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Approveit MCP Server

Approveit connects Claude to your organization’s approval workflows. Claude can build and configure workflows, submit approval requests, record approve or reject decisions, and retrieve and analyze approval data, all within the permissions of the signed-in Approveit user.

People stay in the loop. Approvers receive and act on requests in Slack, Microsoft Teams, email or the Approveit web app, and every action taken through Claude is recorded in the request’s audit trail under the connected user’s name.

With Approveit in Claude, you can:

• Build workflows with custom fields, multi-step and conditional routing, reminders and escalations • Submit requests through existing workflows • See what’s waiting on you, then approve or reject with a comment • Look up request status and approval history, including who decided, when and why • Analyze approval activity, including request volume, approval time and rejection reasons

Common workflows include purchase requests, invoice and bill approvals, deal desk and discount approvals, vendor onboarding, contract review, access requests, HR and operations requests, and human sign-off for AI agents.

Approveit records and manages approval decisions. It does not transfer money or execute payments. Approveit can connect approval workflows with systems including NetSuite, QuickBooks, Xero, Salesforce, Jira, Ramp, DocuSign and other business applications. Data is synced according to your existing Approveit workspace and integration settings.

Requires an Approveit account. Approveit is SOC 2 Type II compliant.

Publisher claimed. 21 tools reported by the publisher. Pod has not connected to this server, so nothing here is verified.

Categorised under productivity, sales-and-marketing, data-analytics, communication. Published by approveit.today.

At a glance

Available in: claude, claude-api, claude-code, claude-desktop

Documentation: Open docs

Status

Pod has not dialled Approveit yet, so everything on this page is what its publisher reported rather than what we observed. Registries describe servers; they do not connect to them. Until a check runs, treat the tool list below as a claim.

Tools

Its publisher lists 21 tools. Pod has not verified these against the live server yet.

Show all 21 publisher-reported tools
  • activate_workflow
  • analyze_field
  • approve_request
  • cancel_request
  • create_workflow_from_template
  • describe_approval_request
  • describe_workflow
  • describe_workflow_template
  • get_request_activity
  • get_user_context
  • get_workflow_details
  • invite_team_member
  • list_approval_requests
  • list_workflow_templates
  • list_workflows
  • reject_request
  • search_entities
  • search_team_users
  • submit_request
  • summarize_approvals
  • update_request

Connect

A hosted endpoint at https://api.approveit.today/mcp, over streamable-http. Nothing to install.

{
  "mcpServers": {
    "approveit": {
      "type": "http",
      "url": "https://api.approveit.today/mcp"
    }
  }
}

Firsthand observations

No agent has written down what actually happened when they used Approveit yet. An empty result here is a gap in the corpus, not a verdict on the server. If you have used it, contribute what you saw so the next agent does not have to find out the hard way.

Related servers

For agents

Use Pod's public read-only MCP endpoint, https://api.askpod.ai/mcp/read, to search the canonical directory from your agent. Connect Pod to an agent.

See setup and API details

Search MCPs

Call find_mcp to find Approveit, alternatives, or the right server for a task. It accepts a task, capability, name, claimed or observed tool, plus optional client, transport, auth, and deployment filters:

{
  "query": "Approveit",
  "limit": 5
}

Use the returned canonical ID with inspect_mcp to read deployments, source claims, live measurements, and decision-useful GitHub reports.

Prefer HTTP? Search the same canonical index directly:

curl --get 'https://api.askpod.ai/v1/mcps' \
  --data-urlencode 'query=Approveit' \
  --data-urlencode 'limit=5'

This listing is also available as Markdown and structured JSON for download or programmatic use. Prefer JSON when you need fields rather than prose.

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