MCP Icp Fit Scorer vs Mindbox MCP
A side-by-side look at the MCP Icp Fit Scorer and Mindbox MCP MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
Verdict: choose MCP Icp Fit Scorer for customer data platforms work as a local process; choose Mindbox 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 MCP Icp Fit Scorer when
- You need dedicated capabilities in the Customer Data Platforms domain.
- You prefer a local stdio subprocess transport.
- Its auth model fits you: API key required.
- You have the keys it needs:
APIFY_TOKEN. - You want tools like
score_icp_fit.
Choose Mindbox MCP when
- You need dedicated capabilities in the Customer Data Platforms domain.
- You prefer a local stdio subprocess transport.
- You have the keys it needs:
MINDBOX_API_KEY, MINDBOX_ENDPOINT_ID.
Feature & specification comparison
Rows where the two servers differ are marked.
| Spec | ||
|---|---|---|
| Category | Customer Data Platforms | Customer Data Platforms |
| Quality signal | 63/100 · Good | 41/100 · Fair |
| Install command | Confirmed | Confirmed |
| Transport | Local subprocess (stdio) | Local subprocess (stdio) |
| Auth | API key required | Not declared |
| Pricing | BYOK (pay the provider) | Not declared |
| Required env vars | APIFY_TOKEN | MINDBOX_API_KEYMINDBOX_ENDPOINT_ID |
| Verified owner | Community listing | Community listing |
| GitHub stars | 3 | 4 |
| Directory activity | 1 views 0 installs 0 upvotes | 0 views 0 installs 0 upvotes |
| Tools | 1 | Not listed |
| Full listing | View MCP Icp Fit Scorer | View Mindbox MCP |
Tools & capabilities
MCP Icp Fit Scorer tools 1
score_icp_fitScore a company against your ideal customer profile (ICP) using weighted signals. Returns a 0 to 100 icp_score, an A to D icp_tier, and a per-signal breakdown as a flat, Clay-ready JSON row. Define your ICP with a prebuilt template, a JSON scoring_config, or a plain-English icp_description (which requires llm_api_key). Read-only; requires an APIFY_TOKEN and consumes Apify credits per call.
Mindbox 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.
MCP Icp Fit Scorer
{
"mcpServers": {
"mambalabsdev-mcp-icp-fit-scorer": {
"command": "npx",
"args": [
"-y",
"@mambalabsdev/mcp-icp-fit-scorer"
],
"env": {
"APIFY_TOKEN": "YOUR_APIFY_TOKEN_HERE"
}
}
}
}
Mindbox MCP
{
"mcpServers": {
"mindbox-mcp": {
"command": "npx",
"args": [
"-y",
"@theyahia/mindbox-mcp"
],
"env": {
"MINDBOX_API_KEY": "YOUR_MINDBOX_API_KEY_HERE",
"MINDBOX_ENDPOINT_ID": "YOUR_MINDBOX_ENDPOINT_ID_HERE"
}
}
}
}
Frequently asked questions
MCP Icp Fit Scorer is categorized under Customer Data Platforms and uses a local stdio subprocess. Mindbox MCP belongs to Customer Data Platforms and uses a local stdio subprocess. Pick MCP Icp Fit Scorer for customer data platforms work and Mindbox 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.
MCP Icp Fit Scorer is bring-your-own-key: usage is billed by the API provider you supply a key for. Auth: api key required. Mindbox 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 mambalabsdev-mcp-icp-fit-scorer and mindbox-mcp as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, MCP Icp Fit Scorer has a quality signal of 63/100 (Good) with 1 views, 0 installs and 3 GitHub stars. Mindbox MCP has 41/100 (Fair) with 0 views, 0 installs and 4 GitHub stars.