# Unified Salesforce Documentation MCP Server

> Use this tool when you need to efficiently search and access comprehensive Salesforce documentation, including modern and legacy content, to solve issues related to information retrieval and knowledge management. It scrapes and indexes complex documentation structures, allowing for hierarchical searching and offline querying through a SQLite database. Ideal for use cases where quick access to Salesforce guides and resources is crucial, such as troubleshooting, training, or development projects.

Canonical page: https://skillsregistry.net/skills/tmtrevisan-unified-sf-docs-mcp  
JSON: https://api.skillsregistry.net/v1/skills/tmtrevisan-unified-sf-docs-mcp

## Description

Enables LLMs to scrape, index, and search modern and legacy Salesforce documentation by piercing complex Shadow DOM and iframe structures. It supports hierarchical spidering of entire guides and local RAG capabilities using a SQLite database for offline querying.

## Trust

- **Trust score (0–1):** 0.79
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/fddwb2kwu5)
- **Repository:** <https://github.com/TMTrevisan/unified-sf-docs-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": "tmtrevisan-unified-sf-docs-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/tmtrevisan-unified-sf-docs-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/tmtrevisan-unified-sf-docs-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