MCP Dev-Tools Agent
Connects to Google Gemini API to provide AI agent access to local machine tools.
Integrates with locally running Ollama models, allowing the AI agent to use file system and terminal tools without external API.
Connects to OpenAI API to enable GPT models for performing file system, terminal, and codebase operations.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@MCP Dev-Tools AgentRead package.json and list dependencies"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
MCP Dev-Tools Agent
A local AI agent system built with the Model Context Protocol (MCP) that gives any LLM real access to your filesystem, terminal, and codebase. Works as both a standalone terminal agent and a Continue.dev integration in VS Code.
What It Does
Connects any LLM (Claude, Groq, OpenAI, Gemini, OpenRouter, Ollama) to your local machine via MCP
Gives the AI real tools to read/write files, run commands, and search your codebase
Works as a terminal agent (
bun dev) or as a Continue.dev MCP server in VS CodeFully provider-agnostic — switch models by changing one
.envvariable
Related MCP server: LocalNest MCP
Project Structure
mcp-server/
├── src/
│ ├── mcp-server/
│ │ └── index.ts # MCP server with 7 tools
│ ├── providers/
│ │ ├── index.ts # Provider registry
│ │ ├── claude.ts # Anthropic Claude
│ │ ├── groq.ts # Groq (Llama)
│ │ ├── openai.ts # OpenAI (GPT)
│ │ ├── openrouter.ts # OpenRouter
│ │ ├── ollama.ts # Ollama (local)
│ │ └── gemini.ts # Google Gemini
│ ├── services/
│ │ ├── claude.service.ts
│ │ ├── groq.service.ts
│ │ ├── openai.service.ts
│ │ ├── openrouter.service.ts
│ │ ├── ollama.service.ts
│ │ └── gemini.service.ts
│ ├── config/
│ │ └── envs.ts # Environment config
│ ├── types/
│ │ └── common.ts # Shared types
│ └── agent.ts # Standalone terminal agent
├── .env # API keys (never commit)
├── package.json
└── tsconfig.jsonInstallation
git clone https://github.com/naushadraien/mcp-server.git
cd mcp-server
bun installEnvironment Setup
Create a .env file in the project root:
# Choose your provider
PROVIDER=groq # groq | claude | openai | openrouter | ollama | gemini
# Add the API key for your chosen provider
GROQ_API_KEY=your_groq_key_here
ANTHROPIC_API_KEY=your_anthropic_key_here
OPENAI_API_KEY=your_openai_key_here
OPENROUTER_API_KEY=your_openrouter_key_here
GEMINI_API_KEY=your_gemini_key_here
# Ollama needs no API key — runs locallyRunning the Agent
bun devThis starts an interactive terminal agent. Type your message and the AI will use MCP tools to act on your local machine.
🚀 Starting MCP dev-tools agent...
✅ MCP server connected. Tools available:
• read_file
• write_file
• list_directory
• run_command
• search_in_files
• create_directory
• delete_file
You: read C:/Projects/myapp/package.json and tell me the dependencies
🔧 [1/5] Calling: read_file
...Switching Providers
Just change PROVIDER in your .env:
PROVIDER=groq # Groq Llama 3.3 — free 100k tokens/day
PROVIDER=claude # Anthropic Claude — best quality
PROVIDER=openai # OpenAI GPT-4o
PROVIDER=openrouter # OpenRouter — access to many models
PROVIDER=gemini # Google Gemini — free 1500 req/day
PROVIDER=ollama # Local Ollama — free, no limitsAvailable Tools
Tool | Description |
| Read the contents of any file from disk |
| Write or overwrite content to a file |
| List files and folders (supports recursive) |
| Execute any shell/terminal command |
| Search text/regex across your codebase |
| Create new directories (including nested) |
| Delete a file from disk |
Example Prompts
# Read a file
read C:/Projects/myapp/package.json and show me all dependencies
# List project structure
list all files in C:/Projects/myapp/src recursively
# Search codebase
search for "TODO" in C:/Projects/myapp/src with extension .ts
# Run a command
run "npm run build" in C:/Projects/myapp
# Chain multiple tools
list all files in src, read index.ts and write a summary to SUMMARY.md
# Generate documentation
read all files in src and write a complete README.mdUse with Continue.dev in VS Code
Add this to ~/.continue/config.yaml:
mcpServers:
- name: dev-tools
command: bun
args:
- run
- C:/<your-path>/mcp-server/src/mcp-server/index.tsContinue will automatically start the MCP server when VS Code opens. Use Agent mode in Continue chat to trigger tool calls.
Adding New Tools
Open src/mcp-server/index.ts and add a new server.registerTool() block:
server.registerTool(
"my_tool", // tool name
{
title: "My Tool", // human-readable title
description: "What this tool does", // what the AI sees
inputSchema: {
param1: z.string().describe("Description of param1"),
param2: z.number().optional().describe("Optional param"),
},
},
async ({ param1, param2 }) => {
// your code here — call APIs, query DB, anything
const result = await doSomething(param1);
return {
content: [{ type: "text", text: result }],
};
}
);Reload VS Code or restart bun dev and the new tool is immediately available.
Provider API Links
Provider | Free Tier | Sign Up |
Groq | 100k tokens/day | console.groq.com |
OpenRouter | 50 req/day | openrouter.ai |
Gemini | 1500 req/day | aistudio.google.com |
DeepSeek | Pay as you go (~$0.001/1k) | platform.deepseek.com |
Ollama | Unlimited (local) | ollama.com |
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