Skip to main content
Glama
nuncaeslupus

Invoice numberer

by nuncaeslupus
OverviewSchemaSourceRelated ServersDiscussionsAdmin
TypeScript
Local

Related Servers

Alternatives to Invoice numberer

No user-submitted related servers found.

    Related Servers

    • Invoice MCP Server

      kmexnx
      A
      license
      B
      quality
      D
      maintenance
      Enables the generation of professional PDF invoices and their distribution via email using customizable templates. It allows users to create, manage, and send invoices with standard business fields like tax rates and line items through natural language.
      3
      19 npm
      2
      MIT

    • invoice-mcp

      sho-kuroda
      A
      license
      A
      quality
      C
      maintenance
      Turns invoice details from an MCP client conversation into calculated totals and formatted Excel workbooks in JPY, USD, or EUR, using integer minor-unit arithmetic and grouped tax rounding. Supports mixed tax rates, Excel formulas with cached totals, and A4 print-ready layouts, writing files locally with no network access or API key.
      2
      441 npm
      MIT

    • Invoice Bridge MCP

      Winterholdt
      A
      license
      B
      quality
      B
      maintenance
      Enables AI assistants to locate invoice files, extract embedded ZUGFeRD/Factur-X XML from PDF/A-3 documents, and validate compliance with § 14 UStG and EN 16931, including direct PDF invoice checks.
      3
      1
      MIT

    • invovate-mcp-server

      LightSpeedPlusOne
      A
      license
      A
      quality
      D
      maintenance
      Create invoices from any MCP client via the Invovate API — compute totals and generate PDF, JSON, or UBL invoices in 11 languages. Exposes four tools: calculate_invoice_totals (no API key needed), generate_invoice_pdf, generate_invoice_ubl, and get_invoice_capabilities.
      4
      125 npm
      1
      MIT

    • S3eidat Tools MCP

      s3eidat
      A
      license
      A
      quality
      B
      maintenance
      Enables AI assistants to work with local files — merging, compressing and editing PDFs, converting and resizing images, formatting text and data formats, running calculators, generating QR codes and barcodes, and producing invoices, resumes and other documents. Everything runs privately on the user's own machine with no uploads, accounts or API keys, and outputs can be chained from one tool to the next.
      162
      MIT

    • benspdf

      benbergner
      A
      license
      A
      quality
      A
      maintenance
      Enables AI agents to inspect and work with PDF files entirely on the local machine, covering page counts, metadata, layout, encryption permissions, scan-vs-text detection, and page rendering. Generated results land in a temporary workspace as short artifact ids that can be chained between tools and exported to real folders on request.
      12
      30 PyPI
      1
      Apache 2.0
    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    A3.9/5.0

    Scored across 1 tool

    Disambiguation5/5

    There is only one tool, so there is no possibility of misselection between competing tools. Its purpose (batch-numbering PDF invoices) is stated clearly and unambiguously.

    Naming Consistency5/5

    The single name 'number_invoices' follows a clean verb_noun snake_case pattern. No competing conventions exist to create inconsistency.

    Tool Count4/5

    The server has a deliberately narrow, single-purpose scope, so one tool is defensible rather than an oversight. It is on the thin side (no separate preview/configure operations), which keeps it just below a perfect score.

    Completeness3/5

    Core behavior (stamp sequential numbers, write to a new folder, leave originals untouched) is covered, but obvious adjacent operations are absent: choosing a prefix or starting number, dry-run/preview, resuming numbering across batches, or undoing a run. Agents can work around these only by post-processing output themselves.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources