g-gremlin-salesforce-mcp
Provides tools for connecting to Salesforce, allowing for the reading, analyzing, and writing of Salesforce data and metadata within a Salesforce organization.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@g-gremlin-salesforce-mcplist my most recent open opportunities closing this month"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
g-gremlin-salesforce-mcp
Standalone Salesforce MCP launcher for g-gremlin.
This package provides a dedicated g-gremlin-sfdc-mcp command so MCP clients can connect to Salesforce tools without calling the broader g-gremlin CLI directly.
It delegates to:
g-gremlin mcp serve(read/analyze tools only)g-gremlin mcp serve --enable-writes(write tools exposed; apply calls still requireplan_hash)
Quickstart
pipx install g-gremlin
pipx install g-gremlin-sfdc-mcp
g-gremlin sfdc connect --org-alias devClaude Desktop
{
"mcpServers": {
"g-gremlin-sfdc": {
"command": "g-gremlin-sfdc-mcp"
}
}
}To expose write tools:
{
"mcpServers": {
"g-gremlin-sfdc": {
"command": "g-gremlin-sfdc-mcp",
"args": ["--enable-writes"]
}
}
}Cursor / Windsurf
Use the same MCP server command in your client config:
{
"mcpServers": {
"g-gremlin-sfdc": {
"command": "g-gremlin-sfdc-mcp"
}
}
}To expose write tools in Cursor/Windsurf, add:
{
"mcpServers": {
"g-gremlin-sfdc": {
"command": "g-gremlin-sfdc-mcp",
"args": ["--enable-writes"]
}
}
}Health check
g-gremlin-sfdc-mcp --checkDevelopment
git clone https://github.com/mikeheilmann1024/g-gremlin-salesforce-mcp
cd g-gremlin-salesforce-mcp
pip install -e ".[dev]"
pytestLicense
MIT
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