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mcp-use

Connector Development Solid
Works inClaude Code Claude Cowork Claude Chat
Solid Scanned — metadata only

Reduces time-to-market for AI-integrated applications by providing a unified framework for building both client-side MCP apps and server-side agents, elimina…

The fullstack MCP framework to develop MCP Apps for ChatGPT / Claude & MCP Servers for AI Agents.

10,342 starsMIT (commercial OK)FreeNo code needed

Reduces time-to-market for AI-integrated applications by providing a unified framework for building both client-side MCP apps and server-side agents, eliminating fragmented tooling and integration overhead.

Full-stack engineering teams building Claude/ChatGPT integrations and AI agent infrastructure at scale.

Claude Code Claude Cowork Claude Chat

https://github.com/mcp-use/mcp-use

By mcp-use

How to Get It

Option 1: Claude Desktop AppOpen the Customize panel in the sidebar → browse connectors → search and add. Works in Claude Code, Claude Cowork, and Claude Chat.
Option 2: Paste into Claude CodeCopy the command below and paste it into a Claude Code conversation. Claude will run it for you.
Command
claude mcp add mcp-use -- npx -y mcp-use

Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.

Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.

First thing to try

Once it’s connected, paste this into Claude:

Help me build custom Claude integrations that connect to my existing APIs and databases
CostFree

Trust Signals Auto-scanned

Stars10,342Last updated2026-07-23LicenseMIT (OK for commercial use)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-07-23 · scanner v1

Data & Access

Data processingPrompts sent to Anthropic API. Enterprise/Team plans exclude training.

Community Pulse New

3 mentions across 1 sources

Reviewer notes

Auto-scanned review. These are observations, not a security certification.

Scored from trust signals (evidence-eval-v1): 10,342 GitHub stars; contributors unknown; last commit 0d ago; license MIT.

Things to check

  • Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.

How to evaluate tools before deploying →

Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.

Evaluation

Ease of Use
4/5
Versatility
5/5
Reliability
3/5
Security
3/5
Overall score3.85 / 5.00 SolidEvaluatedJul 2026
Scored from trust signals (evidence-eval-v1): 10,342 GitHub stars; contributors unknown; last commit 0d ago; license MIT.

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