Everything you need to know about Twitter monitoring via MCP

No. Octolens handles Twitter API access for you. You just need an Octolens API key (which you can generate in your dashboard). This saves you from dealing with Twitter API applications, rate limits, and billing.

Currently read-only for safety. You can monitor and analyze Twitter mentions via MCP, and draft responses in Claude, but you'll need to post manually on Twitter. This prevents accidental automated posting that could violate Twitter's terms of service.

Depends on your plan: Real-time on Scale+ plan ($399/mo), hourly on Pro plan ($149/mo), daily on Starter ($89/mo). Most teams find hourly updates sufficient for Twitter monitoring. If you need real-time alerts, upgrade to Scale+.

Yes. Set up keywords for competitor names and handles in your Octolens dashboard. You'll see when they're mentioned alongside your brand, helping you understand competitive positioning and join relevant conversations.

Octolens API has no rate limits on paid plans. Free trial includes 3,000 mentions/month across all platforms. If you need more, upgrade to Pro (10,000 mentions/mo) or Scale+ (unlimited mentions).

Yes, same platform. We call it 'Twitter' in documentation because that's what most people search for, but Octolens monitors X (formerly Twitter) in real-time. All features work the same regardless of branding.

Yes. You can filter by follower count directly in MCP prompts. Ask Claude to 'show only mentions from accounts with 10k+ followers' and it will filter the results for you.

Data collection starts when you set up Octolens and data is stored for as long as you have an account. Historical data lets you analyze trends over time, track sentiment changes, and find older mentions you might have missed.

Setup Twitter MCP Today

Join 1000+ B2B SaaS companies using Octolens for brand monitoring

Real-time monitoring

Get Twitter mentions directly in Claude Desktop, Cursor, or VS Code

AI-filtered mentions

Only see high-signal mentions—no spam or noise

10-minute setup

No Twitter API key needed—we handle everything

No credit card required • Setup in 10 minutes • Cancel anytime