# mcp-salesforce

> Use this tool when you need to interact with Salesforce data and perform various operations such as running SOQL queries, SOSL searches, and managing records. It solves problems related to data retrieval, record management, and automation of Salesforce tasks through natural language inputs. The tool takes natural language commands as input and outputs the results of the executed queries or operations, making it ideal for use cases that require efficient and intuitive interaction with Salesforce data.

Canonical page: https://skillsregistry.net/skills/oliviergg-mcp-salesforce  
JSON: https://api.skillsregistry.net/v1/skills/oliviergg-mcp-salesforce

## Description

Connects to Salesforce and enables running SOQL queries, SOSL searches, managing records, and executing various Salesforce APIs via natural language.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/bzvqtm4fd1)
- **Repository:** <https://github.com/Oliviergg/mcp-salesforce>

## 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": "oliviergg-mcp-salesforce"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/oliviergg-mcp-salesforce` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/oliviergg-mcp-salesforce/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