Skip to main content
Glama
soulware-studio

promethic-mcp

Promethic MCP

Listed on mcpservers.org

Public packaging and docs for the Promethic hosted MCP server.

Promethic is a prompt library: store versioned prompts where you set the model, switch models, and dial API-only settings (reasoning, verbosity, and other dials). Text, image, and JSON. Edit the output as you work; it tracks those edits and successful copy/download. Refine proposes the next version.

Hosted endpoint

Related MCP server: Tripleshot MCP Server

Clients

See https://getpromethic.com/agents for Claude Desktop, Cursor, Claude iOS, claude.ai, and Codex CLI config.

License

Documentation in this repo is provided by Soulware Studio LLC. The Promethic product itself remains proprietary.

Local packaging

This repository includes a minimal stdio MCP server for packaging and introspection. The production MCP server is the hosted endpoint above. No real API keys are included in this repository.

Available Tools

2 tools
get_agents_docs_urlA

Return the Promethic agent setup and client configuration URL.

ParametersJSON Schema
NameRequiredDescriptionDefault

No parameters

TDQS

A3.8/5.0
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries the full behavioral burden. It indicates a read-only 'Return' operation, but does not disclose whether the URL is static, requires any authentication, or whether any network call is involved. For a trivial URL getter this is adequate but not deeply transparent.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

A single, front-loaded sentence that delivers the essential information with no filler or repetition. Every word earns its place.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a zero-parameter tool that simply returns a URL, the description is complete. It tells the agent exactly what to expect (the URL) and leaves no critical gaps, even without an output schema or annotations.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema is empty with zero parameters, so the baseline is 4. The description adds no parameter details because there are none to document, which is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states a specific verb ('Return') and a specific resource ('Promethic agent setup and client configuration URL'). It is unambiguous about what the tool does, though it does not explicitly differentiate itself from the sibling tool get_connection_info.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The usage context is implied by the description: an agent should call this when it needs the agent setup/client configuration URL. However, there is no explicit guidance about when not to use it or how it compares to get_connection_info.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

get_connection_infoB

Return connection details for the hosted Promethic MCP server.

ParametersJSON Schema
NameRequiredDescriptionDefault

No parameters

TDQS

B3.4/5.0
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the burden of behavior disclosure. 'Return' implies a read-only operation, and the hosted-server context adds some specificity, but the description does not disclose the shape of the returned details or any failure/edge-case behavior.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

A single, direct sentence with no filler. The key action and target resource are front-loaded, and every word contributes to the meaning.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool is simple and has no parameters, so the description is minimally adequate. However, with no output schema and no annotations, the description does not clarify what 'connection details' actually include, which leaves some ambiguity for the agent.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool has zero parameters and 100% schema coverage by default, so there is nothing for the description to add about parameter meaning. The baseline of 4 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action ('Return') and the resource ('connection details for the hosted Promethic MCP server'). It does not explicitly contrast with the sibling tool get_agents_docs_url, but the resource is distinct enough that an agent can infer the difference.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is provided about when to use this tool versus the sibling tool get_agents_docs_url. The purpose is implied, but there are no explicit context cues, exclusions, or alternative routing.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. 2 tool updatesv0.1.0
    • First observedget_agents_docs_url
    • First observedget_connection_info

TDQS

A3.7/5.0
Disambiguation5/5

Each tool has a clearly distinct purpose: one provides connection details, the other provides a documentation URL. There is no overlap or ambiguity between them.

Naming Consistency5/5

Both tools follow the exact same 'get_' + noun pattern, making the naming perfectly consistent and predictable.

Tool Count3/5

With only 2 tools, the server feels thin but the narrow scope (returning server info) is reasonable. The count sits at the borderline where it is acceptable but not substantial.

Completeness4/5

For the apparent purpose of providing connection and documentation information, the surface is complete. Minor additions like a status or configuration tool could be imagined, but no obvious gap exists for the stated domain.

Maintenance

ActivityMaintained
ResponsivenessNo issues

Related MCP Connectors

Related MCP Servers

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/soulware-studio/promethic-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server