"Building voice agents and controlling SIP phones" matching MCP servers:

Enables building a daily standup from real GitHub activity and spoken notes, exposing tools to fetch a voice-ready summary, capture tasks, bugs and blockers, list and complete items, and file deduplicated GitHub issues. Output is voice-first, returning a short spoken version alongside markdown for the screen.

MCP tools that let a coding agent assemble, validate and store a structured handoff document describing a change just finished, then let a receiving agent read that handoff narrowed to its own repository's required actions.

Secure localhost MCP gateway that exposes project-scoped file/Git/search tools and controlled CLI agent adapters (Codex, Claude) with fixed argv for safe Windows-native agent work.

A free, local room where multiple MCP-compatible AI coding agents collaborate on one codebase — collisions prevented, human in command.

A FastMCP-based server designed for the banking and fintech domains, providing tools for database queries, Git operations, and deployment management. It features a modular architecture with reusable prompt templates and integrated security practices for sensitive data handling.

Enables searching GitHub users and repositories, fetching details, and performing stock market technical analysis via AlphaVantage.

Connects coding agents to Amendor to pull change requests from live sites and automate building branches and pull requests.

Enables AI assistants to scout GitHub for existing open-source projects, libraries, and frameworks before building from scratch, offering tools for stack suggestions, repository searches, and detailed repo evaluation.

Enables building structured release evidence by comparing two Git refs and correlating commits, merged pull requests, linked issues, labels, changed files, and contributors.

Enables MCP clients to commit to a 3D GitHub commit town, where each agent's commits build a progressively larger building, from cottage to skyscraper.

First gitlab mcp for you, building together

Enables controlling an autonomous multi-agent engineering swarm from MCP clients, including starting and managing tasks, spawning agents, triggering PR reviews, and checking swarm status.

An MCP server for interacting with the Backlog API, enabling AI agents to manage projects, issues, wikis, and more, with support for restricting access to a subset of Backlog projects.

Provides ~200 auto-generated tools and resources for LLM agents to interact with Gitea and Forgejo instances via the Model Context Protocol.

A Model Context Protocol server that enables AI agents to securely access and interact with GitHub Enterprise data, providing access to enterprise users, organizations, emails, and license information.

An MCP server that wraps git-worktree-runner to enable AI agents to manage git worktrees safely.

Enables coding agents to inspect projects, claim worktrees, and move or start dev servers without changing ports, while coordinating with human-owned locks.

Enables coding agents to read locally submitted code-review comments and diff context over MCP, so they can fix the code and request another review.

Enables autonomous Jira-to-PR workflows in Claude Code by fetching context from Jira, GitHub, Notion, and Slack, building structured prompts, and handling branch pushes, PR creation, CI polling, and task completion.

Exposes code graphs across multi-program repositories via MCP, enabling humans and agents to query the fleet with evidence.

MCP server for Tidy, a backup and sync app. Enables AI agents to manage folder backups, schedules, and git sync operations via natural language.

Gives MCP clients a read-only, evidence-based view of explicitly approved local projects and individual Codex sessions, enabling codebase browsing, session review, and comparison of session records against current source and bounded Git history without modifying sources or controlling sessions.

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 AI coding agents to manage Git worktrees by creating, listing, removing, and cleaning isolated workspaces through MCP tools.

Enables AI agents to search commits, retrieve diffs, and inspect file change history in a Git repository using MCP.

Wraps GitLab's public REST API v4 to allow AI agents to interact with GitLab public data without authentication.

Enables AI agents to query and manage GitLab projects, issues, merge requests, and file contents via the GitLab REST API v4.

Enables AI agents to queue, commit, push, and track durable Git transactions through a shared daemon, preserving other agents' unstaged work and allowing recovery by request ID.

Enables AI agents to interact with GitHub via natural language, supporting repository management, issue tracking, file commits, and more.

Enables coding agents to receive and act on voice-captured tasks delivered as GitHub issues, including retrieving full context, adding notes, asking the developer questions, and closing tasks when complete.