"How to use Canva" matching MCP servers:

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Enables AI coding agents to compute a 0-1 diff risk score for the current branch or any pull request, exposing the driving signals, evidence, tier and resulting auto-approve or human-review policy decision. Agents can use it to decide whether a low-blast-radius, AI-reviewed PR is safe to merge automatically while flagging risky changes for a human.

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.

Decentralized Git with on-chain governance, bounties, and DAOs. Tools for repos, issues, PRs, labels, releases, bounties, and DAO proposals. Auto-wallet on first use, trust tiers, and approval mode for human-in-the-loop.

Converts Jenkins declarative pipelines into GitHub Actions workflow YAML files, facilitating migration from Jenkins to GitHub Actions CI/CD.

Enables an MCP-capable assistant to review GitLab merge requests, GitHub pull requests, and pre-push local branches against ticket requirements, domain rubrics, compiler/lint pre-passes, blast-radius analysis, and SonarQube findings, and to draft inline comments or follow-up tasks in the user's chosen language. Nothing reaches a remote host until a human approves the exact content in an interactive terminal.

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.

An MCP server that enables AI agents to retrieve detailed GitHub Pull Request information using git commit hashes, branch names, or PR numbers. It automatically detects repositories and extracts comprehensive PR data including descriptions, labels, and reviews via the GitHub CLI.

Manages parallel Git worktrees, enabling work on multiple branches simultaneously without stashing or context switching.

Enables AI agents to use GitHub through MCP while enforcing flow tracking, default-deny policy, human approvals, tamper-evident audit logging, and short-lived scoped tokens to block private-to-public leaks. Currently pre-alpha with only a placeholder tool.

Enables full-stack compiler development across the hw-native-sys workspace by combining repository operations (git health, code search, task running) with a knowledge layer for architecture docs, task routing, and abstraction/pass pipeline information.

Helps AI read GitHub repository structure and important files. Want to quickly understand what a repo is about? Prompt it with "read https://github.com/adhikasp/mcp-git-ingest and determine how the code technically works".

Provides a clean interface for Perforce (P4) operations in Claude Desktop, wrapping P4 commands for reliable, non-interactive use with structured responses and multi-project support.

Enables AI models to access GitHub repository contents as context, with features to fetch entire repositories, specific file contents, and repository structures for use in AI interactions.

MCP server that enables your agents to use coding rules from any or your GitHub repository. Instead of workspace rules files, you can now prompt agents to access the your coding rules from any repository.

An MCP server that gates agent pull request merges by scoring each diff's blast radius with ripwire, letting changes at or under a threshold through automatically. Changes over the threshold are blocked until a human reviews the exact diff and signs a single-use, expiring approval with a local CLI.

Enables coding agents to query a codebase's git-history coupling graph to find blast radius, missing coupled files, explain why files change together via PRs/issues, and report how much of the graph was inspected.

A comprehensive MCP server providing secure tools for filesystem operations, Git management, web search, document conversion, npm/.NET project management, and AI generative capabilities (image/video/audio generation and processing) via PiAPI.ai integration.

Local MCP server enabling Codex and ChatGPT to read/write files, execute commands, manage processes, use Git, and inspect images on the user's machine with full privileges.

Provides a read-only MCP bridge that lets Claude Web inspect workspace files, git state, and recorded test results while Codex remains the sole executor of changes.

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 ChatGPT to browse, read, search, create, and edit files, run commands and Python, and use Git within configured local workspaces, with permission controls, background job management, and tunnel-based access.

A read-only remote MCP gateway that lets MCP-capable agents discover GitHub REST endpoints and run many read-only GitHub reads (files, issues, comments, pull requests, checks) inside a single sandboxed JavaScript execution, returning only the compact result needed. This cuts model/tool round trips and context use, with enforced read-only access, repository allowlisting, and GitHub App authentication.

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

Enables ChatGPT web, desktop, and computer use to access and automate a Mac via 228 MCP tools, including local files, Git, processes, macOS native automation, browser control, and durable goal continuation.

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

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

Indexes commit history to create a queryable expert, providing insights into code evolution, developer intent, and hidden patterns beyond static code analysis.

Integrates AI assistants with GitLab API to manage projects, issues, merge requests, files, and more through MCP tools and resources.

Enables AI agents to access private GitHub repositories, organizations, issues, pull requests, and file contents via OAuth authentication.

Enables listing and fetching .gitignore templates from GitHub's gitignore repository, and composing combined templates.

An MCP server that exposes Gerrit code review operations as capability-gated tools, enabling AI agents to search and read changes, publish comments, vote, and manage change state, with write capabilities as explicit opt-in.

Provides MCP servers that wrap developer tools like git, npm, Docker, and test runners, returning schema-validated, token-efficient JSON so agents can use structured data directly.

Splits messy, multi-concern git diffs into focused groups and generates a clear, accurate commit message for each, exposed as an MCP server for use with MCP-compatible clients.

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

Audits GitHub repos and profiles for hiring signal, providing tools audit_repo and recruiter_scan for use with MCP clients.

Enables an AI assistant such as Claude Desktop to read and edit files, run commands in a visible terminal, use git and GitHub, and inspect language-server errors inside VS Code. Adds approvals, a pause switch, audit logging, and secret redaction while staying local-only with no telemetry.

Provides comprehensive access to GitHub repositories, issues, pull requests, commits, user profiles, and statistics through 10 tools with natural language query support and advanced search capabilities.

Enables AI agents to upload temporary public review artifacts (screenshots, screen recordings) to Neon Storage and obtain shareable URLs for use in GitHub PR descriptions, issue comments, and agent reports.

AI code reviews and git activity digests with machine-readable risk scoring, available as an MCP server for use within an agent session.