Kodey AI Salesforce MCP vs Search Console MCP
A side-by-side look at the Kodey AI Salesforce MCP and Search Console MCP MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
Verdict: choose Kodey AI Salesforce MCP for customer data platforms work as a local process; choose Search Console 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 Kodey AI Salesforce MCP when
- You need dedicated capabilities in the Customer Data Platforms domain.
- You prefer a local stdio subprocess transport.
Choose Search Console MCP when
- You need dedicated capabilities in the Customer Data Platforms domain.
- You prefer a local stdio subprocess transport.
- Its auth model fits you: OAuth 2.0.
- You have the keys it needs:
GOOGLE_APPLICATION_CREDENTIALS, BING_API_KEY. - You want tools like
get_started, sites_list, sites_manage.
Feature & specification comparison
Rows where the two servers differ are marked.
| Spec | ||
|---|---|---|
| Category | Customer Data Platforms | Customer Data Platforms |
| Quality signal | 40/100 · Fair | 68/100 · Great |
| Install command | Confirmed | Confirmed |
| Transport | Local subprocess (stdio) | Local subprocess (stdio) |
| Auth | Not declared | OAuth 2.0 |
| Pricing | Not declared | Free |
| Required env vars | None listed | GOOGLE_APPLICATION_CREDENTIALSBING_API_KEY |
| Verified owner | Community listing | Community listing |
| GitHub stars | 0 | 297 |
| Directory activity | 0 views 0 installs 0 upvotes | 3 views 0 installs 0 upvotes |
| Tools | Not listed | 25 |
| Full listing | View Kodey AI Salesforce MCP | View Search Console MCP |
Tools & capabilities
Kodey AI Salesforce MCP tools
No tool names declared yet. Check the project README from the listing page.
Search Console MCP tools 25
get_startedStart here. Returns a complete map of this server's capabilities, active platforms, and recommended workflows. Call this once at the beginning of any session.sites_listList verified web properties across Google Search Console, Bing Webmaster Tools, or GA4.sites_manageAdd or delete a web property from Google Search Console or Bing Webmaster Tools.accounts_manageManage Google Search Console service accounts and site permissions.sitemaps_listList submitted XML sitemaps and status for a site.sitemaps_submitSubmit a new XML sitemap to Google Search Console and/or Bing Webmaster Tools.sitemaps_deleteDelete a sitemap from Google Search Console or Bing Webmaster Tools.analytics_queryUnified search performance query replacing single-dimension tools. Supports queries, pages, countries, devices, and search appearances.analytics_comparePeriod-over-period search performance comparisons, trends, and traffic drop attributions.analytics_anomaliesDetect search traffic anomalies across Google and Bing.analytics_advancedGoogle Analytics 4 (GA4) e-commerce, realtime metrics, user behavior, and conversion funnels.genai_query_insightsDetect likely generative-AI / AI-Mode / conversational fanout queries across Google and Bing. Because neither search engine exposes generative-AI citation data via its public API yet, this matches heuristic patterns (prompt verbs, follow-ups, conversational phrasing) on regular query-level performance data; it is an undercount, not an official report.- +13 more on 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.
Kodey AI Salesforce MCP
{
"mcpServers": {
"kodey-ai-salesforce-mcp": {
"command": "npx",
"args": [
"-y",
"@salesforce/mcp"
]
}
}
}
Search Console MCP
{
"mcpServers": {
"saurabhsharma2u-search-console-mcp": {
"command": "npx",
"args": [
"-y",
"search-console-mcp"
],
"env": {
"GOOGLE_APPLICATION_CREDENTIALS": "YOUR_GOOGLE_APPLICATION_CREDENTIALS_HERE",
"BING_API_KEY": "YOUR_BING_API_KEY_HERE"
}
}
}
}
Frequently asked questions
Kodey AI Salesforce MCP is categorized under Customer Data Platforms and uses a local stdio subprocess. Search Console MCP belongs to Customer Data Platforms and uses a local stdio subprocess. Pick Kodey AI Salesforce MCP for customer data platforms work and Search Console 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.
Kodey AI Salesforce MCP has no declared pricing — check the project's own site. Search Console MCP is listed as free. Auth: oauth 2.0. 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 kodey-ai-salesforce-mcp and saurabhsharma2u-search-console-mcp as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, Kodey AI Salesforce MCP has a quality signal of 40/100 (Fair) with 0 views, 0 installs and 0 GitHub stars. Search Console MCP has 68/100 (Great) with 3 views, 0 installs and 297 GitHub stars.