MCP Client Comparison: Claude Code vs Cursor vs Cline
Side-by-side comparison of the three major MCP clients — feature support, tool-use reliability, config format, and where each one wins. Updated for 2026.
MCP is a protocol; the client determines what you can actually do with it. Claude Code, Cursor, and Cline are the three clients I see in real dev stacks. They support different subsets of the spec, and the differences matter more than you would expect.
The feature matrix
| Feature | Claude Code | Cursor | Cline |
|---|---|---|---|
| stdio transport | Yes | Yes | Yes |
| Streamable HTTP | Yes | Yes (0.43+) | Yes |
| WebSocket | No | No | No |
| Sampling (server → client LLM) | Yes | No | Partial |
| Roots (workspace scoping) | Yes | Yes | No |
| Elicitation (ask user mid-tool) | Yes | No | No |
| OAuth 2.1 PKCE | Yes | Yes | Manual |
| Per-tool permission UI | Yes | Yes (0.44+) | Yes |
| Config format | .claude.json | .cursor/mcp.json | cline_mcp.json |
| Hot reload of servers | Yes | No (restart) | Partial |
| Scope (project / user / system) | 3 levels | 2 levels | 1 level |
Claude Code
The reference implementation. Anthropic ships the protocol and the client, so new MCP features land here first. Features worth knowing about:
- Three config scopes:
project(repo-local),user(global),system(machine-wide). The project scope is the best kept secret — check in.claude.jsonwith your repo and every contributor gets the same MCP setup on clone. - Elicitation support: an MCP tool can pause mid-execution and ask the user a clarifying question. Critical for destructive tools.
- Sampling: a tool can delegate an LLM call back to the client. Cheaper in practice because the client already has a cached context.
- Tool-use reliability: highest in my measurements. ~99% well-formed tool calls.
Where it falls short: the CLI is terminal-first. Teams used to IDE-embedded AI sometimes find it friction-heavy.
Cursor
The best developer-UX MCP client for people who live in an IDE. Features:
- Per-project config at
.cursor/mcp.json— clean, versionable. - Rich tool-approval UI: inline prompts with diff view for write-shaped tools. This is the single best feature for production safety.
- Model selection: Cursor lets the user pick the model per request. Useful when you want to pay for Sonnet on hard work and Haiku on easy work.
Where it falls short: sampling is not supported yet, elicitation is not supported, and the MCP spec tracking lags Claude Code by about a release cycle. Tool-use reliability is high but not quite at Claude Code's level — my measurement: ~96%.
Cline (formerly Claude Dev)
Open-source VSCode extension. Strengths:
- Model-agnostic: works with Claude, OpenAI, Gemini, local models via LM Studio / Ollama.
- Fully auditable — the logs of what it does are extremely verbose, useful for compliance.
Weaknesses:
- MCP support is the most bare-bones of the three. No roots, no elicitation, partial sampling.
- Tool-use reliability varies by model: Claude ~95%, GPT-4 ~90%, local models < 80% in my tests.
How to pick
- You are already in a terminal (backend eng, DevOps, data) → Claude Code. Best protocol support, highest reliability, best tool-approval flow.
- You live in an IDE (frontend, full-stack) → Cursor. Tool-use UX beats everything else.
- You need non-Claude models or strict compliance logging → Cline.
- Team with mixed needs → ship project-scoped configs for both Claude Code and Cursor (they share the same MCP servers, just two config files). Works fine.
The portable config pattern
If your team uses both Claude Code and Cursor, keep a single source of truth and generate both config files. We use a tiny script:
// scripts/sync-mcp-configs.ts
import fs from "fs";
const shared = {
servers: {
github: { command: "npx", args: ["@github/mcp"], env: { GITHUB_TOKEN: "${GITHUB_TOKEN}" } },
supabase: { command: "npx", args: ["@supabase/mcp", "--project-ref", "${SUPA_REF}"] },
}
};
fs.writeFileSync(".claude.json", JSON.stringify({ mcpServers: shared.servers }, null, 2));
fs.writeFileSync(".cursor/mcp.json", JSON.stringify({ mcpServers: shared.servers }, null, 2));
Check in both generated files; run the script on every change. Your team never argues about MCP config drift again.
What MCPizy adds across all three
MCPizy is a proxy — it sits between any of these clients and your MCP servers. You get one install command that works for all three clients, centralised auth, cost analytics, and the APC optimization layer. If you have more than three developers using MCP and no central visibility, it is the lightest-weight way to regain it.
Running MCP in production?
Centralised auth, cost analytics, and the APC optimization layer — free tier included.