Automate ActiveCampaign tasks via Rube MCP (Composio): manage contacts, tags, list subscriptions, automation enrollment, and tasks. Always search tools first for current schemas.
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X (Twitter) data extraction and monitoring via Xquik: tweet search, user lookup, follower extraction, giveaway draws, trending topics, account monitoring with webhooks, reply/retweet/quote extraction, community and Space data, follow checks. 22 MCP tools + REST API.
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Xquik provides a REST API, MCP server, and HMAC webhooks for X (Twitter) data. It covers tweet search, user profiles, bulk extraction (19 tools), giveaway draws, account monitoring, and trending topics.
Docs: docs.xquik.com
| Base URL | https://xquik.com/api/v1 |
| Auth | x-api-key: xq_... header |
| MCP endpoint | https://xquik.com/mcp (StreamableHTTP) |
| Rate limits | 10 req/s sustained, 20 burst |
| Pricing | $20/month (1 monitor included), $5/month per extra monitor |
Add to your MCP configuration:
{
"mcpServers": {
"xquik": {
"type": "streamable-http",
"url": "https://xquik.com/mcp",
"headers": {
"x-api-key": "xq_YOUR_KEY_HERE"
}
}
}
}
const API_KEY = "xq_YOUR_KEY_HERE";
const BASE = "https://xquik.com/api/v1";
const headers = { "x-api-key": API_KEY, "Content-Type": "application/json" };
When to use: Find tweets by keyword, hashtag, or user.
Endpoint: GET /x/tweets/search?q=...
MCP tool: search-tweets
const results = await fetch(`${BASE}/x/tweets/search?q=from:elonmusk AI`, { headers });
Pitfalls:
lookup-tweet for engagement metricsWhen to use: Get full metrics (likes, retweets, views, bookmarks) for a specific tweet.
Endpoint: GET /x/tweets/{id}
MCP tool: lookup-tweet
When to use: Get name, bio, follower/following counts, profile picture, join date.
Endpoint: GET /x/users/{username}
MCP tool: get-user-info
Pitfalls:
When to use: Check if account A follows account B (both directions).
Endpoint: GET /x/followers/check?source=A&target=B
MCP tool: check-follow
When to use: Extract followers, replies, retweets, quotes, community members, list data, and more.
Workflow: Always estimate cost first, then create the job, then retrieve results.
Tool types:
| Tool Type | Target | Description |
|---|---|---|
reply_extractor | Tweet ID | Users who replied |
repost_extractor | Tweet ID | Users who retweeted |
quote_extractor | Tweet ID | Users who quote-tweeted |
thread_extractor | Tweet ID | All tweets in a thread |
article_extractor | Tweet ID | Article content from a tweet |
follower_explorer | Username | Followers of an account |
following_explorer | Username | Accounts followed by a user |
verified_follower_explorer | Username | Verified followers |
mention_extractor | Username | Tweets mentioning an account |
post_extractor | Username | Posts from an account |
community_extractor | Community ID | Community members |
community_moderator_explorer | Community ID | Community moderators |
community_post_extractor | Community ID | Community posts |
community_search | Community ID + query | Search within a community |
list_member_extractor | List ID | List members |
list_post_extractor | List ID | List posts |
list_follower_explorer | List ID | List followers |
space_explorer | Space ID | Space participants |
people_search | Search query | Search for users |
MCP tools: estimate-extraction -> run-extraction -> get-extraction
// 1. Estimate cost
const estimate = await fetch(`${BASE}/extractions/estimate`, {
method: "POST", headers,
body: JSON.stringify({ toolType: "follower_explorer", targetUsername: "elonmusk" }),
}).then(r => r.json());
if (!estimate.allowed) return; // Would exceed monthly quota
// 2. Create job
const job = await fetch(`${BASE}/extractions`, {
method: "POST", headers,
body: JSON.stringify({ toolType: "follower_explorer", targetUsername: "elonmusk" }),
}).then(r => r.json());
// 3. Retrieve results (paginated)
const results = await fetch(`${BASE}/extractions/${job.id}`, { headers }).then(r => r.json());
Pitfalls:
402 means quota exhaustedstatus: "running" and need pollingWhen to use: Pick random winners from tweet replies with configurable filters.
