Developer Tools
wellworn.dev
Provides stack, library, and service recommendations with comparisons, alternatives, known traps, and skill procedures for developer tooling decisions.
ENDPOINT 1
https://mcp.wellworn.dev/mcp
MCP server metadata
- Name
- wellworn
- Version
- 6a0f901
Known tools 8
recommendWhich stack, library, or service to use for a task, with the traps and the skill.
Inferred read-onlycompareVerified comparison of 2 to 4 libraries or services for a context; says when each one wins.
Inferred read-onlyalternativesOpen-source or self-hosted alternatives to a SaaS or library, with one-line reasons.
Inferred read-onlysubmit_trapReport a breakage you hit and how you fixed it; reviewed before it is served.
Inferred read-onlyCONNECT WITH APPROVAL
Client installation
Review this server and its permissions before adding it. Secret placeholders must be set locally.
Codex
~/.codex/config.toml
[mcp_servers.wellworn]
url = "https://mcp.wellworn.dev/mcp"
enabled = true
Claude Code
.mcp.json
{
"mcpServers": {
"wellworn": {
"type": "http",
"url": "https://mcp.wellworn.dev/mcp"
}
}
}
Claude Desktop
Settings → Connectors → Add custom connector
Name: wellworn
Remote MCP URL: https://mcp.wellworn.dev/mcp
Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.
Cursor
.cursor/mcp.json
{
"mcpServers": {
"wellworn": {
"url": "https://mcp.wellworn.dev/mcp"
}
}
}
Visual Studio Code
.vscode/mcp.json
Add to Visual Studio Code{
"servers": {
"wellworn": {
"type": "http",
"url": "https://mcp.wellworn.dev/mcp"
}
}
}
Generic MCP
Client-specific MCP configuration
{
"name": "wellworn",
"transport": "streamable-http",
"url": "https://mcp.wellworn.dev/mcp"
}
MCP Inspector
Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.
TRUST AND VERIFICATION EVIDENCE
Loading Trust v2 evidence…
Checking the associated registrable domain. The BuiltWith key remains server-side.
Evidence is source-attributed and does not guarantee that a third-party server is safe. Risk labels are conservative metadata heuristics.