"Using Gemini CLI for research purposes" matching MCP servers:

Enables MCP clients to drive local Codex on a target Git repository: inspect repo state, start and follow up on tasks, review events and diffs, and record audit evidence for research governance.

Odds are, most of what you want to build is already open source. Tell your AI agent what you're making, and it finds it: which repos to use as they are, which to adapt, and what's left for you to write. Every repo it names is real, licensed for your use or flagged, and checked live.

Azure DevOps MCP tools for Claude Code and Codex CLI, enabling interaction with boards, work items, repos, and pull requests via natural language.

A custom MCP server that enables AI assistants to perform comprehensive research tasks, including searching ArXiv, summarizing papers via Groq, managing local research notes, and pushing findings to GitHub.

Enables interaction with GitHub by wrapping the gh CLI into two generic tools for executing any gh command and suggesting syntax, providing structured JSON output.

Enables fetching and analyzing Gemini Code Assist reviews from GitHub pull requests, with smart defaults and pagination.

Deployable MCP server for GitHub and Vercel integration. Enables creating repos, pushing multiple files in a single commit, deploying projects to Vercel, managing environment variables, and combined deploy workflows via natural language.

A local MCP server that bridges Claude Desktop/Cowork to the Azure DevOps CLI, enabling full use of az devops, az repos, az boards, az pipelines, and az artifacts commands.

Enables safe, authenticated access to GitHub via local GitHub CLI, providing read-only operations such as listing repositories, issues, and pull requests.

AI-powered code review server that analyzes git diffs and PRs with context from project guidelines and task lists. Supports integration with Claude Code and Cursor via MCP.

Serves sigit.si account, repository, issue, pull request, code-search, session, hook, and billing operations to AI agents over stdio, reusing the token stored by the CLI login and defaulting repository tools to the checkout the agent is pointed at. Tool lists can be trimmed with read-only mode or toolset selection, and a hosted HTTP endpoint offers the same tools.

Self-hosted MCP coding server and unified local Control Center for ChatGPT web, enabling file editing, command execution, Git operations, and optional upstream MCP tools with conversation access controls.

Enables users to safely read, write, edit, create directories, and list trees within a structured local Windows environment, with strict path validation and Git-based undo/version control.

Enables Codex projects to read Git-backed context, acceptance criteria, progress, and handoff packages, and to append validated, audited progress events with matching project-record commits.

Enables Codex users to retrieve Git-backed project context and append validated, audited progress events as matching Git commits, so work can resume safely across sessions.

It reads a project's kickoff card, acceptance criteria, AGENTS rules, progress, Git trail, and handoff package, and appends validated, audited progress events tied to project-record Git commits. This gives Codex agents scoped, credential-bound access to resumable project context and safe handoffs.

Enables AI agents to read a project's kickoff card, acceptance criteria, AGENTS rules, handoff package, progress, Git trail, and next step, then append validated, audited, idempotent progress events that are recorded as a matching Git commit. This keeps project truth in Git so work stays visible, resumable, and safely handable between humans and agents through scoped, short-lived credentials.

Manages isolated Git worktrees for each ZCode thread, enabling safe parallel development with automatic setup, snapshot-based removal, PR review, and background agent orchestration.

An MCP server that wraps the GitHub CLI to provide comprehensive access to repository management, pull requests, issues, and workflows. It enables users to perform complex GitHub operations and interact with the GitHub API through a standardized interface.

An MCP server that wraps around the GitHub CLI tool, allowing AI assistants to interact with GitHub repositories through commands for pull requests, issues, and repository operations.