Enables seamless Jira integration through browser-based OAuth authentication, providing tools for issue management, JQL search, and project access without manual API token configuration.
Enables AI assistants to manage Bitrix24 CRM entities, tasks, project kanban boards, and Scrum sprints through an incoming webhook, requiring explicit user confirmation for all write operations.
An MCP server that automates HR onboarding tasks including employee management, email, ticketing, meeting scheduling, and leave management, enabling AI agents to handle new-hire workflows from a single prompt.
A comprehensive MCP server for Jira, Confluence, and Bitbucket that supports both Cloud and Data Center deployments. It provides 136 tools for managing issues, searching documentation, and handling Git workflows like pull requests and pipelines.
A production-ready Model Context Protocol (MCP) server that extends GitHub Copilot with GitHub repository management capabilities. Enables AI-driven issue tracking, repository information retrieval, and seamless GitHub integration.
Enables Boneyard to call authenticated, stateless Streamable HTTP tools for searching tickets and adding ticket comments, with caller context, attribution, and bounded results.
Connects Claude Code, Codex, Cursor, and other coding agents to a project's idea, feature topology, and ordered task queue over MCP, so they can answer planning jobs, claim, build, and tick off implementation tasks live in your repository, or assemble a shareable PRD.
Enables AI agents to search, fetch, create, update, comment on, and resolve ServiceNow incidents using the caller's own bearer token, so all actions respect the token owner's ServiceNow ACLs.
A shared, concurrency-safe ledger for LLM code audits. It enables multiple agents to collaboratively report, verify, and resolve bugs with deduplication and hallucination resistance.
Enables Gemini CLI and other AI assistants to manage todos (create, read, update, delete, filter) through natural language commands via the Model Context Protocol.
Read-only MCP server for ProjectLibre .pod files that enables finding project files, summarizing Gantt charts, inspecting tasks, and analyzing schedules without opening ProjectLibre.
Enables AI assistants to read and safely schedule manufacturing work orders, including checking resource availability, finding free slots, booking without overlaps, and reporting utilization or late risks.
Persistent code finding, requirements, and release tracker for AI assistants. Enables durable memory for code review findings, requirements, dependency blockers, parallel-agent coordination, and release milestones with minimal token overhead.
Enables Claude to create and upload test cases directly into TestRail by finding the right section, checking required fields, and creating cases with steps, expected results, references, custom fields, and optional images from chat or a case-pack JSON file.
Automates error tracking workflow by finding code owners in Bitbucket, retrieving related pull requests, and creating assigned JIRA tickets for code errors.
Enables coding agents to query the dependency graph of a GitHub backlog, retrieve ordered ready work and prerequisite chains, atomically claim issues, and report blockers—so agents work in the correct order and safely in parallel.
Enables read-only MCP access to Yandex Tracker for retrieving issues with comments and attachment metadata, searching issues, reading issue history, downloading attachments, and finding users. It also supports connection status checks and token configuration without exposing secrets.
It enables deterministic household planning by building schedules, injecting controlled faults into isolated scenario copies, comparing constraint failures, and finding independently verified repairs. It also supports approval-gated preview and commit of changes to local demo state through MCP tools.
An MCP server that connects AI assistants to TickTick, enabling project and task management through natural language, including reading projects, finding tasks, creating tasks, and completing work.
Enables AI assistants to interact with Jurisly workspaces for tasks like drafting invoices, finding hearing dates, and editing documents through natural language.
Enables Alexa+ to manage a shared household task list through natural conversation, including checking status, finding overdue or occasion-tagged tasks, adding items, marking them done, and reassigning owners.