Skip to content
ANY//
Anysite Blog· 7 min read

Build AI Agents with Make.com and Anysite MCP: Flat-Rate Social Data from $30/Month

IntegrationsMCPAI AgentsGuides

Make.com's AI Agents feature gives you autonomous agents that can reason and act on your behalf. Anysite MCP gives those agents live access to business data, Instagram, Twitter/X, Reddit, and any public URL — on a flat monthly plan that starts at $30, with no per-request meter to watch. Together they make data-driven agent workflows practical to run on a schedule.

What Are Make AI Agents?

Make AI Agents is a specific feature within Make.com—distinct from regular scenarios—designed for building autonomous AI agents. Instead of manually configuring workflow steps, you define agent behavior through natural language system prompts.

Key differences from regular Make scenarios:

Regular Make ScenariosMake AI Agents
You define exact stepsAgent decides steps
Fixed workflow pathsDynamic tool selection
Manual error handlingAutonomous problem-solving
Requires workflow knowledgeNatural language configuration

How it works:

  1. You configure the agent's goal via system prompt
  2. Connect MCP servers (like Anysite) to give agents tools
  3. Set triggers (schedule, webhook, event)
  4. Agent autonomously selects and executes MCP tools
  5. Agent handles multi-step workflows intelligently

With native MCP support, Make AI Agents connect straight to the Anysite MCP server. The agent receives a request like “enrich this lead” and works out which calls to make on its own.

Five Tools, Not One Per Endpoint

An earlier version of the Anysite MCP server exposed a separate tool for every endpoint — dozens of them, all loaded into the agent's context before it had done any work. The current server does the opposite. It exposes five meta-tools, and the whole catalog sits behind them:

  • discover — find the right endpoint for a request across 400+ sources
  • execute — run it and get typed JSON back
  • get_page — parse any URL that has no ready-made endpoint yet
  • query_cache — filter, sort, and aggregate the cached result set on the server
  • export_data — hand results off as JSON, CSV, or JSONL

For a Make agent this matters more than it sounds. A long tool list eats context before the agent starts, and it goes stale the moment a new source ships. Five tools stay small, and discover always reads the current catalog — new sources appear without you touching the connection.

Why a Flat Plan Changes What an Agent Can Do

Metered data access forces a design decision into every agent you build: how many lookups is this run allowed to make? You end up trimming the agent's reach to protect a budget line, then re-tuning it every time volume moves.

Anysite's MCP plans are flat monthly — MCP at $30, MCP x5 at $99, MCP x15 at $199 — and none of them bill per request. You pick a tier for the kind of work your agents do, not for how many records you touched this month. Throughput is fair-use: each plan has capacity, and if an agent reaches it, it's told so right in the conversation and picks up again shortly after. Seeing that regularly is the signal to move up a tier, and upgrades apply instantly.

The practical effect in Make: an agent can make a lookup because its goal calls for it, not because you pre-approved the lookup.

What You Can Build

Autonomous Lead Enrichment Agent

Set up a Make AI Agent with a goal like “Enrich new CRM leads with business data and recent social activity”:

The agent autonomously:

  1. Monitors for new CRM records
  2. Finds the person's business profile
  3. Extracts employment history, skills, and current role
  4. Pulls their recent Twitter/X activity and posts
  5. Adds the company record behind the profile
  6. Scores the lead from what came back
  7. Updates the CRM with the enriched fields
  8. Routes high-value leads to the sales team

The agent decides which calls to make and in what sequence. You define the goal, the agent figures out the execution.

Competitive Intelligence Monitor

Create an agent with the goal: “Monitor competitors daily and alert on significant changes”

The agent runs on schedule (e.g., daily at 9 AM) and autonomously:

  1. Identifies the relevant competitor profiles
  2. Watches company pages for updates and hiring activity
  3. Extracts new posts and engagement data
  4. Pulls competitor Instagram activity
  5. Searches Twitter/X for brand mentions
  6. Scans Reddit for product discussions
  7. Analyzes changes since the last check
  8. Summarizes insights
  9. Sends a Slack alert if something significant moved

A run like this touches several sources and many records. On a flat MCP plan that's a scheduling decision, not a budgeting one.

Social Listening Agent

Give your agent the goal: “Monitor social conversations about [product/topic] and alert on high-priority mentions”

The agent autonomously:

  1. Searches Twitter/X for keyword mentions
  2. Extracts full threads with their context
  3. Finds related posts on business pages
  4. Pulls relevant Reddit discussions
  5. Analyzes sentiment (positive/negative/neutral)
  6. Identifies high-priority conversations
  7. Alerts the customer success team
  8. Logs data for trend analysis

Make AI Agents run on triggers — schedule, webhook, or event — so the logic runs without you.

Off-the-shelf listening tools hand you their dashboard and their definition of a mention. Building the agent yourself means you decide what counts as high-priority, how sentiment is judged, and where the alert lands.

How to Connect Anysite MCP to Make AI Agents

Make AI Agents has native MCP support. Connection takes about 2 minutes.

Setup Process

Step 1: Get Your Direct URL

Log into app.anysite.io and navigate to the MCP Server section. Copy your Direct URL—it looks like:

https://mcp.anysite.io/mcp?api_key=YOUR_KEY

This URL includes authentication, so keep it private.

Step 2: Add MCP Server in Make AI Agents

  1. In Make.com, navigate to your AI Agents interface
  2. Go to the MCP section
  3. Click “+ Add” → “New MCP server”
  4. Paste your Direct URL
  5. Save the connection

Make will detect the five Anysite tools automatically.

