entity-extraction-mcp
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
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": false
} |
| resources | {
"subscribe": false,
"listChanged": false
} |
| experimental | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| recommend_couponsA | 추출된 Entity를 기반으로 멤버십 쿠폰을 추천합니다. places 배열이 필요합니다. |
| issue_ticketA | 배송 지연 건에 대한 티켓을 발급합니다. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
| 멤버십 대화 1 (영화 & 아이스크림) | 이바다와 김루가의 주말 약속 대화 |
| 멤버십 대화 2 (러닝 & 브런치) | 최가벨과 박벨루의 러닝 모임 대화 |
| 배송 지연 문의 | 김은지의 러닝화 배송 지연 문의 대화 |
| 멤버십 파트너 정보 | 멤버십 등급, 페르소나, 파트너 혜택 정보 |
TDQS
Scored across 2 tools
The two tools, recommend_coupons and issue_ticket, have completely distinct purposes: one handles coupon recommendations based on extracted entities, while the other issues tickets for delivery delays. There is no overlap or ambiguity between them.
Both tool names follow the consistent verb_noun pattern: recommend_coupons and issue_ticket. This makes the naming predictable and easy to understand.
With only 2 tools, the server is on the low end of the scale. While the tools themselves are focused, the server's name suggests a broader entity-extraction purpose, making the count feel somewhat thin.
The server is named entity-extraction-mcp, but there are no tools for extracting entities at all. The available tools are downstream actions that rely on extracted data, creating a severe gap between the server's stated purpose and its actual capabilities.