Elasticsearch 7.x MCP Server
Elasticsearch 7.x MCP 서버
Elasticsearch 7.x 버전과의 호환성을 제공하는 Elasticsearch 7.x용 MCP 서버입니다.
특징
Elasticsearch 7.x와 상호 작용하기 위한 MCP 프로토콜 인터페이스를 제공합니다.
기본적인 Elasticsearch 작업(ping, info 등)을 지원합니다.
집계 쿼리, 강조 표시, 정렬 및 기타 고급 기능을 포함한 완전한 검색 기능을 지원합니다.
모든 MCP 클라이언트를 통해 Elasticsearch 기능에 쉽게 액세스하세요
Related MCP server: Elasticsearch MCP Server
요구 사항
파이썬 3.10+
Elasticsearch 7.x(7.17.x 권장)
설치
Smithery를 통해 설치
Smithery를 통해 Claude Desktop에 Elasticsearch 7.x MCP 서버를 자동으로 설치하려면:
지엑스피1
수동 설치
pip install -e .환경 변수
서버에는 다음과 같은 환경 변수가 필요합니다.
ELASTIC_HOST: Elasticsearch 호스트 주소(예: http://localhost:9200 )ELASTIC_USERNAME: Elasticsearch 사용자 이름ELASTIC_PASSWORD: Elasticsearch 비밀번호MCP_PORT: (선택 사항) MCP 서버 수신 포트, 기본값 9999
Docker Compose 사용
.env파일을 만들고ELASTIC_PASSWORD설정합니다.
ELASTIC_PASSWORD=your_secure_password서비스 시작:
docker-compose up -d이렇게 하면 3노드 Elasticsearch 7.17.10 클러스터, Kibana 및 MCP 서버가 시작됩니다.
MCP 클라이언트 사용
MCP 서버에 연결하려면 모든 MCP 클라이언트를 사용할 수 있습니다.
from mcp import MCPClient
client = MCPClient("localhost:9999")
response = client.call("es-ping")
print(response) # {"success": true}API 문서
현재 지원되는 MCP 방법:
es-ping: Elasticsearch 연결 확인es-info: Elasticsearch 클러스터 정보 가져오기es-search: Elasticsearch 인덱스에서 문서 검색
검색 API 예제
기본 검색
# Basic search
search_response = client.call("es-search", {
"index": "my_index",
"query": {
"match": {
"title": "search keywords"
}
},
"size": 10,
"from": 0
})집계 쿼리
# Aggregation query
agg_response = client.call("es-search", {
"index": "my_index",
"size": 0, # Only need aggregation results, no documents
"aggs": {
"categories": {
"terms": {
"field": "category.keyword",
"size": 10
}
},
"avg_price": {
"avg": {
"field": "price"
}
}
}
})고급 검색
# Advanced search with highlighting, sorting, and filtering
advanced_response = client.call("es-search", {
"index": "my_index",
"query": {
"bool": {
"must": [
{"match": {"content": "search term"}}
],
"filter": [
{"range": {"price": {"gte": 100, "lte": 200}}}
]
}
},
"sort": [
{"date": {"order": "desc"}},
"_score"
],
"highlight": {
"fields": {
"content": {}
}
},
"_source": ["title", "date", "price"]
})개발
저장소를 복제합니다
개발 종속성 설치
서버를 실행합니다:
elasticsearch7-mcp-server
특허
[LICENSE 파일의 라이센스]
Maintenance
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
Related MCP Servers
- AlicenseAqualityAmaintenanceFacilitates interaction with Elasticsearch clusters by allowing users to perform index operations, document searches, and cluster management via a Model Context Protocol server and natural language commands.20303Apache 2.0
- AlicenseBqualityCmaintenanceConnects agents to Elasticsearch data using the Model Context Protocol, allowing natural language interaction with Elasticsearch indices through MCP Clients like Claude Desktop and Cursor.117023MIT
- AlicenseBqualityCmaintenanceAn MCP server that enables interaction with Elasticsearch and OpenSearch clusters for searching documents and managing indices. It provides tools for cluster health monitoring, index configuration, and general API requests.16Apache 2.0
- AlicenseNot gradedqualityDmaintenanceMCP server that provides tools and resources to interact with Elasticsearch clusters, including listing indices, searching, and retrieving mappings.3MIT
Related MCP Connectors
A paid remote MCP for Context7 MCP docs, built to return verdicts, receipts, usage logs, and audit-r
Agentic search over your Dewey document collections from any MCP-compatible client.
Search your AI chat history (ChatGPT, Claude, Codex) from any MCP client. Remote, private, read-only
Latest Blog Posts
- Who's Calling? MCP Hosts Are an Identity Blind Spot (And the Spec Knows It)By Om-Shree-0709 on .mcpAgent IdentityOAuth 2.1
- Your AI Chatbot Just Exposed Your CEO's Salary to an InternBy Om-Shree-0709 on .Agent IdentityMCP SecurityOAuth Delegation
- Why MCP Servers Need Execution Sandboxing (And Why Your Current Stack Isn't Enough)By Om-Shree-0709 on .Agentic AiPrompt InjectionWebAssembly
MCP directory API
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/imlewc/elasticsearch7-mcp-server'
If you have feedback or need assistance with the MCP directory API, please join our Discord server