MCP For Claude Marketplace
Paymo

Paymo MCP Connector for Claude

A+

Control agency workflows via Paymo — trace tasks, submit time entries, structure project milestones, and securely fetch invoices using AI.

10 tools Official Updated Jun 28, 2026 Official Vinkius Partner
More Details Connect to Claude

Bring the Paymo Project Platform directly into your generative spaces explicitly routing commands. Orchestrate global time tracking pipelines, manipulate defined agency client boundaries, list strict project milestones dynamically, and extract arrays corresponding to invoices and active operational tasks remotely via intelligent prompting workflows natively.

What you can do

  • Project Modeling — Trace collaborative groupings checking native logic and limits identifying exactly how milestones or active tasks tie back implicitly to Client entities
  • Time Entries Pipeline — Generate commands explicit logs matching logical boundaries tracking the hours actively running on defined agency metrics continuously
  • Billing Extraction — Execute secure remote validation fetching invoices attached natively resolving status parameters reliably matching financial limits
  • Agile Manipulation — Dispatch isolated instances defining explicit new create_task logic parsing complex bounds mapped over users

How it works

  1. Subscribe dynamically linking the integration structure securely
  2. Supply your explicit Paymo bounded Token API Keys
  3. Start mapping arrays testing boundaries through structured Claude or Cursor queries natively

Who is this for?

  • Agency Founders — check global active time limitations extracting explicit metrics identifying missing accounting data remotely
  • Account Managers — map isolated logical client outputs fetching invoice status arrays and confirming active milestone boundaries gracefully
  • Consultant Contractors — apply semantic AI pipelines actively posting your time entries tracking isolated assignments daily directly passing a text command
time-trackingbillinginvoicingmilestone-trackingtask-managementresource-planning

10 tools expose this connector's capabilities to your AI agent.

list_milestones

Inspect deep internal arrays mitigating specific Time targets

list_projects

Identify bounded routing spaces inside the Headless Paymo Platform

get_project_details

Inspect deep internal arrays mitigating specific Project bindings

list_invoices

Perform structural extraction of properties driving active Billing

list_tasks

Retrieve explicit Cloud logging tracing explicit Project Tasks

create_task

Dispatch an automated validation check routing explicit Task additions

list_time_entries

Enumerate explicitly attached structured rules exporting active Ledger data

create_time_entry

Mutate global bounds verifying explicitly assigned Ledger additions

list_clients

Identify precise active arrays spanning native CRM identities

list_users

Enumerate explicitly attached structured rules defining Worker identities

See how to talk to your AI agent using Paymo.

List all explicitly active projects returning limits logged statically across Paymo.

Queried projects effectively isolating states. Validated 2 explicit configurations. 1. 'Mobile Revamp' (ID 43xx) tied strictly to Client 90x. 2. 'Backend MLOps Pipeline' explicitly mapped limits. Require granular task extraction natively on #1?

Capture explicit parameters checking active invoices mapped securely under my agency.

Valid REST logic intercepted mapping results fetching `list_invoices`. Extracted JSON natively bound limits tracking two invoices. INV-034: Due logic active, $1,500 status sent gracefully. Would you like me to dump pure JSON outputs explicitly tracking limits?

Log exactly 2 explicit bounds securely mapping '4 hours' worked on task ID t88x.

Passed JSON commands explicitly natively validating insertion logic cleanly in Paymo arrays running background logic. Logged exactly exactly '240 minutes' natively (4 hrs). The pipeline recorded constraints tied properly to task bounds successfully.

Through explicit invocation by pushing bounds mapped securely over `create_time_entry`. You instruct exactly 'Add 2 hours for task XY', and the node bridges those limits pushing explicitly into the structural API.

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