"Using the Vercel API" matching MCP servers:

Enables management of TickTick tasks and projects through the Model Context Protocol, supporting deployment on Vercel with SSE capabilities. Users can list, create, update, and complete tasks directly within AI clients like Claude.

Enables MCP-capable assistants to read projects, work packages, and comments from an OpenProject instance using a personal API key.

MCP server for Jira Cloud that lets AI agents search, read, and write Jira issues using your own Atlassian account and API token, with write operations gated behind explicit opt-in.

An MCP server that analyzes Linear feature dependencies using dominator analysis to identify the keystone ticket that unblocks the most downstream work.

Exposes a Notion-synced AI OS as read-only MCP tools, enabling MCP-compatible AI clients to search the vault, fetch page contents, list projects, and check project statuses without scraping public links.

Connects Claude and other MCP-compatible AI assistants to the AI Bounty Board, enabling natural language discovery, claiming, and submission of bounties.

Extract structured action items from meeting transcripts and notes using the actions.xyz API

Connects AI assistants to the Lanten property management API, allowing them to manage tenants, units, and work orders using natural language.

Enables AI agents to read and change jobs, job status, customers, quotes with line items, invoices, quote and invoice email, payments, and Scheduler bookings in an account by reusing the user's own signed-in Chrome session, with no official API keys needed. Ships read-only hints and confirmation prompts for tools that reach other people, and can be run over stdio or streamable HTTP.

An MCP server that talks directly to Jira Cloud REST API v3 using static credentials and exposes tools for discovering customfield IDs, resolving account IDs, and updating issue fields including ADF JSON.

MCP server that enables accessing Jira and Confluence using browser cookies captured via a Chrome extension, avoiding the need for API tokens or browser automation. It wraps the mcp-atlassian toolset and works with Atlassian Cloud and Server/Data Center behind SSO.

Enables multiple AI agents and humans working in the same project to share status, exchange messages, and claim files through a local collaboration board. It supports project-specific enablement, conflict-aware file claims, and shared state via SQLite.

An MCP server for interacting with self-hosted Jira instances using Personal Access Token (PAT) authentication. It enables users to perform CRUD operations on issues, search with JQL, manage comments, and list projects through the Jira REST API.

Enables AI assistants to search, create, update, and manage work items in Azure DevOps using natural language.

Enables viewing, creating, and managing time registrations, absences, and timesheet approvals through the Timelog API using natural language.

Enables AI assistants to query and modify Amazing Marvin tasks, projects, labels, and subtasks, using a local mirror for fast reads and the official REST API for writes.

Provides read-only access to JIRA REST API, enabling LLMs to query and retrieve information from JIRA instances.

Enables local MCP clients to securely inspect and operate a project's HTTP API, with generated tools for todos, dashboards, announcements, finances, materials, and related workflows using scoped API keys.

Enables AI assistants to interact with Atlassian Confluence Cloud by providing tools to create, update, search, and delete pages. It facilitates seamless content management within Confluence spaces using Markdown and the Confluence REST API.

Bridges stdio-only MCP clients — or machines that cannot open a browser, such as CI, servers, and containers — to a remote fenbs board over HTTP using a hand-issued token. It lets an AI assistant act as the token's owner on that board, listing and managing tasks, decisions and standing rules, projects, and pre-approved work within the scopes granted.

MCP server enabling AI assistants to connect to Kula recruiting API for managing jobs, candidates, applications, webhooks, and more.

Enables MCP clients to discover and execute 172 ClickUp API v2 and v3 operations using a personal API token, covering tasks, Workspaces, Spaces, Folders, Lists, comments, custom fields, time tracking, webhooks, Docs, and Chat. Includes read-only mode and attachment uploads, with separate tools for searching operations, inspecting schemas, and running read or write calls.

An MCP server that provides AI assistants with access to the EARLY time tracking public API, enabling time entry management, activity management, and report generation through natural language.

Enables interaction with self-hosted Plane project management instances using X-API-Key authentication, offering tools for project discovery, issue management, and workflow state operations.

An MCP server that provides operational tooling over the GitHub API — issue triage, PR review monitoring, repo health audits, and team access reviews.

Enables coding agents to set up and manage the environment around a project — deployments to GitHub, Vercel and Railway, secrets, domains, technology choices and business systems — with help that adapts from guided walkthroughs to terse facts. It also researches companies and drafts offers using the user's own model and tokens, and reads project goals, decisions and a public technology catalog.

Enables AI assistants to manage Tempo timesheets and perform write operations such as create, update, delete, submit, approve, reject, reopen, and recall, with user confirmation safeguards.

A local MCP server that lets you interact with Asana using a personal access token, providing tools to list projects and tasks, search tasks, create and update tasks, and add comments via the Asana REST API.

A server that enables AI assistants to interact with Linear's project management tools through the Model Context Protocol, supporting features like searching, creating, and updating issues, adding comments, and retrieving user profiles and team information.

Enables AI assistants to interact with the Just Plan It (JPI) job scheduling and resource management system through 69 MCP tools covering full CRUD operations for jobs, tasks, templates, components, and resources.