"Making a presentation in Google Slides" matching MCP servers:

A modular monolith MCP server connecting multiple providers (Redash, PostgreSQL, GitHub) with unified permission, security, and auditing, enabling secure data access and tool execution.

Codebase Q&A agent with git-history awareness. Explore a repo with list_files, read_file, and search, plus git log, blame, and diff and a repo map to answer "why did this change?" questions. Runs locally as an MCP server for Claude Code and other MCP clients.

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.

Zero-dependency stdio MCP server for token-aware prompt version diffs. Compare prompts or files and get machine-readable token delta reports with confidence labels.

A secure and scalable Git MCP server giving AI agents powerful version control for local and (soon) serverless environments.

An MCP server that enables GitHub API operations such as managing repositories, issues, and pull requests through natural language.

Provides access to GitHub v3 REST API functionality through STDIO mode with FastMCP, enabling users to interact with GitHub resources.

Enables AI coding agents to persist structured long-term memory (gotchas, architecture, API notes) in a .context folder and sync across devices and agents via Git.

Enables MCP clients to delegate routine coding tasks to a local model in isolated git worktrees, using test results as a gate and the client as the reviewer before changes are merged.

Quilt gives every AI agent line-level authorship in a shared Git checkout, so multiple agents work in one repo, and each commits only its own lines, with symbol-level claims that block collisions before any bytes change.

Guides AI agents through open-source contribution workflows, from finding issues to submitting PRs, while keeping decision-making and coding with the human contributor.

Enables detection and resolution of Git merge conflicts in repositories through MCP, providing tools to identify conflicting files and assist with conflict resolution workflows.

Bridges Linear issue tracking and GitHub repository management with ARC naming conventions, enabling composite workflows like creating a Linear issue and GitHub branch in one step.

MCP server for Google Jules enabling LLMs to create coding sessions with automatic pull request creation from issues or custom prompts.

MCP server integrating Google Search Console, Google Analytics 4, and GitHub, enabling AI clients to query search analytics, traffic data, and repository information.

Exposes Mavis's coding tools (bash, edit, git, supabase) to Claude Code via the Model Context Protocol, enabling Claude to reason and execute commands in a sandboxed workspace.

Makes git commits on behalf of AI by appending "(aider)" to the committer's name, allowing tracking of AI contributions in your codebase.

An MCP server for orchestrating Google Jules as a remote coding agent from a local coding agent, handling task decomposition, API dispatch, monitoring, intervention, code review, and PR merging.

A sample MCP server built with FastMCP that demonstrates basic tools and a Google OAuth integration for accessing Google APIs like Calendar.

A Bitbucket CLI and MCP server written in Go for managing workspaces, repositories, pull requests, pipelines, issues, and source code. Supports stdio and HTTP transport.