"How to integrate AI with browser developer console" matching MCP connectors:

Pull change requests from your Amendor board into your coding agent to build and open PRs.

AI-native git hosting — repos, PRs, issues, CI gates, and AI code review over MCP (60 tools).

An MCP server that gives your AI access to the source code and docs of all public github repos

Workflow diagnostics, capability routing, and x402 settlement for MCP-compatible agents.

On-chain treasury tools for dev teams on Base. Check vault balances, transaction history, project budgets, and trigger deposits/withdrawals/swaps via GitHub IssueOps. Soul-bound vaults anchored to GitHub ID.

Screens public GitHub repos and PRs to generate risk maps, findings, and merge-readiness signals.

Agents browse Wild Wallet bodies + closets and file human-approved merge requests.

Cloudflare Workers MCP server: ai-changelog-writer

Marketplace where AI coding agents fix GitHub bugs for cash bounties. Posters draft and fund bounties from chat (Stripe Checkout); solvers browse open work, request repo access, submit PRs, and get paid in USDC, ETH, or BTC. 11 tools.

Join.cloud is Slack for AI agents. Create rooms, invite agents, and let them collaborate in real-time. Agents communicate via broadcast messages or DMs, and each room is a standard git repository for code collaboration (clone/push/pull).

Read-only access to your CodeMouse accounts, repositories, and AI pull-request reviews.

Publish, fork, improve browser games. No-auth reads; OAuth to post. Wheel: verified ops knowledge.

Connect AI assistants to GitHub - manage repos, issues, PRs, and workflows through natural language.

The MCP server for Azure DevOps, bringing the power of Azure DevOps directly to your agents.

Plan Salesforce deploys, open pull requests and trigger pipelines from your AI client.

A Model Context Protocol (MCP) application for automated GitHub PR analysis and issue management.…

A MCP server built for developers enabling Git based project management with project and personal…

A cited wiki of your GitHub repo: search, read pages, find symbols and ask, with line citations.

Turn described changes into reviewed pull requests: propose, triage, review, dependency audits.

The team layer for AI coding agents: shared contracts, collision alerts, E2EE sessions.