"semantic-release" matching MCP servers:

Enables AI coding agents to orchestrate the full software development lifecycle on GitHub, including planning, issue creation, code review, security triage, and release readiness checks.

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 AI agents to manage Jira Cloud projects with full CRUD operations, bulk actions, sprint and release management, and issue linking using natural language.

Enables agents and teams to manage versioned delivery work items, role-tagged handoffs, revision- and source-bound evidence, QA gate evaluation, and release-owner attestations through MCP tools.

Helps teams standardize implementation quality with project-aware rules, code review, health scoring, and an active agent workflow for intake, planning, verification, and release.

Automates task delivery by providing tools for running delivery workflows, creating merge requests, updating Jira issues, and generating release notes.

An AI-powered MCP server unifying Jira, GitHub, and Confluence integrations, enabling sprint health analysis, smart issue creation, and release notes generation via natural language.

NavisCoord connects desktop AI clients to Autodesk Navisworks Manage on Windows for clash analysis, coordination groups, revision comparisons and illustrated reports. Version 1.0 is under release review in PR #19 and requires a licensed local Navisworks installation.

Enables read-only Jira Data Center insights by default, with opt-in audited write tools, sprint and release health summaries, and structured issue search via MCP.

Enables AI clients to document a code repository inside an Obsidian vault, capturing tasks, incidents, feature guides, architecture decisions, and release notes with per-claim evidence and cited sources. It reads the repo read-only through a configurable allowlist and previews every change before a single-use confirmation code applies it.

An AI-friendly JIRA integration server using the Model Context Protocol, providing semantic tools for searching and interacting with JIRA issues without requiring JQL knowledge.

A host-local stdio MCP server that lets AI agents read and create tasks, comment, and run a full claim/heartbeat/release/complete lifecycle with automatic process identification, all through local-first actions that sync to a task workspace without exposing a GitHub token.

Provides tools for querying and updating Notion database rows by exact property filters, avoiding semantic search for reliable row selection.

Enables Claude AI to interact with JIRA for project management and issue tracking, supporting JQL queries, comprehensive issue details retrieval with subtasks and linked issues, and release planning analysis.

An intelligent context management layer for the Brain Knowledge Management System, implementing semantic routing and human-in-the-loop workflows.

Enables AI clients such as Cursor to interact with GitHub repositories and perform issue listing, triage, health checks, prioritization, commenting, weekly digests, and release-note generation through purpose-built MCP tools.

Task and project management MCP server with OAuth for Claude Desktop, Cursor bridge, semantic search, staged write approval

Enables MCP clients to read fictional-replay or authorized live care-visit state and receipts, record visit confirmations or non-occurrence, and atomically claim, resolve, or release follow-up tasks.

Enables interaction with Azure DevOps through natural language in Cursor IDE. Supports work item management, pull requests, builds, releases, test management, and guided workflows for development teams, QA testers, and release management.

A file-based task manager operated through an MCP server, enabling agents to create, search, and manage tasks with git versioning and hybrid semantic+keyword search.