BEST MCP SERVERS

The official MCP filesystem server from Anthropic. Gives Claude Code and other MCP clients read/write access to directories on your machine with configurable path restrictions. Essential for any coding workflow where the agent needs to read project files, write configs, or manage assets.

Verdict: The foundation of every MCP setup. Start here.

GitHub

Version Control

Official GitHub MCP server that lets agents create repos, open pull requests, manage issues, search code, and review diffs. Supports both personal and organization repos. Turns your AI assistant into a full GitHub workflow partner that can triage issues, draft PRs, and manage releases.

Verdict: Must-have for any team using GitHub.

Connects MCP clients directly to PostgreSQL databases. Agents can run read-only queries, inspect schemas, list tables, and analyze data. Perfect for debugging data issues, generating reports, or letting an AI assistant understand your database structure without manual copy-pasting.

Verdict: Best database MCP server. Read-only by default for safety.

Official reference server that gives agents a structured scratchpad for step-by-step problem solving. The agent records numbered thoughts, revises earlier steps, and branches into alternatives before committing to an answer. Useful for planning multi-file refactors and debugging sessions where the first idea is rarely the right one.

Verdict: Best planning aid. No API key, runs locally, pairs well with any coding agent.

Lets agents control a headless Chrome browser. Navigate pages, click elements, fill forms, take screenshots, and extract content from rendered pages. Invaluable for testing web apps, scraping dynamic content, and automating browser-based workflows that require JavaScript execution.

Verdict: Essential for browser automation and testing.

Connects agents to Slack workspaces. Read channels, post messages, search conversation history, and manage threads. Enables AI-powered workflows like summarizing channels, drafting responses, or building Slack bots that use your coding agent as the backend.

Verdict: Best communication MCP server. Requires Slack app setup.

A knowledge graph-based persistent memory system for MCP clients. Agents can store and retrieve entities, relationships, and observations across sessions. Gives your AI assistant long-term memory so it remembers project context, decisions, and preferences between conversations.

Verdict: Adds persistent memory to any MCP client. Simple but effective.

Lightweight database MCP server for SQLite files. Agents can query, analyze, and even create SQLite databases. Great for local development, prototyping, data analysis on CSV files converted to SQLite, and working with mobile app databases.

Verdict: Perfect for local dev and quick data analysis.

Connects agents to your Sentry error tracking. Retrieve recent issues, search errors, get stack traces, and analyze error trends. Lets your AI assistant debug production errors by pulling real crash data and correlating it with your codebase.

Verdict: Turns error triage from hours into minutes.

A simple HTTP fetch server that lets agents make web requests and retrieve page content as clean markdown. Handles HTML-to-markdown conversion, follows redirects, and respects robots.txt. Lighter than Puppeteer when you just need to read content from a URL.

Verdict: Lightweight web access. Use this before reaching for Puppeteer.

Google Maps

Location

Provides geocoding, place search, directions, and elevation data through the Google Maps API. Useful for building location-aware applications, planning routes, or enriching data with geographic information. Requires a Google Maps API key.

Verdict: Best location MCP server. API costs apply.

Linear

Project Management

Integrates with Linear for issue tracking and project management. Agents can create issues, update status, search across projects, and manage sprints. Ideal for teams that use Linear and want their AI assistant to participate in the development workflow.

Verdict: Best project management MCP server for engineering teams.

Cloudflare

Infrastructure

Manages Cloudflare Workers, KV stores, R2 buckets, and D1 databases through MCP. Agents can deploy workers, update DNS records, manage edge functions, and query Cloudflare analytics. Powerful for teams running infrastructure on Cloudflare.

Verdict: Full Cloudflare control from your AI assistant.

Notion

Knowledge Management

Reads and writes Notion pages, databases, and blocks. Agents can search your workspace, create documentation, update project wikis, and sync information between your codebase and Notion. Useful for teams that keep their docs in Notion.

Verdict: Good for Notion-centric teams. API can be slow on large workspaces.

Fetches up-to-date documentation for any library, framework, or SDK directly into your agent's context. Instead of relying on training data that may be outdated, Context7 pulls the latest docs on demand. Supports thousands of libraries with code examples and API references.

Verdict: Solves the stale training data problem. Every dev MCP setup should have this.