How to Connect Claude to Make.com and Map Claude Managed Agents in Make Grid

Claude can build and run increasingly sophisticated AI agents. Make.com can connect those agents to the applications, data, triggers, approvals and processes used across a business.

Until recently, combining the two created a visibility problem. A team could have Claude agents performing research, processing documents or generating code while Make scenarios moved data between email, CRM, databases and internal communication tools. Each component worked, but understanding the complete system usually depended on the person who originally built it.

Make has introduced a new Grid feature designed to close that gap. You can now connect Claude Managed Agents to Make Grid and display them alongside your Make scenarios, applications and dependencies, giving teams a shared visual map of the AI and automation infrastructure operating across the business.

The feature was released in July 2026 and currently appears as a feature preview inside Make. Grid also supports external assets from n8n and Relevance AI. If you are still choosing an orchestration backbone, our Make vs n8n comparison covers that decision first.

What is Make Grid?

Make Grid is a visual dependency map of your automation infrastructure.

The regular Make scenario builder shows the modules and logic inside one workflow. Grid moves up a level and displays how scenarios, applications, data sources, webhooks, AI components and shared resources connect across an entire Make environment. Make describes it as a near real-time, automatically generated map: as scenarios and dependencies change, Grid updates to reflect the current architecture.

That lets a team answer questions such as:

• Which scenarios depend on this Airtable table?
• What will break if a CRM field is renamed?
• Which workflows send data to an AI provider?
• Where is a particular webhook URL being used?
• Which automations are consuming the most credits?
• Which systems read from or write to a particular database?

Adding Claude Managed Agents extends this visibility beyond workflows created directly inside Make. In our own five-layer stack, this is the observability layer finally becoming a product feature rather than a spreadsheet.

What the Claude and Make Grid integration actually does

The new provider connection allows Make Grid to display supported Claude Managed Agents and their dependencies alongside Make scenarios.

Claude Managed Agents are configurable agents that run within managed infrastructure provided by Anthropic. An agent can be configured with a model, system prompt, tools, MCP servers and skills. Anthropic positions them for stateful, long-running and asynchronous tasks where Claude may need to use tools, work with files, run code or interact with external services.

Once connected to Grid, teams can use one interface to understand how those agents fit into the wider automation environment. Make highlights five capabilities.

1. See Claude agents and Make scenarios in one map

Claude Managed Agents can appear in the same Grid view as Make scenarios and connected resources. This matters when an AI agent performs one part of a process while Make manages the surrounding operational workflow.

For example, a Claude agent might analyse a complex tender document, while Make monitors the inbox, saves the attachment, creates the CRM record, sends the document to the agent, routes the output for approval and schedules the follow-up. Grid provides a shared view of every component involved.

2. Trace dependencies across platforms

A workflow may depend on the same database, webhook, file store or external service as several others. Grid helps teams identify those connections before making changes: a builder can inspect which scenarios and agents rely on a resource before changing its structure, permissions or location. That reduces the risk of editing one component and accidentally disrupting several downstream processes.

3. Identify AI and personal-data exposure

Grid can help teams see where AI services and personally identifiable information appear across the connected environment. That visibility is useful during security reviews, client audits and internal governance discussions. Instead of reviewing each automation platform separately, teams start from a wider view of how information moves through the system.

4. Monitor usage by provider

Grid layers can visualise credit, unit or operation consumption. Teams can connect increases in usage to the agents and automations responsible for them, making it easier to investigate unexpected costs or identify inefficient workflow design. If you are trying to forecast model spend as well as operations, see our Claude pricing comparison.

5. Search across connected systems

Grid search can locate references to applications, URLs, IDs, fields and other configuration details without opening every scenario individually. Make also supports searching content inside blueprints, including module values, notes and AI-agent system prompts.

An important distinction: mapping is not migration

The phrase "map Claude workflows in Make.com" needs clarification.

Make specifically documents support for Claude Managed Agents. Its published documentation does not state that every Claude chat, Claude Project, local Claude Code session or custom script will automatically appear in Grid.

