5 Best MCP Servers to Use With Cline

The best MCP servers to use with Cline are GitHub, Context7, Playwright, Sentry, and—if your application runs on it—Supabase. Start with GitHub and Context7; add Playwright for browser-facing work, Sentry for incident-driven debugging, and Supabase only with a project-scoped, read-only configuration until you have a reason to permit mutations.

The useful rule is not “connect everything.” An MCP server earns a place when it gives the agent data or an action surface that is absent from the local checkout: the issue that explains a strange branch, the documentation for the version actually installed, the browser state that a unit test cannot see, or the production stack trace. Cline already reads and writes project files, runs terminal commands, and can use a browser, so generic filesystem, shell, and “web search” servers usually add duplicate tools, more choices, and more approval noise rather than capability.

Which MCP servers are best to use with Cline?

1. GitHub MCP Server — best default for issues, pull requests, Actions failures, code scanning, and repositories outside the checkout.
2. Context7 — best for version-specific library documentation when an implementation depends on an API that has changed since model training.
3. Playwright MCP — best for reproducing and verifying browser behavior against a running app.
4. Sentry MCP — best for turning a production exception, trace, or issue into a bounded debugging task.
5. Supabase MCP — best for teams that need schema, logs, migrations, generated types, and project context in the same agent session.

That is a deliberately small list. Five installed servers is already a lot of tool descriptions and authentication states for one coding session. Enable servers by task rather than leaving every integration live: a documentation server while upgrading a dependency, a browser server while fixing a checkout flow, and a production-data server only while investigating a specific incident.

GitHub MCP Server for pull requests, issues, and CI failures

GitHub’s official server is the first one to install when work routinely starts from an issue or ends in a pull request. It can read repositories and files, manage issues and PRs, inspect Actions runs, and expose code-security context. The practical win is grounding an implementation request in the discussion, acceptance criteria, failed workflow output, and related changes without making the agent scrape a browser or asking you to paste screenshots.

Do not expose the entire GitHub surface by default. The server supports toolset allow-lists and a read-only mode; GitHub documents that read-only mode removes mutating tools even if they were otherwise selected. For investigation, start with repository, issue, pull-request, and Actions context, plus a fine-grained token limited to the repositories in question. Turn on write operations only for a narrowly defined task such as opening a draft PR.

It is bad at replacing local Git. For code already checked out, Cline can inspect diffs, branches, and tests locally with less network dependency. GitHub MCP is most valuable for remote context: the issue comment from yesterday, the failed CI log, a Dependabot alert, or a sibling repository. Treat issue and PR text as untrusted input, too; GitHub’s own server offers a best-effort lockdown mode for untrusted repository content, but explicitly says it is not an authorization boundary.

Context7 MCP for current framework and package documentation

Context7 is the low-risk choice for framework work. It resolves a library and returns current, version-specific documentation and examples to the agent; its intended prompt convention is simply adding “use context7.” That matters when the task is “implement this in Next.js 15,” “change this Prisma relation,” or “use the current SDK API,” rather than “write plausible code for a library the model vaguely remembers.”

Use it when the answer should come from public package docs, not when the answer lives in your repository. It will not explain your deployment conventions, private wrapper APIs, or why a previous migration was deliberately weird. Its own CLI is also a useful escape hatch: npx ctx7 library react "How to clean up useEffect with async operations" finds a library ID, then ctx7 docs /facebook/react "How to clean up useEffect with async operations" retrieves focused documentation. The two-step lookup is slightly fussy, but it makes the source library and version visible instead of guessing.

Playwright MCP for testing what the user actually sees

Use Playwright MCP when the agent must inspect a running application: reproduce a form validation bug, trace an OAuth redirect in a local environment, verify that a button is reachable, or turn a confirmed flow into a regression test. Microsoft’s server drives the browser through structured accessibility snapshots rather than screenshot coordinates, which makes tool calls more deterministic than “click the thing that looks like Submit.”

