teamcity-mcp vs filesystem
Side-by-side comparison to help you pick between these two MCP servers.
teamcity-mcp by Daghis | filesystem by modelcontextprotocol | |
|---|---|---|
| Stars | ★ 25 | ★ 85,748 |
| 30d uses | — | — |
| Score | 46 | 77 |
| Official | — | ✓ |
| Categories | Developer ToolsOps & InfraAI / LLM Tools | File SystemDeveloper ToolsProductivity |
| Language | TypeScript | TypeScript |
| Last commit | this month | this month |
teamcity-mcp · Summary
MCP server for JetBrains TeamCity that provides 87 tools to control builds, tests, agents and configurations from AI coding assistants.
filesystem · Summary
A feature-rich MCP server for filesystem operations with dynamic directory access control.
teamcity-mcp · Use cases
- Trigger and monitor builds directly from AI coding assistants
- Create and manage build configurations programmatically
- Analyze test failures and build logs without leaving the development environment
filesystem · Use cases
- Enable AI models to read and write project files during development
- Allow Claude or other MCP clients to browse and analyze codebases
- Provide secure sandboxed access to specific directories for content generation
teamcity-mcp · Install
Quick Installation
# Using npx with environment variables
TEAMCITY_URL="https://teamcity.example.com" \
TEAMCITY_TOKEN="<your_token>" \
MCP_MODE=dev \
npx -y @daghis/teamcity-mcpClaude Desktop Configuration
Add to your claude_desktop_config.json:
{
"mcpServers": {
"teamcity": {
"command": "npx",
"args": [
"-y",
"@daghis/teamcity-mcp",
"--url",
"https://teamcity.example.com",
"--token",
"tc_<your_token>"
]
}
}
}filesystem · Install
Installation
Using NPX
{
"mcpServers": {
"filesystem": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-filesystem",
"/path/to/allowed/directory"
]
}
}
}Using Docker
{
"mcpServers": {
"filesystem": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"--mount", "type=bind,src=/path/to/allowed/dir,dst=/projects/allowed/dir",
"mcp/filesystem",
"/projects"
]
}
}
}VS Code Extension
Click the installation buttons in the README to install directly in VS Code.