INDIVIDUAL MCP TOOL

search_content

Semantic search over everything published on damienkedwards.tech — posts, papers, build log entries, and gated-project teasers.

damienkedwards.technone authenticationAvailability not checked

LIVE ENDPOINT

https://damienkedwards.tech/api/mcp

No auth detected

Connect to this endpoint to inspect the live schema for search_content and invoke it with your own arguments.

{}

Inferred read-only · medium confidence · heuristic, not a guarantee.

No write-capable action terms were found; this is not proof that invocation has no side effects.

CONNECT WITH APPROVAL

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

[mcp_servers.damienkedwardstech]
url = "https://damienkedwards.tech/api/mcp"
enabled = true

Claude Code

.mcp.json

{
  "mcpServers": {
    "damienkedwardstech": {
      "type": "http",
      "url": "https://damienkedwards.tech/api/mcp"
    }
  }
}

Claude Desktop

Settings → Connectors → Add custom connector

Name: damienkedwardstech
Remote MCP URL: https://damienkedwards.tech/api/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": {
    "damienkedwardstech": {
      "url": "https://damienkedwards.tech/api/mcp"
    }
  }
}

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

{
  "servers": {
    "damienkedwardstech": {
      "type": "http",
      "url": "https://damienkedwards.tech/api/mcp"
    }
  }
}

Generic MCP

Client-specific MCP configuration

{
  "name": "damienkedwardstech",
  "transport": "streamable-http",
  "url": "https://damienkedwards.tech/api/mcp"
}

MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

get_build_log_stats — Get the measurable outcome stats for one of Damien's build log entries by its slug (slugs appear at the end of a build log URL, e.g.
search_pipeline_patterns — Search curated findings about genuine architectural patterns across Snowflake, Databricks, dbt, Spark, Qlik, Redshift, MS Fabric, and n8n — incremental modeling, semantic layers, orchestration, cost optimization, and similar.