Intelagent MCP Template
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 | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| reverse_stringA | Reverse a string. Returns the original text, reversed text, and character count. |
| word_countA | Count words and characters in a string. Optionally count unique words. |
| server_infoA | Returns server metadata: name, version, registered tools, and registered resources. Useful for introspection and health checks. |
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 3 tools
Each tool has a clearly distinct purpose: reverse_string manipulates string order, word_count analyzes string content, and server_info provides metadata. There is no overlap in functionality, making tool selection unambiguous.
All tool names follow a consistent snake_case pattern with clear verb_noun structure (reverse_string, server_info, word_count). The naming is predictable and readable throughout the set.
With only 3 tools, the set feels thin for a general-purpose 'Intelagent MCP Template' server, suggesting limited scope or utility. However, the count is not extreme and could be appropriate for a minimal template.
For a template server, the tools cover basic string operations and introspection, but there are notable gaps in common utility functions (e.g., text formatting, mathematical operations). The surface is functional but incomplete for broader agent tasks.