Step 3: Configure Your Agent

Create a new AI Agent and configure its behavior via the system prompt. Example:

You are a competitive intelligence agent. Monitor competitor activity across business data, Twitter/X, Instagram, and Reddit. Extract new posts, analyze engagement, and alert on significant changes.

You have access to Anysite MCP tools for data extraction. Use them to gather the data you need.

The agent will select the right calls based on its goals.

Full setup guide: Make.com setup in the Anysite docs

How Make AI Agents Uses MCP

Make AI Agents speak to MCP servers in natural language. The agent takes your goal, picks the calls it needs, and runs them.

Writing it out by hand:

// You write every call explicitly
const profile = await api.getProfile(url);
const company = await api.getCompany(profile.companyId);
const posts   = await api.searchPosts(profile.handle);
// then combine and analyze it yourself

Make AI Agent + MCP:

System prompt: "Enrich this lead with business data and recent social activity"

The agent:
1. Calls discover to find the profile endpoint
2. Calls execute to fetch the profile, then the company behind it
3. Searches recent posts for the same person
4. Narrows the result set with query_cache
5. Returns typed JSON

You define the goal. The agent works out which calls to make, in what order, and how to combine the results.

For agent builders, that means you focus on what you want accomplished, not how to accomplish it. The MCP layer handles endpoint discovery, pagination, and response shape.

Which Plan Covers What

MCP plans are flat monthly and cover the Anysite MCP server:

  • MCP — $30/month. Everyday research: prospecting, market checks, lookups while you work.
  • MCP x5 — $99/month. For agents that work all day — enrichment runs, monitoring, long sessions.
  • MCP x15 — $199/month. The largest plan, for heavy multi-source workflows that run all month.

Every tier includes all five tools, every source in the catalog, and the Person Analyzer and Competitor Analyzer skills. Tiers differ in headroom, not in features. Each starts with a 7-day free trial with full plan access.

What an MCP plan does not include. It reaches the MCP server and nothing else. That covers Make AI Agents, Claude Desktop, Claude Code, Cursor, n8n, and any other MCP client — but not the REST API and not the CLI. If you also want to call Anysite from your own backend or drive it from a terminal, that's the API line: credit-billed, from $49/month, where a single key reaches REST, CLI, and MCP alike. An API key works with the MCP server too, billed in credits rather than covered by a flat plan.

Make AI Agents vs n8n AI Agent Workflows

Anysite MCP works with both platforms for building AI agents:

Make AI Agents:

  • Hosted service (no infrastructure management)
  • Native AI agent support with MCP integration
  • Agents autonomously select and execute tools
  • Visual interface for defining agent behavior
  • A large catalog of pre-built app integrations
  • Easier learning curve for non-developers
  • Scheduled automation—agents run around the clock

n8n:

  • Open source (self-hostable)
  • Build agent-like workflows manually
  • More customization options
  • Developer-friendly
  • One-time cost if self-hosted
  • Full control over execution environment

Both connect to the same MCP server. Make AI Agents provide native agent intelligence, where the agent decides tool usage; with n8n you build the logic explicitly. One MCP plan covers either one.

Real-World Agent: Competitive Monitoring

Here's a production-ready Make AI Agent you could deploy today:

Daily competitor intelligence agent:

System Prompt:

You are a competitive intelligence agent. Every morning at 9 AM:

1. Monitor these competitors: [list]
2. Check their company pages for new posts and hiring activity
3. Pull Instagram posts from the last 7 days
4. Search Twitter/X for brand mentions
5. Check Reddit for product discussions
6. Analyze all of it for significant changes
7. Summarize the key insights
8. Alert the marketing team via Slack if something significant moved
9. Log the data to our database

Use Anysite MCP tools to gather the data.

Trigger: Schedule (daily, 9 AM)

The agent runs the whole thing itself, choosing the calls for each source. Tool selection, extraction, analysis, and alerting — without explicit programming, and on a monthly cost you already know.

Data the Official APIs Don't Give You

Official platform APIs are narrow and gated. Access to the professional network's API runs through partnership agreements. Instagram's is limited to approved business accounts. Most of them are scoped and priced for large partners, not for one team building an agent.

Anysite covers the public data those APIs leave out — including the business data a page reader stops at — through one MCP connection, with no platform API agreement to negotiate. For Make AI Agents users, that plus a flat plan removes the two things that usually stop an autonomous, data-driven agent from shipping: access and a cost you can't predict.

Getting Started

You'll need:

  • Make.com account with AI Agents access
  • An Anysite MCP plan (from $30/month, 7-day free trial with full plan access)
  • Your MCP Direct URL from app.anysite.io

Setup takes about 2 minutes:

  1. Get the Direct URL from Anysite
  2. Add the MCP server in the Make AI Agents interface
  3. Create your first agent with a system prompt
  4. Define triggers and let the agent run

Full documentation: Make.com setup in the Anysite docs

Why This Matters for AI Agents

AI agents need data to make good decisions, and the more sources they can reach, the better they do. Per-request pricing works against that: every extra source is another line to justify, especially for agents running on a schedule.

A flat plan takes that argument out of the design. Inside a single execution, your Make AI Agent can:

  • Pull professional context from business data
  • Check Twitter/X activity for real-time signals
  • Read Instagram posts for brand monitoring
  • Search Reddit discussions for sentiment
  • Combine all of it before it answers

Define the goal, let the agent choose its calls, and pay one predictable monthly rate. Agents that were too fiddly to justify running daily are just a schedule setting now.