ramp-submit-reimbursement

ramp.com/submit-reimbursement · updated May 21, 2026

MDX-style export adds YAML metadata + attribution linking explainx.ai and this canonical listing URL.

$browse install ramp.com/submit-reimbursement
0 commentsdiscussion
summary

Submit an employee reimbursement through Ramp MCP or Ramp CLI with receipt extraction, policy/category validation, draft review, and explicit confirmation before submission.

skill.md
name
"ramp-submit-reimbursement"
title
"Ramp Submit Reimbursement"
description
"Submit an employee reimbursement through Ramp MCP or Ramp CLI with receipt extraction, policy/category validation, draft review, and explicit confirmation before submission."
website
"ramp.com"
category
"finance"
tags
["finance", "expenses", "reimbursements", "mcp", "cli", "policy", "human-confirmation"]
status
"launched"
partner
true
source
"official Ramp MCP support + Ramp CLI docs + non-mutating endpoint checks, 2026-05-08"
updated
"2026-05-08"
recommended_method
"cli"
alternative_methods
- method: "mcp" rationale: "Ramp's official MCP server at https://mcp.ramp.com/mcp exposes natural-language tools for reimbursements, receipts, policies, funds, categories, and tracking categories. Prefer MCP when an interactive Ramp MCP connection is already wired into the agent client." - method: "browser" rationale: "Use Ramp's web UI only when MCP/CLI is unavailable or the tool reports that a required field cannot be edited through the API surface. Browser submission is authenticated, stateful, and should still stop for user confirmation before clicking Submit."

Ramp Submit Reimbursement - CLI Skill

Purpose

Create, complete, and submit an employee reimbursement in Ramp using the first-party Ramp MCP or Ramp CLI whenever available. This is a write workflow: extract receipt details, validate required policy/accounting fields, build or update a draft reimbursement, present the exact draft back to the user, and only submit after explicit confirmation.

Official references:

https://support.ramp.com/hc/en-us/articles/45516494479891-Ramp-MCP
https://support.ramp.com/hc/en-us/articles/4417618448403-Submitting-reimbursements
https://docs.ramp.com/llms-guides/cli.txt
https://docs.ramp.com/llms-guides/ramp-mcp.txt
https://mcp.ramp.com/mcp
https://demo-mcp.ramp.com/mcp
https://github.com/ramp-public/ramp-cli

When to Use

  • "Submit this lunch receipt as a Ramp reimbursement."
  • "Reimburse me for the Uber to the client meeting."
  • "File these out-of-pocket expenses in Ramp."
  • "Create a reimbursement draft and tell me what is missing."
  • "Check my recent reimbursements / invoices / spend history" when write access is unavailable.

Guardrails

  • Do not approve, reject, pay, or mark reimbursements paid unless the user explicitly asks and has the proper approver role. This skill is for employee submission, not manager approval.
  • Do not submit a reimbursement without a final user confirmation that includes amount, currency, merchant, date, memo/business purpose, category/fund/accounting fields, receipt filenames, and any policy exceptions.
  • Prefer drafts. If a tool can create or edit a draft separately from submitting, create/update the draft first, then confirm.
  • Respect Ramp permissions. Ramp MCP and CLI actions run as the authenticated Ramp user and can only access data that user can already see in Ramp.
  • Do not invent CLI flags. Use --help discovery for exact command syntax in the installed CLI version before invoking a write command.
  • Use the demo MCP server only for sample-data exploration. Never submit a real employee reimbursement through demo data.
  • If credentials are unavailable, stay read-only and provide a missing-fields checklist or retrieve only public docs/support guidance.

Preferred Path: Ramp MCP

Ramp's official MCP server is the best fit for interactive reimbursement submission because it exposes natural-language tools for reimbursements, receipts, policies, funds, categories, tracking categories, and Help Center answers.

1. Confirm MCP connection

Production server:

https://mcp.ramp.com/mcp

Demo server for sample data only:

https://demo-mcp.ramp.com/mcp

For Codex / Claude Code / Cursor-style setups, confirm the Ramp server is connected using the client-native MCP inspection command. If the client exposes tool names, look for reimbursement-related tools such as:

  • ramp_get_reimbursements
  • ramp_get_reimbursements_for_approval
  • ramp_edit_reimbursement
  • ramp_approve_or_reject_reimbursement
  • ramp_get_tracking_categories
  • ramp_get_tracking_category_options
  • ramp_answer_policy_question
  • ramp_ask_help_center

Ramp's docs say tools are added regularly. If an expected tool is missing, disconnect/reconnect Ramp in the MCP client and restart the agent session.

2. Parse the receipt and user intent

From the receipt image/PDF/email or user-provided text, extract:

  • merchant
  • transaction date
  • amount and currency
  • taxes/tip/fees when visible
  • payment method if visible
  • line items, especially alcohol, gift cards, personal items, or travel segments
  • attendee names for meals if required
  • trip/project/client context when present
  • business purpose memo
  • receipt file path or attachment identifier

If OCR confidence is low, ask the user to confirm the uncertain field before creating a draft.

