MCP Servers for AI Developers (2026) | GitHub, Context7, Playwright, Chrome DevTools, Filesystem, Sentry, Fetch, Git & Linear

Choosing MCP Servers for Coding Agents

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The Model Context Protocol (MCP) lets an AI coding agent use external tools and data instead of relying only on what is pasted into a chat. A short list of servers covers most developer work: the GitHub and Git servers for repositories and history, Context7 for current library documentation, Playwright and Chrome DevTools for driving and debugging browsers, Filesystem for controlled file access, Sentry for production errors, Brave Search and Fetch for live web content, and Linear for project issues. Each added server adds tools, context and permissions, so start with the few that match your workflow and limit what each can reach. The selection here follows a September 2026 list by Arham Ali in Python in Plain English; the descriptions below are written independently and link to each project's own documentation.

01Source articleArham Ali, Python in Plain English (member-only story). 02What is MCP?Official introduction to the Model Context Protocol. 03Official MCP RegistryRegistry for discovering MCP servers.

The Ten Servers

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Each server with its official project or documentation.

04GitHub MCP ServerGitHub's official server for repositories, issues and pull requests. GitHub also offers a hosted remote server, and toolsets let you expose only the tools you need. 05Context7Lets an agent fetch current library documentation instead of relying on training data. Works with many MCP clients. 06Context7 websiteHosted documentation service behind the Context7 server. 07Playwright MCPMicrosoft's server for browser automation: navigate, click, fill forms and read accessibility snapshots. 08Chrome DevTools MCPGives agents DevTools capabilities such as console messages, network requests, screenshots and performance traces. 09Filesystem serverReference server for reading, writing and searching files within directories you allow. 10Sentry MCPSentry's MCP service for bringing issues, errors and traces into the coding workflow. 11Brave Search MCPWeb, news, image and local search through the Brave Search API; requires an API key. 12Brave Search APIThe API behind the Brave Search MCP server. 13Fetch serverReference server that retrieves a web page and converts it into a form that is easier for a model to use. Its documentation warns about exposing internal URLs. 14Linear MCPLinear's official remote server for issues, projects and comments. 15Git serverReference server for repository status, diffs, history and branches. Its documentation describes it as in early development, so features may change.

More Servers Worth Knowing

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Other widely used servers and platform integrations.

16Memory serverReference knowledge-graph memory so an agent can retain facts across sessions. 17Sequential Thinking serverReference server for step-by-step problem solving. 18Supabase MCPConnects agents to Supabase projects; its documentation advises care with production data. 19Stripe MCPStripe's MCP server and documentation for payments tools. 20Docker MCP Catalog and ToolkitRun and manage MCP servers as containers. 21Cloudflare MCPBuild and deploy remote MCP servers on Cloudflare. 22Reference serversReference and community servers maintained under the MCP organization.

Clients & Building Your Own

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Where to configure servers, and how to write them.

23Claude Code MCPConnect Claude Code to MCP servers. 24VS Code MCP serversUse MCP servers in VS Code. 25GitHub MCP in CopilotUse the GitHub MCP server in Copilot. 26MCP InspectorVisual tool for testing and debugging servers. 27FastMCPPython framework for building MCP servers. 28MCP Python SDKOfficial Python SDK. 29MCP TypeScript SDKOfficial TypeScript SDK.

Security Tips

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Servers act with your permissions, so scope them.

30MCP security best practicesOfficial guidance on risks such as confused deputy and token passthrough. 31MCP authorizationAuthorization for HTTP-based transports. 32OWASP MCP Top 10OWASP project listing top MCP security risks.

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Neighbouring pages on this site.

33Top MCP ServersDirectory of MCP servers. 34MCP Design PatternsWays to structure MCP servers. 35AI Coding AgentsAgents that write and run code. 36AI Coding ToolsTools for AI-assisted coding. 37Agentic AI Communication ProtocolsMCP, A2A and related protocols. 38AI Agent GatewaysGateways in front of agents and tools. 39AI Agent Security SolutionsSecuring AI agents. 40AI Agent FrameworksFrameworks for building agents. 41Agentic AIAgentic AI hub. 42Artificial IntelligenceAI hub.

Frequently Asked Questions

Which MCP servers should I install first?

Most developers start with GitHub for repositories, Context7 for current documentation and Playwright for browser work, then add Filesystem, Git, Sentry or Linear as their workflow needs them. Pick servers that match tasks you actually do.

What is the difference between the GitHub and Git servers?

The GitHub server works with hosted GitHub data such as issues and pull requests. The Git server works with a local repository: status, diffs, history and branches.

What is the difference between Playwright MCP and Chrome DevTools MCP?

Playwright MCP is aimed at driving a browser to test and automate pages. Chrome DevTools MCP exposes debugging information such as console messages, network requests and performance traces.

Is it safe to give an agent filesystem access?

Only with limits. Restrict the server to specific project directories, review what write access allows, and avoid exposing your whole machine.

How many MCP servers is too many?

There is no fixed number, but each server adds tools, context and permissions for the agent to handle. A small set you actually use is usually easier to manage than a large collection.

How current is this page?

Links were checked in October 2026. MCP servers, package names and remote endpoints change quickly, so confirm setup details in each project's own documentation. Sites that block automated checks are kept and may need a manual click.