Prem MCP Server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| PREM_API_KEY | Yes | Your Prem AI API key | |
| PREM_PROJECT_ID | Yes | Your Prem project ID |
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 |
|---|---|
| chatC | Chat with Prem AI - supports chat completions with optional RAG capabilities. |
| prem_upload_documentC | Upload a document to a Prem AI repository |
| prem_chat_with_templateC | Chat using a predefined Prem AI prompt template |
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
The tools have some overlap but are distinguishable by their specific functions. 'chat' and 'prem_chat_with_template' both handle chat completions, which could cause confusion, but 'prem_chat_with_template' specifies template usage, and 'prem_upload_document' is clearly distinct for document uploads. The descriptions help differentiate them, but the chat-focused tools have ambiguous boundaries.
The naming is inconsistent with mixed conventions. 'chat' uses a simple verb, 'prem_chat_with_template' uses a verbose prefix and underscores, and 'prem_upload_document' follows a similar pattern but differs in structure. There is no uniform verb_noun pattern, and the prefix 'prem_' is applied inconsistently, leading to a chaotic naming style.
With 3 tools, the count is borderline for a server's scope. It feels thin, potentially lacking operations like document retrieval or template management, but it covers basic chat and document upload functionalities. For a Prem AI server, more tools might be expected to handle a complete workflow, making this slightly under-scoped.
There are significant gaps in the tool surface for a Prem AI domain. The tools cover chat completions and document upload but lack operations for retrieving documents, managing templates, or performing other AI tasks like embeddings or fine-tuning. This incomplete coverage will likely cause agent failures when trying to execute common workflows.