# sacred-texts-mcp

> sacred-texts-mcp — alessandrodalpozzo-sacred-texts-mcp. Use this tool when you need to perform semantic searches and comparative analyses across a diverse corpus of sacred and foundational texts from multiple traditions. It solves problems of information retrieval, comparative religious studies, and textual analysis, providing insights into similarities and differences between texts. The tool accepts search queries as input and returns relevant text excerpts and comparisons as output, ideal for use in academic research, religious studies, and cultural analysis contexts.

Canonical page: https://skillsregistry.net/skills/alessandrodalpozzo-sacred-texts-mcp  
JSON: https://api.skillsregistry.net/v1/skills/alessandrodalpozzo-sacred-texts-mcp

## Description

Semantic search and comparative retrieval over a multi-tradition corpus of sacred and foundational texts, exposed as an MCP server.

## Trust

- **Trust score (0–1):** 0.21
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ux3ggevbu4)
- **Repository:** <https://github.com/alessandrodalpozzo/sacred-texts-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": "alessandrodalpozzo-sacred-texts-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/alessandrodalpozzo-sacred-texts-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/alessandrodalpozzo-sacred-texts-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