mcp-gtm-signals-aggregator
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| APIFY_TOKEN | Yes | Your Apify API token |
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 |
|---|---|
| aggregate_gtm_signalsA | Aggregate a company's GTM signals into one composite score. Runs hiring-signal and tech-stack detection in a single call and returns a flat, Clay-ready JSON row with a composite GTM score, a recommended action, and an optional plain-English summary. 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
With only one tool, there is no possibility of confusion between tools. The tool's purpose is singular and clearly defined.
The single tool name follows a clear verb_noun pattern (aggregate_gtm_signals), which is consistent by default.
The server has only one tool, which is too few for the apparent scope of aggregating GTM signals. While the tool is comprehensive, it would benefit from being split into separate operations (e.g., for hiring signals and tech stack detection) or providing additional control tools.
The tool covers the main aggregation function, but there are likely gaps: no ability to fetch raw signals individually, no configuration or filtering options, and no tools for related actions like listing available signal types or checking data sources.