# Mcp Projects

> My Projects Repo for MCP (Model Context Protocol)

- **Type:** MCP server
- **Install:** `agentstack add mcp-srgrace-mcp-projects`
- **Verified:** Yes — security-reviewed for prompt injection and unsafe behavior
- **Seller:** [SrGrace](https://agentstack.voostack.com/s/srgrace)
- **Installs:** 0
- **Category:** [Integrations](https://agentstack.voostack.com/c/integrations)
- **Latest version:** 0.1.0
- **License:** MIT
- **Upstream author:** [SrGrace](https://github.com/SrGrace)
- **Source:** https://github.com/SrGrace/mcp-projects
- **Website:** https://medium.com/@SrGrace_/understanding-model-context-protocol-mcp-a-laymans-guide-4737aab5fc6b

## Install

```sh
agentstack add mcp-srgrace-mcp-projects
```

Requires the [AgentStack CLI](https://agentstack.voostack.com/docs/cli). Works with Claude Code, Cursor, and any MCP-compatible agent.

## About

# mcp-projects

Open-Source Projects Repo for MCP (Model Context Protocol).

## Steps to install and run:

1. Clone this repo
2. Install the requirements
    ```
    pip install mcp fastapi uvicorn fastapi-mcp llama-index llama-index-embeddings-huggingface llama-index-llms-langchain langchain-mcp-adapters mcp-use
    ```
3. Make a .env file in the root folder with the following credentials:
    ```
    API_KEY=
    PROJECT_ID=
    IBM_CLOUD_URL=

    MODEL_ID=

    TAVILY_API_KEY=

    or, use your own llm provider - its agnostic to the projects (few changes needs to be done though)
    ```
4. Experiment with different projects and files
    - make sure to run the mcp servers first and then only
    - run the clients

## What is Model Context Protocol (MCP)?
At its core, MCP is a standardized way for applications to provide AI models with richer context about their environment, user preferences, and conversation history. Think of it as a smart, structured way to feed memory and context to AI systems.

### The Problem MCP Solves
Current AI systems have limited "working memory" - they can only see a certain amount of conversation history at once (their "context window"). Imagine trying to have a conversation with someone who only remembers the last few exchanges:
- You: "Remember that project we discussed last week about optimizing the supply chain?"
- AI without good context: "I don't recall that specific discussion. Could you remind me of the details?"
- 
This limitation forces users to constantly re-explain things, leading to frustrating interactions. MCP aims to solve this by creating a structured method for maintaining and accessing context.

### Some Analogies
**1. GPS Navigation**

Traditional AI context management is like giving someone directions one turn at a time, without showing them the full map. If they forget a step, the journey breaks down.
  
MCP is like a GPS navigation system that:
- Knows your destination
- Remembers your preferred routes
- Adjusts based on real-time conditions
- Always knows exactly where you are in the journey

Read this medium article for comprehensive understanding of MCP: [Understanding Model Context Protocol (MCP): A Layman’s Guide](https://medium.com/@SrGrace_/understanding-model-context-protocol-mcp-a-laymans-guide-4737aab5fc6b)

`Do make Pull Requests to contribute to this asset ✨`

## Source & license

This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.

- **Author:** [SrGrace](https://github.com/SrGrace)
- **Source:** [SrGrace/mcp-projects](https://github.com/SrGrace/mcp-projects)
- **License:** MIT
- **Homepage:** https://medium.com/@SrGrace_/understanding-model-context-protocol-mcp-a-laymans-guide-4737aab5fc6b

Install and usage instructions live in the source repository linked above.

## Pricing

- **Free** — Free

## Security capabilities

Automated source analysis of v0.1.0 — what this tool can access:

- **Network access:** no
- **Filesystem access:** no
- **Shell / process execution:** no
- **Environment & secrets:** yes
- **Dynamic code execution:** no

*"Yes" means the capability is present in the source — more access means more to trust, not that it is unsafe.*


## Versions

- **0.1.0** — security scan: passed — Imported from the upstream source.

## Links

- Listing page: https://agentstack.voostack.com/l/mcp-srgrace-mcp-projects
- Seller: https://agentstack.voostack.com/s/srgrace
- Browse the marketplace: https://agentstack.voostack.com/browse

---
Listed on AgentStack — the marketplace for AI agent skills and MCP servers. Every listing is security-reviewed. Creators keep 70%.