MCP Tools Lab
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
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {
"listChanged": false
} |
| prompts | {
"listChanged": false
} |
| resources | {
"subscribe": false,
"listChanged": false
} |
| experimental | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| analyze_textA | Count Unicode words, characters, lines, and approximate sentences. Words are letter/digit sequences (apostrophes within words are kept). Sentences are nonempty pieces separated by '.', '!', or '?'. This is a simple heuristic, not linguistic analysis. |
| process_jsonC | Validate or format JSON using Python numbers; pretty output uses two spaces. |
| inspect_csvA | Report rows, empty cells, and ragged records (record 1 is the header). Missing counts include absent trailing cells and whitespace-only cells. Entirely blank records are skipped by Python's CSV reader. |
| hash_textA | Hash UTF-8 text using SHA-256, SHA-512, or BLAKE2b; return lowercase hex. |
| compare_textB | Return a unified diff and counts; ignore line-ending style and final newline. |
| convert_timestampA | Convert Unix seconds to UTC ISO 8601, or an offset-aware ISO date to seconds. ISO input must include a time and timezone, such as 2026-01-01T12:00:00+05:30. |
| inspect_urlC | Inspect an absolute URL with a hostname; preserve repeated/blank query values. |
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 7 tools
Each tool has a clearly distinct purpose: text analysis, JSON processing, CSV inspection, hashing, text comparison, URL inspection, and timestamp conversion. There is no overlap in functionality, and the descriptions make the boundaries explicit.
Most tool names follow a verb_noun pattern (analyze_text, process_json, inspect_csv, hash_text, compare_text, inspect_url, convert_timestamp). The consistency is strong, though the verbs vary (analyze, process, inspect, hash, compare, convert) which is appropriate for the diverse actions but slightly reduces uniformity.
With 7 tools, the server is well-scoped for a utility toolkit. Each tool addresses a specific common task without redundancy, making the set feel complete and purposeful.
The tools cover a range of common text and data operations (text analysis, JSON, CSV, hashing, diffing, URL parsing, timestamp conversion). However, some potentially related operations like base64 encoding or other hash algorithms are missing, though these are not critical for the stated scope.