ExecuFunction vs Kodey AI Salesforce MCP
A side-by-side look at the ExecuFunction 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.
Verdict: choose ExecuFunction for customer data platforms work as a local process; 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?
Choose ExecuFunction when
- You need dedicated capabilities in the Customer Data Platforms domain.
- You prefer a local stdio subprocess transport.
- You want tools like
context_current, find_capability, request_capability.
Choose Kodey AI Salesforce MCP when
- You need dedicated capabilities in the Customer Data Platforms domain.
- You prefer a local stdio subprocess transport.
Feature & specification comparison
Rows where the two servers differ are marked.
| Spec | ||
|---|---|---|
| Category | Customer Data Platforms | Customer Data Platforms |
| Quality signal | 53/100 · Good | 40/100 · Fair |
| Install command | Confirmed | Confirmed |
| Transport | Local subprocess (stdio) | Local subprocess (stdio) |
| Auth | Not declared | Not declared |
| Pricing | Not declared | Not declared |
| Required env vars | None listed | None listed |
| Verified owner | Community listing | Community listing |
| GitHub stars | 0 | 0 |
| Directory activity | 1 views 0 installs 0 upvotes | 0 views 0 installs 0 upvotes |
| Tools | 80 | Not listed |
| Full listing | View ExecuFunction | View Kodey AI Salesforce MCP |
Tools & capabilities
ExecuFunction tools 80
context_currentResolve principal, owner, project, repository, checkout, and effective capability contextfind_capabilityDiscover callable, missing, requestable, and unsupported capabilitiesrequest_capabilityInspect recovery or request an OAuth authorization challengeproject_listList projects with status filtering, bounded cursor pagination, stable IDs, and compact summariesproject_createCreate a new projectproject_updateUpdate project name, summary, status, emojiproject_archiveArchive a project (destructive)project_get_contextGet full project context (tasks, notes, signals)task_listList human planning tasks with project/status/phase/effort/title filterstask_getGet a single human planning task with full detailstask_createCreate a human planning task with priority, phase, effort, acceptance criteriatask_updateUpdate human planning task fields (title, status, priority, phase, effort, scope)- +68 more on 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.
ExecuFunction
{
"mcpServers": {
"execufunction": {
"command": "npx",
"args": [
"-y",
"@siftable/mcp-server"
]
}
}
}
Kodey AI Salesforce MCP
{
"mcpServers": {
"kodey-ai-salesforce-mcp": {
"command": "npx",
"args": [
"-y",
"@salesforce/mcp"
]
}
}
}
Frequently asked questions
ExecuFunction is categorized under Customer Data Platforms and uses a local stdio subprocess. Kodey AI Salesforce MCP belongs to Customer Data Platforms and uses a local stdio subprocess. Pick ExecuFunction 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.
ExecuFunction 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 execufunction and kodey-ai-salesforce-mcp as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, ExecuFunction has a quality signal of 53/100 (Good) with 1 views, 0 installs and 0 GitHub stars. Kodey AI Salesforce MCP has 40/100 (Fair) with 0 views, 0 installs and 0 GitHub stars.