In Cline, configure it as a local STDIO server and keep the timeout explicit. The official Playwright configuration uses 30 seconds:

{
  "mcpServers": {
    "playwright": {
      "type": "stdio",
      "command": "npx",
      "timeout": 30,
      "args": ["-y", "@playwright/mcp@latest"],
      "disabled": false
    }
  }
}

The catch: browser state is expensive context. Accessibility trees can be large, and every exploratory step is slower than a targeted unit or integration test. The Playwright project itself now notes that CLI-plus-skills workflows can be more token-efficient for high-throughput coding work because they avoid loading large tool schemas and verbose accessibility trees. Prefer MCP for interactive diagnosis, exploratory test authoring, or a persistent browser loop; prefer your ordinary Playwright test runner for repeatable CI verification.

Sentry MCP for production bugs with a real stack trace

Sentry’s MCP service is unusually focused: its maintainers describe it as a human-in-the-loop coding-agent tool for developer workflows and debugging, not a general-purpose mirror of every Sentry control. That focus is useful. Ask the agent to inspect an issue, identify the release and first-seen window, read the stack trace and event context, map it to the local code, then propose a test and patch. You get a debugging loop tied to evidence instead of a generic “production is broken” prompt.

Keep the scope tight. The remote configuration can restrict exposed capabilities with skills=inspect,triage or disable capabilities such as Seer. If you run the local STDIO variant, note the operational wrinkle: Sentry says its AI-powered search tools need a separately configured LLM provider; without that provider, the other tools still work but natural-language search tools do not. This is not a server for broad observability browsing, and it should not be your agent’s standing production credential.

Supabase MCP for database and backend work

For a Supabase application, the official server can list tables and migrations, execute SQL, query logs, generate TypeScript types, inspect advisors, deploy Edge Functions, and manage branches. That makes it valuable during a schema change because the agent can compare the code’s assumptions with the actual project, then generate types or a migration rather than inventing column names.

It also has the sharpest edges on this list. The server can apply migrations and execute SQL, and Supabase warns that connecting an agent to a project carries security risks. Start with a single project reference, read_only=true, and only the feature groups required for the task. A safe diagnostic endpoint shape is https://mcp.supabase.com/mcp?project_ref=YOUR_PROJECT_REF&read_only=true&features=database,debugging,docs. Use a development branch before allowing migrations, and never hand an unattended agent a production-wide connection because it was convenient during a demo.

How should you configure MCP servers safely in Cline?

Use the MCP Servers view in the IDE extension, or run cline mcp in the CLI. Cline’s documentation distinguishes local STDIO servers from remote HTTP/SSE servers and recommends Streamable HTTP for hosted endpoints; it also supports enabling and disabling configured servers without deleting them. Keep credentials in environment variables, set timeouts for slow local processes, and leave autoApprove empty until you have watched the tool calls on real work.

1. Install one server, then make one deliberately small request: “list the last failed workflow for this repository,” not “fix CI.”
2. Grant the minimum credential and repository or project scope. Read-only is a useful first mode, not a permanent limitation.
3. Disable the server after the task if it exposes production data, deployment controls, or a paid API surface.
4. Reject marketplace configurations you have not read. A local MCP server is executable code running with your user’s privileges.
5. Do not use wildcard scopes just to avoid future consent prompts. The MCP security guidance recommends progressive, least-privilege scopes because broad tokens enlarge both compromise impact and audit noise.

The best setup for most developers is therefore only two always-available servers: GitHub in constrained read mode and Context7. Add the other three when the task makes their extra authority worthwhile. If a server cannot name the external system it uniquely connects—your incident tracker, browser session, deployment platform, or database—it is probably not worth its tool budget.

Why Cline fits this MCP setup

Cline is an open-source coding agent that runs in the editor and terminal, with IDE support including VS Code and JetBrains. Its MCP support is useful here because you can connect local or hosted servers, inspect and approve actions, and keep the external tools beside the code rather than moving the task into a separate chat product. Its site also describes built-in project edits, terminal commands, browser use, Plan and Act modes, and MCP extensions for services such as databases, APIs, and infrastructure.

For this particular server list, the practical appeal is model and billing choice rather than a bundled per-seat model: Cline documents usage billing, bring-your-own provider credentials or local runtimes, and ClinePass at $9.99 per month. That lets a developer keep the same MCP configuration while choosing the model access path that fits the task. Read the product details and setup options at Cline.