The provider connection gives Make visibility into supported Claude assets and their dependencies. It does not convert a Claude agent into a Make scenario, copy the agent's logic into Make, or transfer execution from Anthropic to Make. This is a visibility and governance feature. Execution is still connected through Make's other Claude options: the Anthropic Claude application, Make MCP Server and Make Skills.

Four ways to combine Claude with Make.com

The Grid connection is one part of a much broader Claude and Make.com integration. There are now four distinct ways the platforms work together.

1. Use Claude inside a Make scenario

Make provides an official Anthropic Claude application. You can add Claude modules to a scenario and use them to generate responses, analyse information, work with files, manage skills and make authorised API calls. The Claude step can sit between any of Make's other application modules.

A simple workflow might look like this:

• A new enquiry arrives through a website form.
• Make retrieves information about the company.
• Claude analyses the enquiry and categorises its commercial potential.
• Make routes high-value opportunities to the correct salesperson.
• The CRM is updated automatically.
• A draft response is created for human approval.

Claude provides the reasoning; Make provides the trigger, integrations, routing, scheduling and operational controls. This is the most accessible approach for teams already building in Make, and it is the pattern we describe in agentic tools vs integration platforms.

2. Let Claude call Make scenarios through MCP

Make MCP Server allows selected scenarios to become tools an AI assistant such as Claude can call. The scenario must be active, scheduled to run on demand and configured with defined outputs. Claude then decides when to call it and uses the result in its response or wider task.

A user could ask Claude to review unread sales emails and identify which require a response today. Claude calls a Make scenario that retrieves the relevant emails, receives the structured output and continues analysing. The same architecture supports looking up CRM records, retrieving project information, creating tasks, searching internal databases, generating documents, updating approved records and triggering operational workflows.

Claude becomes the conversational interface while Make securely connects it to business systems. The underlying standard is Model Context Protocol.

3. Use Claude to build and manage Make scenarios

Make Skills provide Claude with structured guidance for Make-specific work. Depending on the skill installed and the permissions granted, Claude can help build scenarios, configure modules, reference MCP tools and work with Make APIs. Make says its skills can be used with Claude Code, Claude Desktop and Claude's browser-based products.

Instead of manually assembling every module, a user describes the business logic, required applications, conditions and expected output, and Claude helps translate that into a scenario. Human review remains important for credentials, destructive actions, billing-sensitive workflows and confidential data.

4. Map Claude Managed Agents in Make Grid

The Grid provider connection adds the operational visibility layer. A business can use Claude to build or run agents, use Make to coordinate deterministic workflow steps, and use Grid to understand how the complete system fits together.

Scheduling is only a small part of Make's value here. The larger value comes from coordinating work across systems and making the process visible to people who are not operating Claude directly.

How to connect Claude Managed Agents to Make Grid

Authentication fields vary by provider and account configuration, but the connection follows Make's external-provider workflow.

Step 1: Open Make Grid

There are three routes into Grid: select Grid from the main Make sidebar, open the scenarios area and select Grid, or open an individual scenario and choose Open in Grid. Opening Grid from a scenario focuses the map on that workflow; opening it from the main platform shows the broader environment.

Step 2: Open Manage providers

Inside Grid, select Manage providers from the top-right menu. This opens a panel showing the external automation and AI platforms currently supported. In the current feature preview those are Claude Managed Agents, Relevance AI and n8n.

Step 3: Select Claude

Find the Claude card and select Connect. The card explains that Make will display your Managed Agents and their dependencies on Grid.

Step 4: Authenticate the connection

Follow the authentication process shown by Make. Provider connections can request a connection name, credentials, API key, region or project depending on the provider. Only grant access to the Claude environment and assets that should be visible in that Grid.

Step 5: Display the Claude layer

Once connected, return to Grid and open Select layer. Enable the relevant Claude or external-provider layers to display the newly connected agents and related information.