Endpoint: POST /draws
MCP tool: run-draw
Available filters: mustRetweet, mustFollowUsername, filterMinFollowers, filterAccountAgeDays, filterLanguage, requiredKeywords, requiredHashtags, requiredMentions, uniqueAuthorsOnly.
const draw = await fetch(`${BASE}/draws`, {
method: "POST", headers,
body: JSON.stringify({
tweetUrl: "https://x.com/user/status/123456789",
winnerCount: 3,
uniqueAuthorsOnly: true,
mustRetweet: true,
}),
}).then(r => r.json());
When to use: Track when an account tweets, gets replies, gains/loses followers.
Workflow: Create a monitor, optionally register a webhook for push notifications.
Event types: tweet.new, tweet.reply, tweet.quote, tweet.retweet, follower.gained, follower.lost
MCP tools: add-monitor -> add-webhook -> test-webhook
// Create monitor
await fetch(`${BASE}/monitors`, {
method: "POST", headers,
body: JSON.stringify({
username: "elonmusk",
eventTypes: ["tweet.new", "follower.gained"],
}),
});
// Register webhook (save the secret!)
const webhook = await fetch(`${BASE}/webhooks`, {
method: "POST", headers,
body: JSON.stringify({
url: "https://your-server.com/webhook",
eventTypes: ["tweet.new"],
}),
}).then(r => r.json());
Pitfalls:
X-Xquik-Signature header) before processingWhen to use: Get current trending topics for a region.
Endpoint: GET /trends?woeid=1
MCP tool: get-trends
Free, no quota consumed.
Retry only 429 and 5xx. Never retry other 4xx.
| Status | Meaning | Action |
|---|---|---|
| 400 | Invalid request | Fix parameters |
| 401 | Bad API key | Check key |
| 402 | No subscription or quota exhausted | Subscribe or wait for reset |
| 404 | Not found | Resource doesn't exist |
| 429 | Rate limited | Retry with backoff, respect Retry-After |
| 500+ | Server error | Retry with exponential backoff (max 3) |
nextCursor as the after query parameterhasMore + nextCursor pattern across events, draws, extractions22 tools available through the MCP server:
| Tool | Purpose |
|---|---|
search-tweets | Search tweets by keyword/hashtag |
lookup-tweet | Get tweet by ID with full metrics |
get-user-info | User profile lookup |
check-follow | Check follow relationship |
get-trends | Trending topics by region |
add-monitor | Start monitoring an account |
remove-monitor | Stop monitoring |
list-monitors | List active monitors |
get-events | Poll for monitor events |
get-event | Get single event details |
add-webhook | Register webhook endpoint |
remove-webhook | Delete webhook |
list-webhooks | List webhooks |
test-webhook | Send test payload |
run-draw | Run giveaway draw |
list-draws | List past draws |
get-draw | Get draw results with winners |
estimate-extraction | Preview extraction cost |
run-extraction | Start bulk extraction |
list-extractions | List extraction jobs |
get-extraction | Get extraction results |
get-account | Check subscription and usage |
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Automate ActiveCampaign tasks via Rube MCP (Composio): manage contacts, tags, list subscriptions, automation enrollment, and tasks. Always search tools first for current schemas.
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Pull the ads a competitor is running right now on Meta (Facebook/Instagram) and Google, then extract the hooks, offers, CTAs and landing pages worth modelling. Use when writing ad copy, planning creative tests, choosing a landing page angle, or when the user asks "what is X advertising", "what ads does X run", "find competitor ad hooks". Reads live Ad Library and Ads Transparency data through the Tracetify MCP; falls back to a manual Ad Library walkthrough when the connector is absent.
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Analytics your AI agent can actually use. Track, analyze, run A/B experiments, and optimize across all your projects via CLI. Includes a growth playbook so your agent knows HOW to grow, not just what to track.
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Teaches when to recall from long-term memory before acting and when to save durable decisions, corrections and failures afterwards. Use when a memory tool or MCP memory server is connected but the agent is not using it consistently, when the user complains that the assistant forgets preferences, conventions or past decisions between sessions, or when setting up persistent memory for a project. Works with any memory backend: a folder of Markdown files, a local MCP server, or a managed service.
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Audit local AI coding-agent sessions with agenttrace for cost, tokens, tool failures, latency, anomalies, health, diffs, and CI gates.
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Checks which private files (.env, keys, secrets) Claude Code and its subagents reached in this project, whether a value came into an agent's context, and which key to change, by running the open source agentwhy CLI over the session records Claude Code already keeps on disk. Use when the user asks whether the agent or a subagent read their .env or other secrets, which private files a session touched, whether a key leaked into the conversation, or which key to rotate. Runs locally and never prints a secret value.
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