@modelcontextprotocol/client
Enables standardized communication between AI models and external tools/data sources, reducing integration friction and allowing teams to safely extend LLM c…
Model Context Protocol implementation for TypeScript - Client package
- Build a TypeScript application that connects Claude to external tools and data sources
- Create API integrations that let Claude access real-time information during conversations
- Develop custom workflows where Claude processes data from multiple connected systems
Enables standardized communication between AI models and external tools/data sources, reducing integration friction and allowing teams to safely extend LLM capabilities with enterprise systems and custom logic.
TypeScript teams integrating language models with internal tools, APIs, or data sources requiring structured, protocol-compliant connections.
https://www.npmjs.com/package/@modelcontextprotocol/client
By GitHub Actions
How to Get It
npx @modelcontextprotocol/client
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.
After installing, paste this into Claude:
Help me build a TypeScript application that connects Claude to external tools and data sources
Trust Signals Auto-scanned
Community Pulse New
- SEP-XXXX: Server-Side Authorization Management with Client Session Binding — Hacker News · 5 pts
- Sampling – Model Context Protocol — Hacker News · 3 pts
- Evolving OAuth Client Registration in the Model Context Protocol — Hacker News · 2 pts
3 mentions across 1 sources
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
Scored from trust signals (evidence-eval-v1): 12,929 GitHub stars; contributors unknown; last commit 1d 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
Scored from trust signals (evidence-eval-v1): 12,929 GitHub stars; contributors unknown; last commit 1d ago; license MIT.