Kortx MCP Server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| ENABLE_CCLSP | No | Enable CCLSP connector | false |
| OPENAI_MODEL | No | OpenAI model to use (default: gpt-5.1-2025-11-13) | gpt-5.1-2025-11-13 |
| ENABLE_MEMORY | No | Enable MCP Knowledge Graph connector | false |
| ENABLE_SERENA | No | Enable Serena connector (requires Serena MCP server) | false |
| OPENAI_API_KEY | Yes | Your OpenAI API key | |
| OPENAI_VERBOSITY | No | Verbosity level | low |
| CACHE_MAX_SIZE_MB | No | Maximum cache size in MB | 100 |
| OPENAI_MAX_TOKENS | No | Maximum tokens for response | 1024 |
| PERPLEXITY_API_KEY | Yes | Your Perplexity API key | |
| ENABLE_RATE_LIMITING | No | Enable rate limiting | true |
| INCLUDE_FILE_CONTENT | No | Include local file excerpts in context | true |
| ENABLE_RESPONSE_CACHE | No | Enable response caching | true |
| MAX_REQUESTS_PER_HOUR | No | Maximum requests per hour | 100 |
| OPENAI_REASONING_EFFORT | No | Reasoning effort level | minimal |
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 |
|---|---|
| think-about-planB | Get strategic feedback on plans and approaches. Analyzes clarity, feasibility, risks, dependencies, and suggests alternatives. |
| suggest-alternativeB | Suggest alternative approaches or solutions. Considers different paradigms, simpler solutions, proven patterns, and trade-offs. |
| improve-copyB | Improve text, documentation, or messaging. Focuses on clarity, conciseness, tone, structure, technical accuracy, and accessibility. |
| solve-problemC | Debug and problem-solving assistance. Performs root cause analysis, provides diagnosis steps, solutions, testing guidance, and prevention strategies. |
| consultB | Ask domain-specific questions with expert consultation. Supports multiple domains: software-architecture, security, performance, database, devops, frontend, backend, ai-ml, or general. |
| search-contentA | Perform real-time web search using Perplexity Sonar models. Returns comprehensive, well-sourced answers with citations from the web. |
| create-visualA | Create, edit, or search for visual content. Supports three modes: generate (create images from text), edit (modify existing images), and search (find visual inspiration from the web). Note: Supported image sizes are 1024x1024, 1536x1024, 1024x1536, or auto - custom sizes like 512x512 are not available. |
| batch-consultA | Execute multiple consultation requests in parallel. Accepts an array of tool calls and executes them concurrently for improved performance. |
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 8 tools
Each tool has a distinct purpose: parallel consultation, single consultation, image operations, text improvement, web search, debugging, alternatives, and planning. No overlapping functionality.
All tool names follow a consistent hyphenated lower-case verb-noun pattern (e.g., create-visual, search-content), with 'consult' as a simple verb fitting the pattern. No mixed conventions.
With 8 tools, the server covers a broad range of consultation services without being excessive. Each tool adds clear value, and the count is appropriate for a general-purpose expert assistant.
The tool set covers key consultation needs: asking questions, searching the web, planning, problem-solving, improving copy, and creating visuals. No obvious gaps for a general assistant; all core workflows are supported.