Salesforce Devops vs Kodey AI Salesforce MCP

A side-by-side look at the Salesforce Devops and Kodey AI Salesforce MCP MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.

S
Salesforce DevopsCustomer Data Platforms · Remote HTTP/SSE
Plan Salesforce deploys, open pull requests and trigger pipelines from your AI client.37FairAuth: not declared
Kodey AI Salesforce MCP logoKodey AI Salesforce MCPCustomer Data Platforms · Local subprocess (stdio)Run SOQL queries to explore and retrieve Salesforce data. Inspect records, fields, and relationshi…40FairAuth: not declared

Verdict: choose Salesforce Devops for customer data platforms work over a hosted endpoint; choose Kodey AI Salesforce MCP for customer data platforms as a local process. You can also run both side by side in one mcpServers block.

Which MCP server should you choose?

S
Choose Salesforce Devops when

  • You need dedicated capabilities in the Customer Data Platforms domain.
  • You prefer a remote HTTP/SSE transport.
Explore Salesforce Devops

Kodey AI Salesforce MCP logoChoose Kodey AI Salesforce MCP when

  • You need dedicated capabilities in the Customer Data Platforms domain.
  • You prefer a local stdio subprocess transport.
Explore Kodey AI Salesforce MCP

Feature & specification comparison

Rows where the two servers differ are marked.

Spec
S
Salesforce Devops
Kodey AI Salesforce MCP logoKodey AI Salesforce MCP
CategoryCustomer Data PlatformsCustomer Data Platforms
Quality signal37/100 · Fair40/100 · Fair
Install commandConfirmedConfirmed
TransportRemote HTTP/SSELocal subprocess (stdio)
AuthNot declaredNot declared
PricingNot declaredNot declared
Required env varsNone listedNone listed
Verified ownerCommunity listingCommunity listing
GitHub stars—0
Directory activity 0 views 0 installs 0 upvotes 1 views 0 installs 0 upvotes
ToolsNot listedNot listed

Tools & capabilities

Salesforce Devops tools

No tool names declared yet. Check the project README from the listing page.

Kodey AI Salesforce MCP tools

No tool names declared yet. Check the project README from the listing page.

Ready-to-paste client configs

Paste either block (or both) into your client config, e.g. claude_desktop_config.json or ~/.cursor/mcp.json. We only show a config when the install command is confirmed.

Salesforce Devops

mcpServers (Claude Desktop / Cursor)
{
  "mcpServers": {
    "salesforce-devops": {
      "url": "https://serpent.cloud/mcp"
    }
  }
}

Kodey AI Salesforce MCP

mcpServers (Claude Desktop / Cursor)
{
  "mcpServers": {
    "kodey-ai-salesforce-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "@salesforce/mcp"
      ]
    }
  }
}

Frequently asked questions

Salesforce Devops is categorized under Customer Data Platforms and uses a remote HTTP/SSE transport. Kodey AI Salesforce MCP belongs to Customer Data Platforms and uses a local stdio subprocess. Pick Salesforce Devops for customer data platforms work and Kodey AI Salesforce MCP for customer data platforms.

Copy the mcpServers block from the config section on this page into your client's config (for example claude_desktop_config.json or ~/.cursor/mcp.json), then fully restart the client.

Salesforce Devops has no declared pricing — check the project's own site. Kodey AI Salesforce MCP has no declared pricing — check the project's own site. If a server needs environment variables such as API keys, define them under the env key in your client's MCP config.

Yes. MCP clients support multiple servers: add salesforce-devops and kodey-ai-salesforce-mcp as separate keys in the same mcpServers object, and your assistant will call tools from either one.

On AllMCPs, Salesforce Devops has a quality signal of 37/100 (Fair) with 0 views, 0 installs and 0 GitHub stars. Kodey AI Salesforce MCP has 40/100 (Fair) with 1 views, 0 installs and 0 GitHub stars.