MCP-Claude
# 🌐 Model Context Protocol (MCP) - TypeScript Implementation
[](https://opensource.org/licenses/MIT)
[](https://www.typescriptlang.org/)
[](https://mcp-protocol.org/spec)
[](https://discord.gg/your-invite)
> The universal adapter for AI applications. Standardize how LLMs connect to data sources and tools.
## 📖 Table of Contents
- [Why MCP?](#-why-mcp)
- [Architecture](#-architecture)
- [Features](#-features)
- [Quick Start](#-quick-start)
- [Project Structure](#-project-structure)
- [Documentation](#-documentation)
- [Contributing](#-contributing)
- [License](#-license)
## 🚀 Why MCP?
MCP solves the AI integration puzzle by providing:
| Problem | MCP Solution |
|----------------------------------|-----------------------------------|
| Vendor lock-in | Standardized protocol works with any LLM |
| Custom integration code | Pre-built connectors for common data sources |
| Security concerns | Built-in OAuth2 and data encryption |
| Complex agent development | Unified context provisioning |
## 🌐 Architecture
```mermaid
graph TD
A[Host App] -->|MCP Client| B[Filesystem Server]
A -->|MCP Client| C[Database Server]
A -->|MCP Client| D[Web API Server]
B --> E[(Local Files)]
C --> F[(PostgreSQL)]
D --> G{{REST API}}TDQS
Scored across 5 tools
The tools have distinct purposes (math, image generation, weather alerts, weather forecast), but 'add' is overly generic and could be confused with other mathematical operations if more were added. The image-related tools ('display_generated_image' and 'generate-image') have clear but overlapping domains, which might cause minor confusion about which to use for image handling.
Naming is inconsistent with mixed conventions: 'add' uses a simple verb, 'display_generated_image' uses snake_case with a verb-object pattern, 'generate-image' uses kebab-case, and 'get-alerts'/'get-forecast' use kebab-case with a verb-noun pattern. This lack of a unified style makes the set harder to predict and use.
With 5 tools, the count is reasonable for a general-purpose server, but it feels thin and scattered across unrelated domains (math, images, weather). There's no clear thematic focus, making the set appear under-scoped for any single purpose.
The tool set is severely incomplete for any coherent domain. For math, only 'add' is provided with no other operations. For images, generation and display are covered but lack editing or management tools. For weather, alerts and forecasts are included but miss basics like current conditions or historical data, leading to significant gaps in functionality.