3. Ask Ramp for policy and required fields

Before editing/submitting, use Ramp MCP to answer:

  • Is this expense type reimbursable under the user's policy/fund?
  • Which fund/spend program should be used?
  • Which accounting category or tracking categories are required?
  • Are attendees, trip, memo, receipt, entity, department, location, PO, or custom fields required?
  • Is the amount over a threshold requiring extra details?
  • Is the reimbursement out-of-pocket, mileage, per diem, or tied to a personal card import?

Use Ramp's policy/help tools for ambiguous cases. If the policy answer is uncertain, present it as a blocker rather than guessing.

4. Create or update the draft reimbursement

Use the Ramp MCP reimbursement tools exposed by the connected client. The exact tool schema may vary by release, so inspect the available tool description/schema before calling it.

Draft payload should include only verified fields:

{
  "type": "out_of_pocket",
  "merchant": "Acme Cafe",
  "amount": { "currency_code": "USD", "amount": "42.18" },
  "transaction_date": "2026-05-08",
  "memo": "Lunch during onsite customer meeting",
  "receipt_files": ["receipt.pdf"],
  "fund_or_spend_program": "Customer Meetings",
  "category": "Meals",
  "attendees": ["..."],
  "trip": "..."
}

If the user supplied several receipts, create separate drafts unless they explicitly ask to group them. Ramp's support docs note that emailing multiple receipts creates multiple draft reimbursements and that bulk/group submission may be available for eligible accounts.

5. Validate completeness

After drafting or editing, re-read the draft and check:

  • receipt attached
  • amount/currency/date/merchant match the receipt
  • memo is present and specific enough
  • required fund/category/accounting fields are populated
  • reimbursement type is correct
  • policy exceptions are called out
  • duplicate risk checked against recent reimbursements and transactions when available
  • payment prerequisites are not blocking submission, such as missing bank details

If anything is missing, stop and ask for the missing value or leave the reimbursement as a draft.

6. Confirm before submission

Present a concise confirmation:

Ready to submit this Ramp reimbursement?
Merchant: Acme Cafe
Date: 2026-05-08
Amount: USD 42.18
Memo: Lunch during onsite customer meeting
Category/fund: Meals / Customer Meetings
Receipt: receipt.pdf
Policy: no issues found

Ask the user to confirm with an unambiguous yes. After confirmation, submit the draft through the MCP reimbursement submit action if available. Return the reimbursement ID, status, and Ramp URL if the tool provides one.

CLI Path: Ramp CLI

Use the CLI when a terminal-first or scheduled agent loop is preferred. Ramp's docs verify the CLI install path, OAuth login, agent JSON output, and the reimbursement resource names, but individual flags can change. Always inspect help before writes.

1. Install/authenticate if needed

Discover whether ramp exists:

command -v ramp
ramp --help

Official install command:

curl -fsSL https://agents.ramp.com/install.sh | sh

Authenticate:

ramp auth login
ramp users me --agent

Ramp CLI defaults to sandbox unless configured otherwise. Confirm target environment before real submissions:

ramp env --help
ramp config --help

2. Discover exact reimbursement syntax

Do not assume flags. Inspect the installed CLI:

ramp reimbursements --help
ramp reimbursements list --help
ramp reimbursements edit --help
ramp reimbursements submit --help
ramp receipts --help
ramp receipts upload --help
ramp receipts attach --help
ramp general policy --help
ramp accounting categories --help
ramp accounting category-options --help

The official CLI docs list these reimbursement tools:

ramp reimbursements list
ramp reimbursements pending
ramp reimbursements submit
ramp reimbursements approve
ramp reimbursements edit

Use --agent or JSON output for machine parsing, --no-input only after all required values are known, and --dry_run when the tool exposes it.

3. CLI workflow shape

  1. Upload or attach the receipt using the discovered ramp receipts ... command.
  2. List recent reimbursements/transactions to check for duplicates:
    ramp reimbursements list --help
    ramp transactions list --help
    
  3. Discover categories/tracking options:
    ramp accounting categories --help
    ramp accounting category-options --help
    
  4. Create or edit the draft using the exact flags shown by ramp reimbursements edit --help or the relevant draft command if present.
  5. Read the draft back in JSON.
  6. Ask the user for explicit confirmation.
  7. Submit with the exact command/flags shown by ramp reimbursements submit --help.

If the installed CLI has a --json TEXT request-body option for the reimbursement tool, prefer a structured JSON file or heredoc over shell-escaped inline arguments.

Browser Fallback

Use browser automation only when MCP/CLI cannot complete the workflow. Ramp's support docs describe the web path as Home > New > Reimbursement / Request reimbursement, where users upload receipts and add receipt, memo, and policy-required details.

Browser rules:

  • Authenticate as the user.
  • Navigate to https://app.ramp.com/ and use the Reimbursement flow.
  • Upload the receipt.
  • Fill only verified fields.
  • Stop on policy, banking, permission, missing-field, or duplicate warnings.
  • Never click Submit until the user confirms the final summary in chat.
  • After submission, capture the status and URL.

