The Best MCP Servers for Daily Development Work (And What to Check Before Installing)

The MCP ecosystem has hundreds of servers. Most aren't worth installing. Here are the ones that are genuinely useful for daily development work -- and what to check before you add them to your environment.

Before Installing Any MCP Server

Every MCP server runs code on your machine with Claude's trust level. Before installing:

1. Check the source code -- specifically look for shell=True in Python, exec in JS


2. Look at what env vars it reads


3. Check outbound HTTP calls -- where does it send data?


4. Run npm audit or pip-audit on the dependencies

Quick automated check covering 22 vulnerability patterns: MCP Security Scanner Pro ($29)

With that said, here are the servers I actually use.

1. Filesystem MCP (Built-in)

Claude Code includes filesystem access by default. Before installing a third-party filesystem server, ask if the built-in handles your use case.

Third-party filesystem servers are worth considering only if you need:

• Explicit audit logging of every file access


• Enforced path restrictions beyond working directory


• Network filesystem support

2. Playwright MCP

What it does: Full browser automation -- navigate URLs, click elements, fill forms, take screenshots.

Best for: Web scraping, testing UI flows, research automation, form filling across sites.

Security note: This is a high-privilege tool. A browser MCP with full access can interact with any website you're logged into. Consider restricting to specific domains if using it for automated workflows.

Installation:

npm install -g @playwright/mcp

{

  "mcpServers": {

    "playwright": {

      "command": "playwright-mcp"

    }

  }

}

3. GitHub MCP (Official)

What it does: Search repos, create issues and PRs, read file contents, manage branches.

Best for: Code review workflows, automated issue creation from Claude's analysis, PR descriptions.

Example use:

"Read the open issues in my repo, find the ones labeled 'bug', 

and create a prioritized fix plan."

Security note: Use a token scoped to only what you need. A read-only token for search tasks, a write token only when you need PR creation.

Installation:

npm install -g @modelcontextprotocol/server-github

4. PostgreSQL/SQLite MCP

What it does: Natural language queries against your database.

Best for: Development database exploration, ad-hoc queries, data analysis during development.

Example use:

"Show me all users who signed up in the last 7 days 

but have never made a purchase."

Security warning: Do NOT point this at production with write access. Use a read-only connection string for anything sensitive.

{

  "mcpServers": {

    "postgres": {

      "command": "npx",

      "args": ["-y", "@modelcontextprotocol/server-postgres"],

      "env": {

        "POSTGRES_CONNECTION_STRING": "postgresql://user:pass@localhost/mydb"

      }

    }

  }

}

5. Brave Search MCP

What it does: Web search without sending queries to OpenAI/Anthropic infrastructure.

Best for: Research tasks, competitor analysis, documentation lookups.

Why Brave vs others: Privacy-focused, no query logging, good API rate limits on free tier.

Requires a free Brave Search API key.

6. Memory/Knowledge Graph MCP

What it does: Persistent memory across Claude Code sessions. Stores facts as a knowledge graph.

Best for: Projects where context matters across sessions -- long-running codebases, ongoing research.

Example use:

"Remember that this project uses soft deletes and the convention 

is deletedAt: DateTime? on all models."

Next session, Claude already knows.

Caveat: Memory MCPs vary widely in quality. Read the implementation before installing -- some store data locally, others send it to external services.

7. Linear MCP

What it does: Create, update, and query Linear issues from Claude.

Best for: Developers who use Linear for project management and want to reduce context switching.

"Look at my current sprint in Linear. Which issues are blocked? 

What's blocking them?"

What I Don't Recommend

General-purpose "do everything" MCPs: Broad tools have broad attack surfaces. Prefer specific tools with limited scope.

Servers with no recent commits: Unmaintained code doesn't get security patches.

Servers that require admin/root permissions: Nothing Claude does should need root.

Servers that make undocumented outbound calls: If it's calling home without documentation, that's a red flag.

Managing Your MCP Environment

Your config file (~/.claude/claude_desktop_config.json for Claude desktop, ~/.claude.json for Claude Code) accumulates servers over time. Audit it quarterly:

• Remove servers you haven't used in 30 days


• Update servers that have published security fixes


• Review token scopes -- are they still appropriate?

The attack surface of your AI environment is the sum of all the MCP servers you've installed. Keep it small.

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