TOP 10 MCP Servers for Developers - A Programmer's Essentials for 2025
• Thursday, 4th December 2025 • Narzędzia developerskie •
MCP - A New Standard for Developers
The Model Context Protocol (MCP) is an open standard created by Anthropic that is revolutionising the way we work with AI. Instead of copying code into a chatbot, MCP lets Claude interact directly with your tools - repositories, the file system, databases and APIs.
In this article I present the 10 best MCP servers that every developer should know. A bonus? At the end you will find our own server, ROL.04, built at Digital Effect for agriculture - an example of how MCP can be tailored to specific industries.
1. GitHub MCP Server
What it's for: Managing repositories, issues and pull requests directly through AI.
Key features:
- Creating and browsing issues without leaving your IDE
- Automatic code review and change suggestions
- Searching code in natural language
- Managing branches and merges
Use case: "Find all the places in the repo where we use a deprecated API and suggest a fix."
2. Filesystem MCP Server
What it's for: Secure AI access to local files and directories.
Key features:
- Reading and writing files with permission control
- Searching for files and content
- Directory operations (creating, deleting)
- Sandboxing - the AI sees only permitted paths
Use case: "Analyse all the .ts files in src/ and generate a report on types that could be improved."
3. Docker MCP Server
What it's for: Managing containers, images and compose through AI.
Key features:
- Starting/stopping containers
- Browsing logs
- Building images
- Managing docker-compose
Use case: "Show the logs from the postgres container for the last 10 minutes and diagnose the connection errors."
4. Git MCP Server
What it's for: Git operations without leaving the context of the conversation.
Key features:
- Commits, branches, merges
- Change history with analysis
- Diff and blame
- Cherry-pick and rebase
Use case: "Show all commits from the last week that changed files in /api and generate a changelog."
5. Fetch MCP Server
What it's for: Fetching content from a URL and converting it to markdown.
Key features:
- Page scraping (HTML to markdown)
- API support (GET/POST)
- Parsing JSON responses
- Rate limiting and caching
Use case: "Fetch the documentation from docs.example.com and generate a summary of the new features."
6. Brave Search MCP Server
What it's for: Searching the internet from within the AI.
Key features:
- Web search without tracking
- Filtering results
- Aggregating information
- Answers with source context
Use case: "Find the latest best practices for React 19 and compare them with what we have in the project."
7. Memory MCP Server
What it's for: Persistent memory for AI between sessions.
Key features:
- Knowledge graph (entities, relations)
- Remembering preferences
- History of design decisions
- Context between conversations
Use case: "Remember that we use kebab-case for file names and remind me during code review."
8. Sequential Thinking MCP Server
What it's for: Structured solving of complex problems.
Key features:
- Chain-of-thought prompting
- Hypothesis verification
- Branching and backtracking
- Revising previous steps
Use case: "Analyse step by step why the tests pass locally but fail on CI."
9. Obsidian MCP Server
What it's for: Integration with notes and documentation in Obsidian.
Key features:
- Searching notes
- Creating and editing .md files
- Navigating the knowledge graph
- Templates and daily notes
Use case: "Find all the notes about the project architecture and generate an up-to-date diagram."
10. Notion MCP Server
What it's for: Managing projects and documentation in Notion.
Key features:
- CRUD on pages and databases
- Content search
- Updating statuses
- Comments and mentions
Use case: "Update the status of all tasks for sprint 12 based on merged PRs."
BONUS: ROL.04 - Our MCP for Agriculture
At Digital Effect we built our own MCP server, ROL.04 - an Agricultural Knowledge Server tailored to Polish agriculture.
What ROL.04 can do:
- Current weather data for the region (integration with pogoda.farmageddon.pl)
- A knowledge base on crops, sowing dates and fertilisation
- An agricultural calendar with alerts
- Data on subsidies and support programmes
Example: "When is the best time to sow winter wheat in the Pomeranian Voivodeship, taking into account the forecast for the next 2 weeks?"
This shows the power of MCP - you can create a server dedicated to your industry, combining domain knowledge with the capabilities of AI.
How to Get Started?
Most MCP servers are open source and easy to run:
- Install Claude Desktop or Claude Code
- Configure the MCP servers in
claude_desktop_config.json - Start using it - the AI will automatically detect the available tools
Pro tip: Start with Filesystem + Git + GitHub - these three servers cover 80% of everyday development needs.
Summary
MCP is the future of integrating AI with developer tools. These 10 servers are a solid foundation:
- GitHub - repo management
- Filesystem - local files
- Docker - containers
- Git - version control
- Fetch - web scraping
- Brave Search - research
- Memory - persistent context
- Sequential Thinking - debugging
- Obsidian - documentation
- Notion - project management
And if you need MCP for a specific industry - take inspiration from our ROL.04 or get in touch with us. We will help you build a server tailored to your needs.
