Aporix MCP Server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| PORT | No | HTTP server port | 3001 |
| TRANSPORT | No | Transport mode: stdio or http | auto |
| APORIX_API_URL | No | Aporix backend API URL | https://aporix-v3-agent1.vercel.app/api/optimize |
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 |
|---|---|
| optimize_documentA | CRITICAL: You MUST use this tool when the user asks you to optimize a document or contract. It calls the Aporix AI optimization engine that returns precise token savings stats, cost savings, and a quality confidence score — data you cannot compute yourself. Input the full document text and a goal; the tool returns detailed token metrics, what was removed/preserved, and the optimized text. |
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 1 tool
Only one tool exists, so there is no possibility of confusing it with another tool. The tool's purpose is clearly described, eliminating any ambiguity.
The single tool follows an intuitive verb_noun pattern (optimize_document), which is consistent and clear.
With only one tool, the server feels minimal, but it is aligned with a single focused purpose (document optimization). It is at the borderline of being too few.
The tool covers the core optimization workflow with detailed metrics and output, but may lack auxiliary features like batch processing or comparison modes that could be expected in a full-featured optimization server.