"Pivotal Tracker" matching MCP servers:

MCP server for tracking personal expenses via natural language, with tools to add, list, and summarize expenses, backed by Postgres.

MCP server for tracking Japanese logistics carriers (Yamato, Sagawa, Japan Post) via mock or AfterShip adapter. Enables AI agents to query shipment status and history in natural language.

Enables AI assistants to query your pet's location, tracker status, position history, and more via the Tractive GPS pet tracker.

Enables local-first expense logging, editing, and analysis through natural language conversation, backed by a SQLite database and accessible via MCP over stdio.

Crypto Tracker AI - MCP server providing AI-powered tools and automation by MEOK AI Labs

AI job search and job application tracker. Search live jobs by title, location, salary, date posted, and remote or on-site, and see each one checked on real data: pay against market rates, ghost-job signals, visa sponsorship history, and how well it matches your resume. Check how hiring software reads your resume, track applications, set follow-up reminders, and get email alerts.

Token-cost telemetry for OpenClaw, queryable from Claude or any MCP-aware agent. Provides per-agent and per-provider cost attribution, anomaly detection, model-routing recommendations, and 30-day forecasts.

A Model Context Protocol (MCP) server for tracking personal expenses. This server provides tools to add, list, and summarize expenses, utilizing a local SQLite database for storage.

Enables AI assistants to securely interact with Yandex Tracker, managing issues, queues, comments, worklogs, and search, including attaching files to issues.

Enables tracking work time with start/stop timers, logging entries, and generating reports.

This MCP enables access to Yandex Tracker issue management. Currently it supports all read operations to retrieve queues, issues and users from Yandex Tracker.

Enables tracking job applications through a pipeline, scheduling follow-ups, and summarizing job search progress via natural language.

A personal expense tracker exposed over MCP, enabling users to log and query expenses in natural language sentences. It features category inference, recurring expenses, soft deletes, and SQLite storage with no external database.

Enables AI assistants to track, query, summarize, and delete personal expenses stored in a local SQLite database via natural language.

Enables LLMs to record, list, update, and delete expenses and credits in a local SQLite database, with enforced categories and running balance summaries.

Enables AI assistants like Claude to manage personal expenses locally using SQLite. Supports adding, categorizing, summarizing expenses, setting budgets, and exporting data without cloud services.

Enables expense tracking through the Model Context Protocol, using FastMCP for easy setup and testing via MCP Inspector.

MCP server for managing personal expenses, enabling users to add, list, and summarize expenses by category, with data stored in a local SQLite database.

Enables tracking and managing personal expenses through a local SQLite database. Supports adding, editing, deleting, listing, and summarizing expenses by category, as well as managing credit accounts.

A local, JSON-first calorie and protein tracker for agents and shell workflows, providing a CLI and MCP server for meal tracking, goal management, and summaries with SQLite storage.