# Semantic Perch Intelligence MCP

> Use this tool when you need to analyze and optimize your Cloudflare D1 database schema, as it provides introspection capabilities, extracts relationships, and offers validation and optimization suggestions through Semantic Intent patterns. It solves problems related to database performance, data consistency, and query optimization, taking database schema as input and producing actionable insights as output. Ideal for use cases involving complex database structures and performance-critical applications.

Canonical page: https://skillsregistry.net/skills/semanticintent-semantic-perch-intelligence-mcp  
JSON: https://api.skillsregistry.net/v1/skills/semanticintent-semantic-perch-intelligence-mcp

## Description

MCP server for Cloudflare D1 database introspection, providing schema analysis, relationship extraction, validation, and optimization suggestions via Semantic Intent patterns.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/plg417t7e5)
- **Repository:** <https://github.com/semanticintent/semantic-perch-intelligence-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "semanticintent-semantic-perch-intelligence-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/semanticintent-semantic-perch-intelligence-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/semanticintent-semantic-perch-intelligence-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt