mcp-setup

Configure MCP servers for codebase intelligence in .claude/settings.json.

1|Updated Mar 29, 2026
One-click install
npx skills add https://github.com/dmedina-dev/dev-forge --skill mcp-setup-dmedina-dev
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: mcp-setup
Source: https://github.com/dmedina-dev/dev-forge/tree/main/plugins/forge-context-mcp/skills/mcp-setup
Command: npx skills add https://github.com/dmedina-dev/dev-forge --skill mcp-setup-dmedina-dev

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Developers need reliable, up‑to‑date code intelligence to avoid hallucinations and gain accurate navigation across diverse codebases, but configuring external MCP servers can be complex and error‑prone.

Core Features & Use Cases

  • Context7 – Provides live library documentation, eliminating stale API references.
  • Serena – Offers LSP‑based go‑to‑definition and find‑references across 20+ languages.
  • XRAY – Delivers on‑demand structural analysis with ast‑grep patterns, no indexing required.
  • Use Cases – Small projects benefit from Context7 alone; medium projects add Serena for richer navigation; large, multi‑language codebases gain full insight with XRAY combined.

Quick Start

Ask the assistant to configure the desired MCP server, for example, “Configure Context7 for this project.”

Frequently Asked Questions about mcp-setup

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I configure MCP servers for code intelligence in my project?

To configure MCP servers for code intelligence, add server definitions to the .claude/settings.json file. This enables the AI assistant to invoke mcp__context7__, mcp__serena__, and mcp__xray__ tools for live documentation, navigation, and structural code analysis.

What does Context7 do for AI code assistants?

Context7 provides live library documentation for AI code assistants, eliminating stale API references. It ensures your assistant has up-to-date information when working with diverse codebases, which is especially useful for small projects needing accurate library context.

Can I use Serena for go-to-definition across multiple programming languages?

Yes, Serena offers LSP-based go-to-definition and find-references capabilities across 20+ languages. It provides rich navigation for medium to large projects by connecting language server protocols directly to your AI assistant.

Do I need to index my codebase before using XRAY for structural analysis?

No, you do not need to index your codebase before using XRAY. XRAY delivers on-demand structural analysis using ast-grep patterns, providing immediate code insights without the overhead of building a search index.

What's the best way to add language server navigation to an AI assistant?

The best way to add language server navigation is configuring the Serena MCP server in your project's settings. This grants the AI assistant LSP-based go-to-definition and find-references functionality across 20+ languages without complex manual setup.

Why do AI assistants hallucinate outdated API references and how can I prevent it?

AI assistants hallucinate outdated API references when lacking live context. You can prevent this by configuring the Context7 MCP server, which provides up-to-date library documentation directly to the assistant during code generation and analysis tasks.