"LibreOffice office suite software" matching MCP servers:

Enables reasoning agents to turn PRDs into production-ready applications by discovering and reusing existing features, UI components, database models, and templates, then planning, scaffolding, validating, and preparing Git changes for review.

Enables AI agents to investigate incidents by safely querying PostgreSQL, triaging GitHub issues, retrieving ERP order data, and sending Slack alerts, with AST-validated SQL and human-in-the-loop safeguards.

A Python-based Model Context Protocol server that provides 87 tools for comprehensive interaction with the GitHub API. It enables AI agents to manage repositories, issues, pull requests, workflows, and projects through automated commands.

Centralized MCP server that provides standardized development workflow commands to Cursor AI, auto-detecting project type (Laravel, Next.js, Flutter, Architecture) and offering relevant commands for implementation, testing, and commits.

Enables scanning Python repos for dead code and automatically drafting a branch + PR for the safe subset (unused single-name imports) after running the repo's full test suite. All other findings are reported without modification, and a human always merges.

Governance and session management layer for AI-assisted software development; enables agent binding, session tracking, and structured code review within the HestAI ecosystem.

This MCP server gives AI coding agents structured, scoped access to GitHub issues, a codebase, its docs, and its test suite, enabling issue triage, code search, test execution, and failure analysis in one workflow. It provides deterministic tools for fetching and analyzing issues, searching code, reading documentation, running tests, and summarizing failures.

repo-release-tools mcp-server automates the software release process by managing version bumps, changelog generation, and releases. It streamlines repository maintenance by handling repetitive release tasks directly through your AI assistant.

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.

Enables your ChatGPT or Claude web subscription to drive real remote software engineering on a Linux server, providing isolated Git worktrees, file editing, asynchronous process execution, approvals, commits, and audit. It adds no second server-side AI API token meter.

The GitKraken MCP Server turns your AI assistant into a context-aware development partner by connecting it to git history, branches, issues, pull requests, and multi-repo workflows through GitKraken. It works with all the providers you would expect from the GitKraken software suite such as GitHub, GitLab, Azure DevOps, Bitbucket, Jira, and more.

Provides a local-first MCP server for AI-native software delivery, enabling structured specifications, human approval gates, controlled repository operations, verification evidence, review, and traceability.

Enables automated software development workflow from GitLab issues to merge requests via AI agents, with tools for drafting specifications, implementing code, and managing GitLab operations.

Enables coding agents to scout, rank, and preflight software work before implementation, returning evidence-backed ACT, VERIFY, or SKIP decisions for issues and pull requests.

Codexa is a local change-evidence layer for software workflows, providing committed-change receipts, plan conformance, and verification crediting. It acts as an MCP server to help agents reason about code changes and verify correctness.

Enables LLMs to interact with Bitbucket repositories, primarily focusing on retrieving and reviewing pull request context. It provides a suite of tools for repository operations, allowing users to manage pull requests and explore Bitbucket resources through the Model Context Protocol.

Enables querying the Software Heritage archive for archived origins, capture/visit history, and commit revisions by content-addressable ID.

A version management server for MCP skills that enables automated update detection, parallel version testing, and smart merging of custom modifications with official updates. It allows users to safely switch, rollback, and manage local skill versions through a standardized suite of MCP tools.

A hosted AI software engineer that writes code, opens PRs, reviews code, generates tests, runs security scans, and answers codebase questions. Connect from any MCP client (Claude Code, Cursor, Windsurf, or your own agents) and delegate engineering tasks.

A production-ready MCP server that enables AI assistants to intelligently understand, analyze, edit, navigate, and review software projects with multi-workspace support, Git integration, and semantic search.