mclideJoin Waitlist

Create and manage agentic workflows.

Turn business processes into automations you can audit and scale.

Join Waitlist

Explore mclide, try your ideas and share your feedback.

Building agents yourself? Launch slipped by three sprints. Payment Lead Case Manager Payment Analyst Account Analyst No humanapproval Where did thetokens go?How do I addhuman approval?What can eachagent do?Usage reached 150%of budget.Payment releasedwithout approval.Account recordswere deleted! Payment Review Hard-wire agents into each workflow. Build them in mclide. Live in minutes, not sprints. Payment Lead Case Manager 127,000 / 160,000 Payment Analyst Account Analyst AliceApprover Account RecordsRead-Only Track token usage.Set usage limits.Authorized memberscan approve actions.Control agent accesswith roles.No overnightsurprise bills.You authorize everycritical step.Guard againstunexpected actions. Payment Review
Build agents once. Reuse across workflows.

Drag or use arrow keys to compare On your own and With mclide. Home reveals mclide; End shows the agent-only path.

Illustrative Payment Review workflow. Payment Lead invokes Case Manager, Account Analyst and Payment Analyst; Account Analyst also invokes Payment Analyst. Case Manager uses OpenAI: 127,000 / 160,000 tokens. Account Analyst has Read-Only access to Account Records. Alice is the Approver; the visitor cannot approve or release a payment. On your own: hard-wire agents into each workflow. Built in mclide, Payment Review v3: build agents once, reuse across workflows.

Build on the stack you know.

Build on the stack you know.

Explore a workflow in action

Follow a sample run, inspect permissions, and check model usage.

mclide

Sample workflow · Default example

Payment Review

Payment Lead coordinates Account Analyst and Payment Analyst, connected to Account Records and Transaction History.

Follow the prepared review with agent status, permissions, model usage and activity.

The example is readable now. JavaScript enables the interactive preview.

Connect agents to the systems they need

Integrate agents into your existing applications, data and infra.

mcagent connects across Applications, Data and Infrastructure, with 26 illustrative systems.ApplicationsDataInfrastructuremcagent
  • Applications: Slack, Salesforce, Shopify, Stripe, Jira, Zendesk, GitHub, Twilio, PagerDuty.
  • Data: PostgreSQL, Snowflake, ClickHouse, Elasticsearch, Apache Kafka, Apache Airflow, Amazon S3, Jupyter, Grafana.
  • Infrastructure: AWS, Azure, Google Cloud, Oracle Cloud, Kubernetes, Docker, HashiCorp, Salt.

Define what each agent can do

Set permissions for calling other agents, using models, and invoking tool operations.

Agent access profile

Payment Lead

Coordinates payment review

AgentsAccess

  • Account Analyst

    Assess account

    Allow

  • Payment Analyst

    Assess transaction

    Allow

  • Case Manager

    Open review case

    Allow

ToolsAccess

  • Payments

    Hold payment · Release payment

    Allow

Agent access profile

Payment Lead

Coordinates payment review

AgentsAccess

  • Account Analyst

    Assess account

    Allow

  • Payment Analyst

    Assess transaction

    Allow

  • Case Manager

    Open review case

    Allow

ToolsAccess

  • Payments

    Hold payment · Release payment

    Allow

Agent access profile

Account Analyst

Assesses account history

AgentsAccess

  • Payment Analyst

    Check transaction context

    Allow

ModelsAccess

  • Claude Opus

    via Anthropic

    Allow

ToolsAccess

  • Account Records

    Read account history

    Allow

Outside this profileAccess

  • Meta Llama 3.3 70B

    via Together AI

    Not granted

Agent access profile

Case Manager

Opens review cases

ToolsAccess

  • Case Management

    Create review case

    Allow

Outside this profileAccess

  • Payment Lead

    Agent call not granted

    Not granted

Track model usage. Set limits.

Monitor token consumption and set quotas by provider, model, or agent.

Usage & quotas

Illustrative data
Tokens used today
1.12M tokens

Configured daily quotas

AnthropicProvider
840,000 used70%

Limit: 1,200,000 tokens/day

Llama 3.3 70BModel
280,000 used56%

Limit: 500,000 tokens/day

Payment AgentAgent
90,000 used90%

Limit: 100,000 tokens/day

Follow every step of a workflow

Audit actions and analyze results. Find bottlenecks and debug failures.

Illustrative workflow from payment receipt through account review. The magnifier inspects step 2's business rejection; the workflow then holds the payment and opens a review case.

Payment Review

Run #PR-2048
● Rejected0.79 s total
  1. Receive payment24 ms

    Payment Application → Payment Lead

    Accepted
  2. Review account420 ms

    Account Analyst · account records

    Rejected
    STEP 2 · REJECTEDTransaction limit exceeded
    Payment amount
    $12,500
    Account limit
    $10,000
    get_account_history · 420 ms
  3. Hold payment140 ms

    Payment Lead → hold_payment

    Held
  4. Open review case210 ms

    Case Manager → create_case

    Opened

Give contributors the right access

Assign organization and project roles to control who can view, change, or manage resources.

MclideYour organization
3 projects
PROJECT ACCESS

Customer Support

People and agents in this project

TEAM MEMBERSProject role
  • AliceAdmin
  • BenMember
  • MayaViewer
AI AGENTSIn this project
  • Triage
  • Reply
PROJECT ACCESS

Incident Management

People and agents in this project

TEAM MEMBERSProject role
  • NoahAdmin
  • MayaMember
  • SamViewer
AI AGENTSIn this project
  • Detect
  • Resolve
PROJECT ACCESS

Payment Operations

People and agents in this project

TEAM MEMBERSProject role
  • PriyaAdmin
  • AliceMember
  • LeoViewer
AI AGENTSIn this project
  • Review
  • Reconcile
Team members have organization and project roles
and individual workspace access.

How it all comes together

Scale your ideas across clouds

Connect your infrastructure and scale agents in minutes.

World map: conceptual connections from AWS, Google Cloud, Azure and Oracle Cloud to MconsoleMconsole
  • AWS connects to Mconsole
  • Google Cloud connects to Mconsole
  • Azure connects to Mconsole
  • Oracle Cloud connects to Mconsole

FAQ

What happens after I join?

Selected participants will be invited to try it for free, explore their own ideas, and share feedback.

Where do my agents run?

In your own cloud, right next to your data. Mclide is compatible with AWS, Azure, GCP and other major clouds.

What can I connect?

Your favorite agent frameworks, models, tools and data pipelines. If your team uses it, mclide can bring it in.

Who's in control?

You are. Choose which agents can use which models and tools, set usage limits and see every step they take.