Open Ai21 MCP Server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| API_KEY | Yes | API 密钥 (API key for authentication) |
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
} |
| logging | {} |
| prompts | {
"listChanged": false
} |
| resources | {
"subscribe": false,
"listChanged": false
} |
| extensions | {
"io.modelcontextprotocol/ui": {}
} |
| experimental | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| conversationC | talk to Llama 3 |
| get_img_urlD | GET IMG URL |
| image_background_removerD | IMAGE BACKGROUND REMOVER |
| ping_testC | ping |
| claude_3D | Use Claude 3 |
| gpt_3_5_based_chatbot_fast_and_reliableD | Try MATA G AI |
| get_bot_detailsD | GET BOT DETAILS |
| chatD | select a bot from https://prlabsapi.com/assistants?red=rapidapi get bot id from website and paste here to use the chatbot Note : user id is required for private bots available models : 'matag2.1','matag2.0','matag1.0', llama2-70b, gpt 3.5 |
| text_to_image_fast_and_high_qualityC | Stable and upgraded Version of Text To image. High Quality AI Image Generation at https://rapidapi.com/rphrp1985/api/chatgpt-42 |
| chatgpt_gpt_3_5_powerful_and_accurateD | Enjoy ChatGPT API at most affordable rate. |
| text_to_speechC | Convert text into speech |
| questionD | Our Context-Based Question Answering API provides a robust solution for answering questions based on given contexts or passages. By utilizing advanced natural language processing techniques, our API can understand the nuances of the context and accurately generate relevant answers to user queries. Whether you're building a virtual assistant, a knowledge base system, or any application that requires intelligent question answering, our API can assist you. Integrate our Context-Based Question An... |
| summarization_chatgptC | Our Summarization API is a powerful tool designed to provide comprehensive and condensed summaries of lengthy documents. Using advanced natural language processing algorithms, our API extracts the most important information from the text and generates concise summaries that capture the key points. By integrating our Summarization API into your applications, you can streamline content analysis, save time, and enable users to quickly grasp the main ideas of lengthy articles, reports, or researc... |
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 13 tools
Multiple tools serve essentially the same purpose (chatbots with different models), making it hard for an agent to choose correctly. Descriptions are vague and do not clearly differentiate the use cases.
Tool names are inconsistent, mixing short names (chat, conversation), long descriptive names (chatgpt_gpt_3_5_powerful_and_accurate), and model names (claude_3). No uniform verb-noun pattern.
The server has 13 tools, which falls within the typical well-scoped range. The count is not excessive or too minimal for its apparent purpose.
The tool set appears to be a random collection of AI APIs without a clear domain. It lacks basic operations like CRUD for any resource and has redundant chat tools while missing other standard AI capabilities.