Backengine MCP vs Kodey AI Salesforce MCP
A side-by-side look at the Backengine MCP 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 Backengine MCP 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?
Choose Backengine MCP when
- You need dedicated capabilities in the Customer Data Platforms domain.
- You prefer a remote HTTP/SSE transport.
- You want tools like
list_projects, get_project, get_project_overview.
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 | 48/100 · Fair | 40/100 · Fair |
| Install command | Confirmed | Confirmed |
| Transport | Remote HTTP/SSE | 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 | 1 | 0 |
| Directory activity | 1 views 0 installs 0 upvotes | 1 views 0 installs 0 upvotes |
| Tools | 10 | Not listed |
| Full listing | View Backengine MCP | View Kodey AI Salesforce MCP |
Tools & capabilities
Backengine MCP tools 10
list_projectsList customers and prospects; filter by name, type, etc.get_projectRetrieve a customer or prospect, optionally with its overview.get_project_overviewPre-computed rolling 12-week summary for a customer or prospect.list_signalsList signals (categorized moments); filter by project, role, and time.find_similar_signalsSemantic search across signals from a natural-language query.list_sourcesList sources — transcripts, emails, Slack threads, and tickets.get_sourceRetrieve a source's content (summary, verbatim, or metadata only).list_rolesList the perspective lenses (e.g. product, sales, CS) used to filter signals.find_contactsFind contacts by name, email, job title, or project.list_signal_speakersList who has been speaking across signals.
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.
Backengine MCP
{
"mcpServers": {
"backengine-mcp": {
"url": "https://backengine-prod.backengine.ai/mcp"
}
}
}
Kodey AI Salesforce MCP
{
"mcpServers": {
"kodey-ai-salesforce-mcp": {
"command": "npx",
"args": [
"-y",
"@salesforce/mcp"
]
}
}
}
Frequently asked questions
Backengine MCP 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 Backengine MCP 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.
Backengine MCP 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 backengine-mcp and kodey-ai-salesforce-mcp as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, Backengine MCP has a quality signal of 48/100 (Fair) with 1 views, 0 installs and 1 GitHub stars. Kodey AI Salesforce MCP has 40/100 (Fair) with 1 views, 0 installs and 0 GitHub stars.