"Documentation for Vercel AI SDK" matching MCP servers:

Enables MCP-compatible clients to manage AI agent teams, including agents, Kanban issues, projects, goals, approvals, budgets, and raw API access.

Provides AI assistants with a standardized interface to interact with the Todo for AI task management system. It enables users to retrieve project tasks, create new entries, and submit completion feedback through natural language.

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.

Pre-flight scoring for AI agents, returns Accelerate, Fix, or Stop with EUR value range, decision confidence, and pace-layer drag.

Enables creating Jira issues and listing issue types for a Jira Cloud project using Basic Auth credentials.

A deterministic MCP server that reimplements ai-git-fish workflows (aicommit, aibranch, aipr) with Leantime integration, enabling Claude Code and Codex to perform git operations and manage tickets without an internal LLM.

Lets any MCP client drive the recruiting workflow in natural language: create roles, screen CVs, schedule and manage candidate interviews, and read back scored reports with transcripts.

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.

Model Context Protocol (MCP) server for Monnet. Exposes motions, plans, and approvals to MCP-compatible clients so you can work with your Monnet workspace from your terminal without leaving your AI assistant.

Enables teams to measure their actual ticket-writing style from GitLab, Jira, or GitHub and check new or draft tickets against that learned house profile, with optional model-backed drafting.

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.

Enables management of TestMu AI test projects, test cases, test runs, and integration with Jira, HyperExecute, and AI insights through natural language.

A shared coordination layer for multiple AI coding assistants, exposing a persistent task queue, per-task message threads, and progress tracking via JSON files on disk.

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

Repository-native protocol and MCP server for coordinating work items, documentation, changelogs, and project memory between humans and AI agents, using Markdown files in a Git repository as the canonical data source.

Enables AI assistants to interact with SMB platform APIs for querying business data, managing tasks, accessing connectors, dashboards, and monitoring security.

Connects to your Smartsheet account, enabling Claude Code to browse workspaces, read sheets, and generate documentation.

MCP server for DCI API enabling AI models to extract and analyze DCI jobs, components, and topics, with integrations for Google Drive, Jira, GitHub, and Red Hat support cases.

Enables Claude to interact with Jira, Salesforce, and n8n through MCP tools, allowing automated reading of Jira stories, deploying Salesforce metadata, and triggering n8n workflows.

Enables AI assistants to manage COR project management platform resources like projects, tasks, hours, clients, teams, and users through natural language.

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.

Enables AI agents to read-only inspect an OmniFocus database, retrieving exact tasks and projects, Inbox roots, complete project hierarchies, tags, dates, notes and workload or review overviews. All access is read-only and bounded, with no mutation, write tools or sync triggers.

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.

Provides structured DevOps practices and templates (tracking, documentation, runbooks) to streamline AI-assisted PoC development, reducing CLAUDE.md bloat and ensuring consistency across projects.

Enables AI assistants to coordinate with teammates and agents via Clink, supporting group management, clinks, milestones, projects, and voting.

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.

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

Enables agentic coordination by connecting humans and AI agents through group messaging, project tracking, and milestone management. It provides tools for consensus voting, progress checkpoints, and multi-session collaboration across various agentic platforms.

MCP server for AL Object ID management in Microsoft Dynamics 365 Business Central development. It provides intelligent object ID allocation, collision prevention, and team collaboration features.

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