opentrace vs sequentialthinking
Side-by-side comparison to help you pick between these two MCP servers.
opentrace by adham90 | sequentialthinking by modelcontextprotocol | |
|---|---|---|
| Stars | ★ 15 | ★ 85,748 |
| 30d uses | — | — |
| Score | 42 | 75 |
| Official | — | ✓ |
| Categories | Developer ToolsMonitoringOps & Infra | AI / LLM ToolsDeveloper ToolsProductivity |
| Language | Go | TypeScript |
| Last commit | 1 mo ago | this month |
opentrace · Summary
OpenTrace is an MCP-native observability engine that connects AI coding agents directly to production data via MCP tools.
sequentialthinking · Summary
Sequential Thinking MCP Server enables dynamic problem-solving through step-by-step reasoning.
opentrace · Use cases
- Debug production errors by having AI agents search logs and analyze error groups
- Investigate performance bottlenecks through MCP tools for database queries and endpoint metrics
- Generate tests and safety assessments based on actual production data
sequentialthinking · Use cases
- Planning complex system migrations with risk assessment
- Debugging production issues requiring step-by-step analysis
- Comparing architecture options with conditional branching
opentrace · Install
Installation Options
VPS (Hetzner, DigitalOcean, any Linux server)
ssh root@your-server
curl -fsSL https://raw.githubusercontent.com/adham90/opentrace/main/scripts/install.sh | bashDocker
docker run -d --name opentrace \
-p 8080:8080 \
-v opentrace-data:/data \
-e OPENTRACE_LISTEN_ADDR=0.0.0.0:8080 \
ghcr.io/adham90/opentrace:latestConnect to Claude Desktop
Create a .mcp.json file in your project:
{
"mcpServers": {
"opentrace": {
"command": "npx",
"args": ["@opentrace-sdk/mcp"],
"env": {
"OPENTRACE_URL": "https://your-server.com",
"OPENTRACE_API_KEY": "your-api-key"
}
}
}
}sequentialthinking · Install
Installation
**Claude Desktop**: Add this to your claude_desktop_config.json:
{
"mcpServers": {
"sequential-thinking": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-sequential-thinking"
]
}
}
}**VS Code**: Use one of the installation buttons or manually configure with:
{
"servers": {
"sequential-thinking": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-sequential-thinking"
]
}
}
}**Docker**:
{
"mcpServers": {
"sequentialthinking": {
"command": "docker",
"args": [
"run",
"--rm",
"-i",
"mcp/sequentialthinking"
]
}
}
}