Step 6: Review the imported landscape

Inspect the Claude agents that appear and confirm their dependencies make sense. This is a good moment to identify:

• Agents with unclear names
• Duplicate agents
• Shared databases
• Reused webhook endpoints
• Unnecessary access to personal data
• High-usage components
• Dependencies without a clear owner
• Agents that no longer appear to be in active use

Make allows each external provider to be connected once per user. A connection made by one person is not automatically shared across a Make space, so other team members may need to create their own using their own credentials.

A practical Claude and Make.com workflow example

Consider a business development system that identifies opportunities, researches companies, drafts outreach and maintains the CRM. This is close to the architecture behind our Lumens AV business development system.

Stage 1: Make detects an opportunity

A Make scenario monitors relevant sources such as forms, inboxes, databases or external APIs. When a new opportunity appears, Make standardises the data and checks whether the company already exists in the CRM.

Stage 2: Claude performs the research

A Claude agent receives the company, opportunity and contact information. It investigates the context, identifies commercial signals, summarises the opportunity and recommends an approach. For more complex work, a Managed Agent may use tools, files, web access or connected MCP services.

Stage 3: Make applies operational rules

Claude returns a structured output containing opportunity type, relevance score, recommended contact, supporting evidence, a suggested message and a follow-up date. Make validates that output and applies deterministic rules: an opportunity above a threshold goes for human approval, a low-confidence result goes to a research queue, an unsuitable one is archived with a reason.

Stage 4: Make coordinates the next actions

After approval, Make creates or updates the CRM record, assigns an owner, starts an outreach sequence, creates a task, notifies the commercial team, schedules follow-ups, stores the research and records the agent's confidence and recommendation.

Stage 5: Grid provides the system map

Grid displays the relationships between the Make scenarios, Claude Managed Agents, CRM, databases, webhooks and other shared systems. A manager no longer needs to sit inside Claude and inspect each agent to understand the overall process. That shared visibility matters more as several people build agents inside the same company.

Where the Claude and Make combination is most useful

Sales and business development

Claude investigates accounts, classifies replies, analyses opportunities and prepares personalised recommendations. Make manages lead capture, deduplication, enrichment, CRM updates, approvals, outreach and follow-up. Grid shows where campaigns, agents and data sources overlap. See our guide to AI sales agents for the full pattern.

RFP and document processing

Make monitors inboxes and folders for new documents. Claude extracts requirements, identifies deadlines, compares the request against company capabilities and prepares a response framework. Make routes the output to subject-matter experts, collects approvals and maintains a record of the submission.

Customer support

Claude analyses incoming requests and recommends a resolution. Make retrieves account data, enforces escalation rules, updates the support platform and notifies the right person when human intervention is required.

Internal operations

Claude analyses unstructured requests, policies, reports or project information. Make converts the output into structured tasks, approvals, notifications and system updates.

Research and reporting

Claude conducts deeper research and synthesises findings. Make triggers the research on a schedule or business event, supplies the data and distributes the completed report to the correct systems and people.

Why transparency matters as AI adoption grows

A small number of isolated automations can be managed through memory and informal documentation. That breaks down when a company has dozens of scenarios, multiple agents, shared APIs, several databases and different people building independently.

• Two teams build different agents for the same process.
• Several workflows write to the same table without a shared schema.
• A prompt change alters an output field and breaks a downstream scenario.
• An API key is replaced without identifying every workflow using it.
• An agent keeps access to data it no longer needs.
• Usage increases, but nobody can identify the responsible workflow.
• The original builder leaves and the system becomes difficult to maintain.

Static diagrams help, but they go out of date. Grid generates the map from the connected environment instead of relying entirely on manual documentation. Make recommends clear naming conventions, organising related workflows into folders, reviewing dependencies before migrations and using consumption layers to identify expensive processes. It is the same governance argument we make in automation adoption and orchestration.

Best practices for combining Claude and Make.com

Give every workflow and agent a clear purpose

Use action-based names. "Qualify inbound RFP and create CRM opportunity" is more useful than "Claude Agent 4" or "New Scenario".

