AI Agents · Model Context Protocol

Talk to Mentionkit

Mentionkit MCP gives your AI client a context-first workflow for finding strong mentions and checking the source before it decides what to do next.

Instead of jumping between tools, your agent can load Mentionkit workflow guidance, shortlist relevant conversations, and inspect the linked pages in one flow.

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Claude ChatGPT Codex
claude — mentionkit-mcp

Claude Code 1.4.2 · connected to mentionkit-mcp

> Pull today’s most popular social mentions for my fintech project. Summarize best mentions over the last week.

I’ll start with the opportunities context, shortlist the best mentions, and inspect the kept links before I summarize anything.

└ mentionkit-mcp::mentionkit_opportunities_context → project, tags, defaults, and 1-5 score guidance loaded

└ mentionkit-mcp::mentionkit_find_opportunities → 12 shortlist rows with source URLs and relevance scores

└ mentionkit-mcp::mentionkit_fetch_url → 4 kept links fetched for verification

Here’s the brief:

Popular mention highlights

Competitor pricing frustration is trending again. Most high-engagement mentions ask for alternatives with faster onboarding and clearer billing.

> Great. Send the top 10 mention links to my growth channel and draft two founder-style replies.

Platform coverage

Ask agents to work across your social channels

Pull mention data from Reddit, X, LinkedIn, TikTok, Bluesky, Hackernews, and YouTube while your MCP workflow stays in one place.

Reddit logoReddit

Track high-intent posts and comments from niche communities.

X logoX

Catch live conversations while buyers ask for recommendations.

LinkedIn logoLinkedIn

Monitor professional threads where teams compare software tools.

TikTok logoTikTok

Track fast-moving creator opinions, search intent, and product comparison clips.

Bluesky logoBluesky

Find early intent threads and engage before conversations cool down.

Hackernews logoHackernews

Find technical discussions around products, alternatives, and stack decisions.

YouTube logoYouTube

Track creator reviews, shorts, and comparison videos with strong buying intent.

Run your mention workflow from one prompt

Connect Mentionkit MCP, start with context, shortlist the best mentions, and turn signal into action while the conversation is still live.

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Mentionkit MCP FAQ

Common questions from teams evaluating MCP for mention tracking and reporting workflows.

What is the Mentionkit MCP server?

Mentionkit MCP server is a remote Model Context Protocol endpoint that lets AI agents read and work with your mention data.

You can load workflow context first, shortlist high-fit mentions, inspect source links, and draft follow-up actions without leaving your agent.

Which AI clients can connect?

Any client that supports remote MCP over HTTP can connect.

Teams usually connect from tools like Claude Code, Cursor, and Codex.

Do I need to install anything locally?

No local package is required.

You only need the MCP endpoint and a bearer token from your Mentionkit workspace.

What can the agent read and write?

Agents can read mentions and run analysis workflows based on your access scope.

The preferred flow is context first, shortlist second, and source-link review before final judgment.

How does auth and scope work?

Authentication uses bearer tokens.

Each token inherits the permissions of the workspace member who created it, so scope is role-based by default.

Is Mentionkit MCP available on all plans?

Yes. MCP access follows the same API availability model across Mentionkit plans.

If your plan can use API access, you can connect MCP with a valid token.
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