Read-Only Fallback

If Ramp credentials, MCP, or CLI are unavailable:

  • Do not attempt a write through private web endpoints.
  • Extract receipt fields locally and produce a draft summary/checklist.
  • Use public Ramp support docs to explain the user's next step.
  • If demo MCP is acceptable, use https://demo-mcp.ramp.com/mcp only to show the flow with sample data.
  • If authenticated read-only access exists, retrieve recent reimbursements, invoices/bills, and spend history to help the user detect duplicates or choose categories, but leave submission to the user.

Read-only output:

{
  "ready_to_submit": false,
  "reason": "Ramp credentials unavailable",
  "draft": {
    "merchant": "Acme Cafe",
    "date": "2026-05-08",
    "amount": "USD 42.18",
    "memo": "Needs user confirmation",
    "receipt": "receipt.pdf"
  },
  "next_steps": [
    "Connect Ramp MCP at https://mcp.ramp.com/mcp or authenticate Ramp CLI",
    "Confirm fund/category and any required accounting fields",
    "Submit after reviewing the final draft"
  ]
}

Expected Output

Successful draft created, not submitted:

{
  "success": true,
  "submitted": false,
  "status": "draft",
  "reimbursement_id": "...",
  "needs_confirmation": true,
  "summary": {
    "merchant": "Acme Cafe",
    "date": "2026-05-08",
    "amount": "USD 42.18",
    "memo": "Lunch during onsite customer meeting",
    "category": "Meals",
    "receipt_attached": true
  }
}

Submitted after confirmation:

{
  "success": true,
  "submitted": true,
  "status": "pending_approval",
  "reimbursement_id": "...",
  "url": "https://app.ramp.com/...",
  "submitted_after_user_confirmation": true
}

Blocked:

{
  "success": false,
  "submitted": false,
  "reason": "missing_required_fields",
  "missing": ["business purpose memo", "accounting category"],
  "draft_saved": true
}
how to use ramp-submit-reimbursement

How to use ramp-submit-reimbursement on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add ramp-submit-reimbursement
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$browse install ramp.com/submit-reimbursement

The skills CLI fetches ramp-submit-reimbursement from GitHub repository ramp.com/submit-reimbursement and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/ramp-submit-reimbursement

Reload or restart Cursor to activate ramp-submit-reimbursement. Access the skill through slash commands (e.g., /ramp-submit-reimbursement) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

Submit your Claude Code skill and start earning

GET_STARTED →

Use Cases

Task Automation & Efficiency

Automate repetitive workflows and reduce manual effort

Example

Generate reports, summarize documents, draft communications

Save 3-5 hours per week on routine tasks

Knowledge Enhancement

Learn new skills, understand complex topics, get expert guidance

Example

Explain concepts, provide examples, suggest learning resources

Accelerate learning and skill development by 2x

Quality Improvement

Enhance output quality through reviews, suggestions, and refinements

Example

Review drafts, suggest improvements, catch errors

Improve work quality by 30-40% with less effort

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client with skill support
  • Clear understanding of task or problem to solve
  • Willingness to iterate and refine outputs

Time Estimate

15-45 minutes depending on use case complexity

Installation Steps

  1. 1.Install skill using provided installation command
  2. 2.Test with simple use case relevant to your work
  3. 3.Evaluate output quality and relevance
  4. 4.Iterate on prompts to improve results
  5. 5.Integrate into regular workflow if valuable

Common Pitfalls

  • Expecting perfect results without iteration
  • Not providing enough context in prompts
  • Using skill for tasks outside its intended scope
  • Accepting outputs without review and validation

Best Practices

✓ Do

  • +Start with clear, specific prompts
  • +Provide relevant context and constraints
  • +Review and refine all outputs before using
  • +Iterate to improve output quality
  • +Document successful prompt patterns

✗ Don't

  • Don't use without understanding skill limitations
  • Don't skip validation of outputs
  • Don't share sensitive information in prompts
  • Don't expect skill to replace human judgment

💡 Pro Tips

  • Be specific about desired format and style
  • Ask for multiple options to choose from
  • Request explanations to understand reasoning
  • Combine AI efficiency with human expertise

When to Use This

✓ Use When

Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.

✗ Avoid When

Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.

Learning Path

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.726 reviews
  • Tariq Desai· Dec 12, 2024

    ramp-submit-reimbursement has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Hassan Khanna· Nov 3, 2024

    Useful defaults in ramp-submit-reimbursement — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Aisha Chen· Oct 22, 2024

    ramp-submit-reimbursement is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Rahul Santra· Sep 17, 2024

    Useful defaults in ramp-submit-reimbursement — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Liam Yang· Sep 17, 2024

    ramp-submit-reimbursement has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Piyush G· Sep 1, 2024

    ramp-submit-reimbursement reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Shikha Mishra· Aug 20, 2024

    I recommend ramp-submit-reimbursement for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Pratham Ware· Aug 8, 2024

    ramp-submit-reimbursement is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Mei Brown· Aug 8, 2024

    Keeps context tight: ramp-submit-reimbursement is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Yash Thakker· Jul 27, 2024

    Keeps context tight: ramp-submit-reimbursement is the kind of skill you can hand to a new teammate without a long onboarding doc.

showing 1-10 of 26

1 / 3