MCP Server with OpenAI Integration
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| MCP_PORT | No | Reserved for future transports | 7337 |
| LOG_LEVEL | No | Log level: fatal → trace | info |
| UI_DEMO_PORT | No | Optional port for the browser UI demo | 4399 |
| OPENAI_API_KEY | Yes | API key for OpenAI | |
| MCP_SERVER_NAME | No | Name advertised to MCP clients | |
| OPENAI_BASE_URL | No | Override base URL for Azure/OpenAI proxies | |
| MCP_TOOL_MODULES | No | Comma-separated absolute paths to extra tool modules | |
| OPENAI_TIMEOUT_MS | No | Timeout (ms) applied to OpenAI API calls | 20000 |
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 | {
"listChanged": true
} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| knowledge_searchC | Searches curated knowledge base snippets stored as markdown files. |
| text_summarizerC | Summarizes long text into concise bullet points using the configured LLM. |
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 2 tools
The two tools have clearly distinct purposes: knowledge_search retrieves information from a knowledge base, while text_summarizer condenses provided text. There is no overlap in functionality, and an agent would easily differentiate between them.
Both tools use snake_case naming, which is consistent. However, knowledge_search follows a noun_verb pattern (knowledge_search), while text_summarizer uses a noun_verb pattern with a suffix (text_summarizer), showing a minor deviation in naming style.
With only 2 tools, the server feels thin for an 'OpenAI Integration' purpose, which typically implies broader capabilities like text generation, translation, or analysis. This limited set may not adequately cover the expected scope.
Given the server's name suggests OpenAI integration, there are significant gaps: no tools for text generation, translation, sentiment analysis, or other common LLM tasks. The surface is incomplete, likely causing agent failures for broader use cases.