mcp-icp-fit-scorer
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| APIFY_TOKEN | Yes | Your Apify API token. Get it at https://console.apify.com/account/integrations. |
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {
"listChanged": true
} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| score_icp_fitA | Score 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. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 1 tool
Only one tool exists, so there is no possibility of confusing it with another tool. The name and description clearly communicate its single, focused purpose.
The single tool uses a clear verb_noun pattern (score_icp_fit). There are no other naming conventions to create inconsistency or ambiguity.
One tool is at the low end of the typical range. For a narrow, single-purpose ICP scorer this is defensible, but the surface feels thin compared with more comprehensive MCP servers.
The tool covers the core scoring workflow well, with flexible ICP definition via template, JSON config, or plain-English description, and returns a per-signal breakdown. Minor gaps exist around managing stored ICP templates or estimating Apify credit usage before making a call.