Agent-Ready
A social listening MCP server for AI agents.
SnitchFeed's native MCP server gives Claude, ChatGPT, Cursor, and Windsurf 24 tools to read mentions, manage listeners, and run analytics across Reddit, X, LinkedIn, and Bluesky. One-time OAuth login, no API keys to manage, included on every plan.
Super easy setup and UI. Actually delivers on what it promises to do.
One minute setup
If you can paste a link, you can set this up
Nothing to install, no code to write, no API keys to manage. Paste one link into your AI app, log in with your SnitchFeed account, and it stays connected from then on.
Server URL
https://api.snitchfeed.com/mcpPaste this into Claude under Settings → Connectors, into ChatGPT, Cursor, or any AI app that supports connectors. Step-by-step guides for each app are in the docs.
Claude Code
claude mcp add SnitchFeed --transport http https://api.snitchfeed.com/mcpUsing Claude Code? One command connects it. Your browser opens a SnitchFeed login the first time, then it just works.
What you can ask
You ask for the outcome. Your assistant handles the rest.
No filters to learn, no query builder, no dashboard tour. Ask the way you would ask a teammate, and your assistant figures out how to get the answer from your data.
- “Show me this week's buying-intent mentions, best fits first”
- “Draft a helpful reply to each of the top five opportunities”
- “Save this as a feed so I can check it every morning”
- “Summarize this month's competitor complaints, with links”
- “Which competitor is getting the most negative sentiment, and why?”
- “Where do frustrated users of our competitors post the most?”
- “Write my Monday report: volume, sentiment, top opportunities”
- “How did mention volume trend last month, by platform?”
- “Cluster this month's feature requests into themes”
- “Start monitoring our new product name on Reddit and LinkedIn”
- “Our feed feels noisy, which keywords should we tighten?”
- “Check our usage before I add three new keywords”
How it works
From a question to answers from your market
- 01
Connect once
Paste the link into your AI app and log in with your browser. That's the whole setup: nothing to install, nothing to maintain, and it stays connected.
- 02
Ask like you'd ask a teammate
Type what you want in plain English: "show me competitor complaints this week" or "start monitoring our new product name".
- 03
Your assistant does the digging
It searches your mentions, runs the numbers, and sets up monitoring for you, combining as many steps as the job takes so you don't have to.
- 04
Every answer is backed by real posts
Summaries link to the original conversations, numbers match your dashboard, and anything your assistant creates, like feeds and reports, shows up in SnitchFeed instantly.
What it can do
Everything the dashboard does, now on demand
Your assistant can do anything you can do in SnitchFeed: read mentions, tune monitoring, build feeds, and run reports. Anything that deletes data still asks you first.
Triage your feed by asking
Ask for exactly the mentions you care about: the right platform, timeframe, sentiment, and buying intent, without touching a single filter.
Tune monitoring in plain English
Add keywords, retire noisy ones, or start tracking a new product by describing what you want to watch. History fills in automatically, so results show up right away.
Build saved views by asking
Describe the view you want, like "competitor complaints from unhappy customers", and it appears in your SnitchFeed dashboard as a saved feed.
Reports without the busywork
Ask how mentions trended, which platform drives the most buying intent, or how sentiment shifted. Save any answer as a report that lives in your dashboard.
It knows your business
Your assistant can pull your brand context and current plan usage before it acts, so answers fit your product and everything stays inside your limits.
Want the details?
Every capability is documented in the docs, along with setup guides for each AI app. Useful if you're curious, never required.
X (Twitter)
An MCP server for X (Twitter) data
Your assistant can search X mentions, test Twitter queries before you commit to them, and run analytics on X conversations, all through SnitchFeed's MCP tools like list_mentions, test_twitter_query, and query_analytics filtered to the X platform. No Twitter API keys to request or manage, SnitchFeed handles the data layer. The same connection covers LinkedIn, Reddit, and Bluesky too, so X is one platform among several your assistant can already query.
Your mentions, wherever your AI already is.
Sign up, paste one link into your AI app, and ask your first question.
Start 7-Day Free TrialWho it is for
Built for the way you already work
A prospecting queue you can talk to
- Ask for the week's warmest leads instead of scanning a feed
- Get thread summaries with links, then draft replies in the same chat
- Turn a good question into a saved feed you check every morning
Content ideas from real customer language
- Cluster questions and complaints into blog post briefs
- Pull the exact phrasing buyers use for landing page copy
- Build weekly trend reports that cite the actual posts
Live discovery data in your research chat
- Summarize feature requests from the last quarter by theme
- Ask follow-up questions and keep narrowing the same dataset
- Compare pain points across Reddit, LinkedIn, X, and Bluesky
FAQ
Common questions about MCP
Still have questions? Reach out at hello@snitchfeed.com
Still have questions? Reach out at hello@snitchfeed.com
Your next customer is in a thread somewhere.
Connect SnitchFeed to the AI assistant you already use and ask it to find them.