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Glama

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault

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

CapabilityDetails
tools
{}

Tools

Functions exposed to the LLM to take actions

NameDescription
forge_addA

Fetch a docs URL (OpenAPI / llms.txt / HTML) and forge lean callable tools from it. Returns {tools: names}.

forge_listA

List forged tools in the local store.

forge_callB

Call a forged tool by name with args. Loads tool JSON from store then executes with timeout + truncation.

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

TDQS

A3.8/5.0

Scored across 3 tools

Disambiguation5/5

Each tool has a clearly distinct role: forge_add creates tools from a URL, forge_list enumerates them, and forge_call executes them. There is no overlap or ambiguity between the three operations.

Naming Consistency5/5

All tools share the forge_ prefix followed by a lowercase imperative verb: add, list, call. The naming is completely consistent and predictable.

Tool Count5/5

Three tools is appropriate for this focused server's scope: one to create tools, one to list them, and one to call them. Each tool earns its place and no extra tool is needed for the core workflow.

Completeness4/5

The add/list/call workflow covers the essential lifecycle of dynamically forged tools. However, there is no delete or refresh operation, so stale or outdated forged tools cannot be removed.

Maintenance

ActivityMaintained
ResponsivenessNo issues