MCP Overview
Model Context Protocol (MCP) is an open standard that defines how applications supply context to LLMs. Think of it as a universal adapter for AI—enabling seamless connections between models and external tools or data sources. MCP servers act as intermediaries, allowing LLMs (like Bwat) to interact with external APIs, databases, and services. Essentially, they function as specialized APIs that LLMs can utilize.
Key Concepts
MCP servers define "tools"—functions that LLMs can execute to perform tasks.
How MCP Works:
- MCP hosts detect available servers and load their tools, prompts, and resources.
- Resources provide read-only data access (similar to file paths or database queries).
- Security is enforced via user-approved interactions, keeping credentials and sensitive data isolated.
Use Cases
MCP servers enable diverse applications, including:
Web & API Integrations
- Monitor GitHub issues
- Post automated Twitter/X updates
- Fetch real-time weather data
Browser Automation
- Web app testing
- Price comparison scraping
- Website screenshot generation
Database Operations
- Generate sales reports
- Analyze customer behavior
- Build real-time dashboards
Project Management
- Auto-create Jira tickets from commits
- Generate progress reports
- Map task dependencies
Code Documentation
- Generate API docs from code
- Auto-update READMEs
- Create architecture diagrams
Getting Started
Bwat does not include pre-installed MCP servers—you'll need to add them manually.
Options for Setup:
- Community Repositories – Find servers on GitHub (Guide)
- Bwat Marketplace – Browse the MCP Marketplace
- Ask Bwat – Request help finding or building servers
- Build Your Own – Use the MCP SDK
- Modify Existing Servers – Customize to fit your needs
Integration with Bwat
Bwat simplifies MCP server development and usage via AI-powered features.
Building MCP Servers
- Natural Language Instructions – Describe functions in plain English; Bwat generates the code.
- Auto-Cloning & Building – Pull and compile GitHub repos automatically.
- Config & Dependency Handling – Manages setup files and environment variables.
- Debugging Support – Helps troubleshoot errors.
Using MCP Servers
- Execute Tools – Seamlessly run MCP-defined functions.
- Context-Aware Suggestions – Recommends relevant tools based on conversation flow.
- Multi-Server Workflows – Combine tools (e.g., fetch GitHub data → generate Notion reports).
Security Best Practices
When using MCP servers:
- 🔒 Secure Authentication – Use OAuth, API keys, etc.
- ⚠ Env Variables – Never hardcode secrets.
- 🛡 Access Controls – Restrict server permissions.
- ✅ Input Validation – Prevent injection attacks.
- 📜 Safe Logging – Avoid exposing sensitive data.
Resources
Find & Learn About MCP Servers
GitHub:
Directories:
- mcpservers.org (opens in a new tab)
- mcp.so (opens in a new tab)
- glama.ai/mcp/servers (opens in a new tab)
- PulseMCP (opens in a new tab)
YouTube Tutorial: AI-Driven Coder Guide (opens in a new tab)