10 Best MCP Servers for Python Developers

Python is the most popular language for MCP server development, powering hundreds of servers in the ecosystem. Here are 10 standout MCP servers that Python developers should know about.

1. PostgreSQL MCP Server

Connect your AI assistant directly to PostgreSQL databases. Run queries, inspect schemas, manage tables — all through natural language.

• Install: pip install mcp-server-postgres
• Use case: Database exploration, query generation, schema documentation
• View on awesome-mcp.tools

2. Playwright MCP Server

Browser automation powered by Playwright. Navigate pages, fill forms, take screenshots, and extract data from any website.

• Install: pip install mcp-server-playwright
• Use case: Web scraping, testing, visual QA
• View on awesome-mcp.tools

3. Filesystem MCP Server

Give your AI assistant controlled access to local files. Read, write, search, and navigate directories with configurable permissions.

• Install: pip install mcp-server-filesystem
• Use case: Code review, file management, log analysis
• View on awesome-mcp.tools

4. Brave Search MCP Server

Web search through Brave's API. Get real-time search results, news, and web content directly in your AI conversations.

• Install: pip install mcp-server-brave-search
• Use case: Research, fact-checking, competitive analysis
• View on awesome-mcp.tools

5. Memory MCP Server

Persistent memory for AI assistants. Store facts, preferences, and context across conversations using a knowledge graph.

• Install: pip install mcp-server-memory
• Use case: Personal assistants, long-running projects, context retention
• View on awesome-mcp.tools

6. GigaChat Image Generation MCP

Generate images using Sber's GigaChat API. Create illustrations, diagrams, and visual content through AI conversation.

• Install: pip install mcp-server-gigachat-image-generation
• Use case: Content creation, prototyping, visual brainstorming
• View on awesome-mcp.tools

7. Telegram MCP Worker

Manage Telegram bots and channels. Send messages, manage subscribers, handle media, and automate workflows.

• Install: pip install mcp-telegram-worker
• Use case: Bot management, notifications, community management
• View on awesome-mcp.tools

8. SQLite MCP Server

Lightweight database access for local SQLite files. Perfect for prototyping and working with embedded databases.

• Install: npx mcp-server-sqlite
• Use case: Local data analysis, prototyping, embedded apps
• View on awesome-mcp.tools

9. Puppeteer MCP Server

Headless Chrome automation. Navigate pages, execute JavaScript, capture screenshots, and generate PDFs.

• Install: npx @anthropic-ai/mcp-puppeteer
• Use case: PDF generation, web scraping, automated testing
• View on awesome-mcp.tools

10. DaData MCP Server

Access Russian address and company data through DaData API. Geocoding, address normalization, and company lookup.

• Install: npx skillsbd add theYahia/dadata-mcp
• Use case: Address validation, company search, Russian market data
• View on awesome-mcp.tools

How to Get Started

1. Pick a server from the list above
2. Install it with pip or npx
3. Configure it in your MCP client (Claude Desktop, Cursor, or Windsurf)
4. Start using it through natural language

Browse all Python MCP servers or search the full catalog to find more.