Standardise Claude outputs

Where Make depends on a Claude response, define a predictable output structure with clearly named fields, controlled categories and validation rules. Do not let downstream workflows depend on loosely formatted prose.

Separate judgment from fixed rules

Use Claude where interpretation, analysis or context is required. Use Make filters and routers where the rule is fixed: a deadline within seven days, a value above a threshold, a missing required field, an existing record, an approval granted. This makes the system easier to test and maintain.

Add human approval at high-impact points

Human review belongs before sending sensitive communications, changing important records, committing expenditure or taking actions with legal or reputational consequences. Make coordinates the approval while Claude prepares the supporting analysis.

Review dependencies before changing prompts or schemas

A prompt functions like an interface between systems. Renaming lead_score to priority looks minor inside the agent but can break every downstream scenario expecting the original field. Use Grid to inspect affected dependencies before making production changes.

Monitor both Make and Claude consumption

An inefficient workflow creates costs across several layers. A loop in Make may call Claude repeatedly, an agent may perform unnecessary tool calls, and large documents may be processed more often than required. Review usage at both the orchestration and model levels.

What Make Grid does not solve

Grid improves visibility, but it does not remove the need for disciplined system design. Teams still need to manage access controls, credentials, data retention, testing, error handling, model selection, prompt quality, output validation, human escalation, workflow ownership and change management.

The Claude provider is also shown as a feature preview in the current interface. Functionality, supported assets and connection requirements may continue to evolve.

Claude versus Make.com is the wrong comparison

Claude and Make solve different parts of the problem. Claude is valuable when a task requires reasoning, interpretation, planning, research or adaptive tool use. Make is valuable when the process must connect multiple systems, respond to business events, enforce fixed rules, request approvals and keep operating without someone manually prompting each step.

Grid adds the missing management layer by helping teams see the automation and agent infrastructure as one connected system. A simple task may only need Claude. A repeatable business process involving several applications, people and dependencies usually benefits from orchestration and shared visibility.

Frequently asked questions

Can Make.com map Claude workflows?

Make currently documents support for Claude Managed Agents, which can be displayed in Make Grid alongside Make scenarios and connected dependencies. The documentation does not claim that every standard Claude conversation, Project or local Claude Code session will automatically appear.

Does connecting Claude to Make Grid import the agent into Make?

No. The provider connection displays supported Claude assets within the Grid landscape. It does not recreate the Claude agent as a Make scenario or move its execution into Make.

Can Claude trigger a Make scenario?

Yes. Make MCP Server can expose active, on-demand scenarios as tools Claude can call. The scenario must have appropriate inputs, outputs, permissions and scheduling configuration.

Can Make trigger Claude?

Yes. The official Anthropic Claude application can be added to Make scenarios, and a Claude module can run when a scenario is started by a schedule, webhook or event from another connected application.

Can Claude build Make.com workflows?

Make Skills are designed to help AI assistants perform Make-specific tasks such as building scenarios, configuring modules and working with Make MCP or APIs. Available actions depend on the installed skills, connections and permissions.

What is the difference between Make Grid and the scenario builder?

The scenario builder displays and edits the logic inside an individual workflow. Grid displays the wider automation landscape, including relationships between scenarios, applications, data sources, dependencies and supported external providers.

Is the Claude connection available now?

Make announced external-provider support for Claude Managed Agents on 8 July 2026. The connection is currently presented as a feature preview in the interface.

The next stage of AI automation

Businesses are moving beyond isolated prompts and individual automations. Claude provides the intelligence required to understand complex information and decide what to do next. Make coordinates the operational work across applications, schedules, approvals and teams. Grid provides a shared view of how those components depend on one another.

That combination creates an operating layer where agents perform work, workflows coordinate the process and people can understand what is happening across the system. For companies building multiple AI agents, that transparency may become as important as the intelligence of the agents themselves.

Stob.AI designs and builds joined-up AI and automation systems across Claude, Make, CRM, email, data and human approval. Our AI Automation Audit identifies where agents and workflows can create measurable operational value, along with the controls required to run them reliably. You can also see the systems we have built or read about how we implement them.