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Invompt

Invompt MCP

by Invompt

Invompt MCP

CI status npm @next version MCP Registry listing Hosted MCP connector score on Glama Awesome Remote MCP listing MIT License

Create and manage invoices from a conversation with your AI assistant. Review every detail before you share a document with a client.

Install Invompt for your AI assistant

Start without an account. Create one later to keep your invoices.

Quick start

  1. Open the installation guide and choose your AI assistant.

  2. Connect to Invompt in your browser. Choose Continue without an account, Sign in, or Create account. You can also Deny the connection.

  3. Ask your assistant to draft an invoice, then review it before sharing.

The hosted connection uses OAuth, including when you start without an account. Your AI assistant handles the authorization flow.

Related MCP server: Invoices Generator MCP Server

From conversation to invoice

  1. Describe the work. Include the client, service, quantity, and rate; add tax or payment terms when needed.

  2. Review the draft. Check the client, line items, totals, and dates. Ask for changes in the same conversation.

  3. Choose what happens next. Open the hosted invoice to download its PDF. Sending by email requires a registered account.

Draft an invoice from the project details we just discussed. Set payment terms to 14 days.

What it does

Invompt creates invoices, quotes, estimates, and pro formas from a conversation. It can revise a selected document and reuse saved clients and business settings.

Hosted connection

Use the hosted MCP server at:

https://mcp.invompt.com/mcp

The hosted OAuth connection is the recommended way to get started.

Connection modes

The repository's local-beta CLI and Guest stdio bridge are secondary development options. See the local-beta CLI reference for developer setup details.

Accounts and access

You can begin without an account. When you're ready, ask your connected assistant to help create an Invompt account and keep invoices made through your current connection. Open the link it provides and complete the account flow. Creating an account elsewhere does not automatically find unrelated guest histories. Sending invoices by email requires a registered account.

Security

The hosted connection uses your AI assistant's OAuth flow. The local-beta CLI stores Guest credentials in the macOS Keychain by default; read its security guidance before using that option.

Resources

License

MIT

Available Tools

1 tool
create_invoiceCreate InvoiceB

Create an Invompt invoice from raw IML YAML. Read invompt://spec/iml/v1 first if you need schema guidance.

ParametersJSON Schema
NameRequiredDescriptionDefault
imlYesRaw Invoice Markup Language (IML) YAML.
templateIdNoOptional template override.

Output Schema

ParametersJSON Schema
NameRequiredDescription
urlYes
invoiceIdYes

TDQS

B3.2/5.0
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full burden. It mentions creating an invoice but doesn't disclose behavioral traits like permissions needed, whether the operation is idempotent, error handling, or what the output contains. The reference to external documentation adds some context but insufficiently compensates for the lack of built-in transparency.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is concise with two sentences, front-loading the main action and following with guidance. There's no wasted text, but it could be slightly more structured by explicitly separating purpose from prerequisites.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool has an output schema, the description doesn't need to explain return values. However, with no annotations and a mutation operation (create), the description lacks completeness in areas like behavioral context and usage prerequisites, making it adequate but with clear gaps for an agent to use effectively.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the schema already documents both parameters fully. The description adds minimal value beyond the schema by hinting at the need for schema guidance but doesn't provide additional semantics for the parameters. Baseline 3 is appropriate as the schema does the heavy lifting.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action ('Create an Invompt invoice') and the input source ('from raw IML YAML'), providing specific verb+resource information. However, it doesn't differentiate from siblings since there are none, and the mention of 'invompt://spec/iml/v1' adds helpful context but doesn't fully clarify the purpose beyond the basic action.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage by referencing external schema guidance ('Read invompt://spec/iml/v1 first if you need schema guidance'), which suggests when to prepare inputs. However, it lacks explicit when-to-use guidance, alternatives, or exclusions, leaving usage context somewhat vague.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

  1. 1 tool updatev0.1.0
    • First observedcreate_invoice

TDQS

B3.2/5.0

Scored across 1 tool

Disambiguation5/5

With only one tool, there is no possibility of ambiguity or overlap with other tools, making disambiguation perfect.

Naming Consistency5/5

A single tool inherently has consistent naming, as there are no other tools to compare it against for patterns or deviations.

Tool Count2/5

One tool is too few for a server named 'Invompt MCP', which suggests a broader invoicing domain; this feels thin and likely incomplete for typical invoicing workflows.

Completeness1/5

The server appears focused on invoicing, but with only a create_invoice tool, it lacks essential operations like retrieving, updating, listing, or deleting invoices, making it severely incomplete.

Maintenance

ActivityActive
ResponsivenessNo issues

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