"Cinema 4D" matching MCP servers:

A fully-featured GitLab MCP server that provides 25 advanced capabilities for interacting with GitLab via REST API, including repositories, merge requests, issues, and global search.

Enables GitHub MCP tools to target multiple GitHub App installations by selecting a repository, organization, or user scope per request.

Enables AI assistants to manage Markdown content in GitHub repositories as a headless CMS, with operations to list, read, create, update, and delete files always through a branch and pull request workflow.

Enables surgical markdown edits across GitHub repositories through a claude.ai custom connector, batching multiple changes into exactly one commit.

Standalone MCP server for GitHub that enables repository management, branch operations, pull request handling, and commit retrieval via tools listed in the README.

An ed(1)-inspired MCP server that provides a single-character command protocol for managing Git repositories, GitHub actions, and Fravia web searches. It is optimized to minimize LLM token usage while performing version control and search tasks through concise POSIX shell scripts.

An MCP server that diagnoses GitHub Actions workflow failures and automatically creates repair pull requests using LLM-generated unified diffs. It includes a governance layer to orchestrate autonomous fixes or human-reviewed repairs based on risk assessment thresholds.

A lightweight MCP server that acts as a secure proxy for AI assistants to run local Git operations and GitHub API macros simultaneously.

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 humans and AI coding agents such as Claude Code, Codex, Cursor, and Gemini CLI to pass in-progress work between each other through shared, versioned, authenticated context that preserves decisions, artifacts, evidence, review history, and authorship. It exposes identity, search, retrieval, review, continuation, publishing, and portability tools over a Streamable HTTP endpoint.

Lets ChatGPT or MCP clients work with files on your machine, with tools for reading, editing, searching, git operations, and safety checks.

Turns application errors into reviewed pull requests by automating root-cause analysis, Jira ticket creation, local and CI test gates, and GitHub PRs, with a human as the final merge gate.