Kodey AI Salesforce MCP vs Permits
A side-by-side look at the Kodey AI Salesforce MCP and Permits 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 Permits 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 Permits when
- You need dedicated capabilities in the Customer Data Platforms domain.
- You prefer a local stdio subprocess transport.
- You have the keys it needs:
ADDRESSINTEL_API_KEY, ADDRESSINTEL_API_BASE. - You want tools like
search_permits, list_sb9_inventory, list_adu_leads.
Feature & specification comparison
Rows where the two servers differ are marked.
| Spec | ||
|---|---|---|
| Category | Customer Data Platforms | Customer Data Platforms |
| Quality signal | 40/100 · Fair | 52/100 · Good |
| 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 | ADDRESSINTEL_API_KEYADDRESSINTEL_API_BASE |
| 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 | Not listed | 6 |
| Full listing | View Kodey AI Salesforce MCP | View Permits |
Tools & capabilities
Kodey AI Salesforce MCP tools
No tool names declared yet. Check the project README from the listing page.
Permits tools 6
search_permitsWhat construction has actually been permitted at an address or in a city? Filters on city, keyword (address, project type, scope description, contractor, architect, permit number) and minimum valuation.list_sb9_inventoryWhich active listings can be split or duplexed under SB 9, and what blocks the ones that can't?list_adu_leadsWhich parcels have room for an ADU, and how many units / how much square footage?list_redevelopment_leadsWhich parcels are underbuilt against their allowable envelope (scrape-and-rebuild or expansion)?list_market_signalsWhich listings score highest for teardown or flip potential?get_property_intelligenceFull scores and comparable sales for one property id.
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"
]
}
}
}
Permits
{
"mcpServers": {
"permits": {
"command": "npx",
"args": [
"-y",
"addressintel-mcp"
],
"env": {
"ADDRESSINTEL_API_KEY": "YOUR_ADDRESSINTEL_API_KEY_HERE",
"ADDRESSINTEL_API_BASE": "YOUR_ADDRESSINTEL_API_BASE_HERE"
}
}
}
}
Frequently asked questions
Kodey AI Salesforce MCP is categorized under Customer Data Platforms and uses a local stdio subprocess. Permits belongs to Customer Data Platforms and uses a local stdio subprocess. Pick Kodey AI Salesforce MCP for customer data platforms work and Permits 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. Permits 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 kodey-ai-salesforce-mcp and permits 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 1 views, 0 installs and 0 GitHub stars. Permits has 52/100 (Good) with 0 views, 0 installs and 0 GitHub stars.