ethereum-validator-queue-mcp
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
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
Server capabilities have not been inspected yet.
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| get_activation_queueA | Get current Ethereum validator activation queue statistics. |
| get_exit_queueA | Get current Ethereum validator exit queue statistics. |
| get_validator_statusA | Get status for a specific Ethereum validator by public key. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
| analyze_queue | Prompt to analyze current validator queue trends. Returns: A string prompt for LLM analysis of queue trends, including: - Queue length implications - Impact on ETH price and network security - Request for historical context |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 3 tools
Each tool has a clearly distinct purpose with no overlap: get_activation_queue focuses on activation statistics, get_exit_queue on exit statistics, and get_validator_status on individual validator details. The descriptions clearly differentiate between queue-level and validator-specific operations, eliminating any potential confusion.
All three tools follow a consistent verb_noun pattern with 'get_' prefix and descriptive suffixes (_activation_queue, _exit_queue, _validator_status). The naming is uniform, predictable, and clearly communicates each tool's function without any stylistic deviations.
Three tools is appropriate for the narrow scope of Ethereum validator queue monitoring, covering activation, exit, and individual status queries. While slightly minimal, each tool earns its place by addressing distinct aspects of the domain without redundancy or obvious omissions.
The toolset provides comprehensive read-only coverage for validator queue monitoring, including both aggregate queue statistics and individual validator status. A minor gap exists in the lack of write operations (e.g., initiating validator actions), but this aligns with the server's apparent monitoring focus, and agents can work effectively with the provided tools.