"Understanding the word 'process' or its usage" matching MCP servers:

Enables MCP-compatible assistants to connect to a user's workspace, read across boards, notes, checklists, habits, money, meals, chores, and chat, and make scoped additions, changes, or removals with attribution.

Enables people to open a shared group chat as a card inside their own AI chat, where they and their AIs talk together and post, claim, and confirm tasks on a self-organizing board. Its tools also let any AI read the repository's code and submit a proposed change that becomes a pull request.

Deprecated, please use Dart connector instead. https://glama.ai/mcp/connectors/com.dartai/dart

Provides tools for interacting with Targetprocess, a project management and agile planning platform, enabling AI assistants to search, create, and update project entities with proper validation.

Enables AI assistants to interact with Targetprocess for search, create, update, and query of entities like User Stories and Bugs, with support for complex filters and data model discovery.

Lets a coding agent read and update a local-first roadmap over MCP, proposing actions, plans and checkpoints, reporting progress or blockers, and marking work complete only with evidence. Everything the agent sends stays a proposal until the user reviews and applies it in the app's planning screen.

Enables an AI assistant to administer a Jira Cloud site with 78 purpose-built tools for behind-the-scenes admin work like custom fields, permission schemes, workflows, screens, issue-type schemes, groups, project roles, saved filters, and bulk operations.

Connects Claude Desktop to Canvas LMS to monitor academic activities like assignments, announcements, and upcoming deadlines. It enables users to track courses and pending tasks through a unified interface using the Canvas REST API.

Exposes a curated set of Bot Army tools (chat, GTD tasks, docs search, dice roll) to external SSE-only MCP clients via authenticated SSE transport.

Read visual bug reports from Feedbug in your AI coding agent: screenshot, console logs, failed network requests, session replay and the DOM context of the element the tester clicked. Trace the bug to its source file, comment and resolve without leaving the editor.

An MCP server for interacting with ClickUp via its REST API, providing tools to manage tasks, search work, and explore workspace structure.

Goal and process maps for humans and AI agents on your own server: agents create and update nodes, manage tasks and automation rules and read the org structure, while people watch the same map live. Connects to your self-hosted killBottleneck instance.

Enables users to screen pasted job offers against a personal skills profile kept in local Markdown files, returning a fit verdict with evidence and deal-breakers while tallying missing skills into a recurring gap radar. It also tracks each offer through its application lifecycle and renders a one-page CV tailored to a specific offer from existing CV data, without scraping, network access, or its own AI.

Process memory for AI agents and humans that remembers the evolution of a project. Provides MCP tools to create timeline events, search history, explain files, and visualize the evolution graph.

Read-only MCP server that fetches a single Jira issue by key and returns its title, description, comments, attachment summary, and image attachments.

Exposes 3 meta-tools to efficiently search and execute 174 backend CRUD tools, reducing context token usage by ~98%.

Enables reading, listing, searching, commenting on, and updating status of ZenTao bugs via its REST API, with write operations defaulting to dry-run.

Enables agents to keep Linear tickets current by treating the description as the ticket's state and comments as its log, with validated section patches, reconciled drift reporting, whole-ticket reads, typed comments, and a hash-checked claim-then-Done gate. Enforces these rules server-side so they hold across any client, including hands-off labels and refusal of stale or unverified writes.

Enables Claude and other AI to interact with the Ekyte platform for task management and time tracking via its internal API, using JWT authentication.

Turns product feedback pinned to a live UI into an actionable backlog for Claude Code — list comments, open one with its target element's HTML, computed styles and screenshot, and update its status.

An MCP server that enforces the clean-room software reimplementation process with role-gated tools and a tamper-evident audit trail.

Minimal MCP server for Jira with configurable tools to reduce token usage, starting from ~150 tokens for basic issue retrieval.

Enables interaction with Basecamp Classic (the original Basecamp) through its API, providing tools for managing projects, to-do lists, messages, comments, people, milestones, and time entries.

Enables interaction with the SuperOps.ai PSA/RMM platform via its GraphQL API, providing tools for managing clients, tickets, assets, technicians, and custom queries.

A generic task manager (like Monday, Jira, Trello) with MCP as its only interface, enabling task and user management via natural language through Claude.

MCP server for the Baton task tracker, enabling AI agents to manage tasks, process inbox events, and collaborate with humans via natural language. Wraps the Baton REST API with 12 tools over stdio.

Enables AI agents to manage a Lendlord landlord account through its private JSON API, covering properties, documents, tenants, maintenance reports, tasks and alerts, rent, transactions, compliance, and filing emails against properties. Supports local stdio or hosted HTTP transports with credential-based login, optional TOTP 2FA, read-only mode, and once-per-session write confirmation.

Enables AI assistants to interact with Linear's project management system through its GraphQL API, supporting issue creation and management, team operations, project setup, status updates, and commenting.

Enables MCP clients to manage Super Productivity tasks, projects, and tags via its Local REST API, including task creation, updates, starting, stopping, archiving, and reading status and Focus Mode state.

Goodday‑MCP is a lightweight Model Context Protocol (MCP) server designed to seamlessly integrate with the Goodday project management platform via its API v2. It enables querying of projects, tasks, and users—without altering any data—making it ideal for secure context-aware applications