Supabase
MCP server for interacting with the Supabase platform
제작자가 쓴 설명(영어 원문)
MCP server for interacting with Elasticsearch
이 세 가지는 절대 하나의 점수로 합치지 않아요. 의견, 측정, 인기는 서로 다른 것이니까요.
이 서버는 아직 쉬운 말로 된 요약을 쓰지 못했어요. 아래는 레지스트리에서 읽어 온 사실이에요.
쓰고 있는 AI 앱을 고른 다음 설정을 복사하세요.
ELASTICSEARCH_HOSTS, ELASTICSEARCH_API_KEY, ELASTICSEARCH_USERNAME, ELASTICSEARCH_PASSWORD, ELASTICSEARCH_VERIFY_CERTS비밀로 표시된 값은 내 계정의 열쇠예요. 절대 다른 사람과 공유하거나 채팅에 붙여 넣지 마세요.
필요한 것
어떤 앱을 쓰세요?
위에서 앱을 고르세요. 기억해 두었다가 다음부터는 버튼에 “…에 설치”라고 표시해요.
Claude Desktop → Settings → Developer → Edit Config를 열고 claude_desktop_config.json에 이 내용을 붙여 넣으세요
{
"mcpServers": {
"elasticsearch": {
"command": "uvx",
"args": [
"elasticsearch-mcp-server"
],
"env": {
"ELASTICSEARCH_HOSTS": "your-value",
"ELASTICSEARCH_API_KEY": "your-value",
"ELASTICSEARCH_USERNAME": "your-value",
"ELASTICSEARCH_PASSWORD": "your-value",
"ELASTICSEARCH_VERIFY_CERTS": "your-value"
}
}
}
}터미널에서 이 명령어를 실행하세요
claude mcp add elasticsearch --env ELASTICSEARCH_HOSTS=your-value --env ELASTICSEARCH_API_KEY=your-value --env ELASTICSEARCH_USERNAME=your-value --env ELASTICSEARCH_PASSWORD=your-value --env ELASTICSEARCH_VERIFY_CERTS=your-value -- uvx elasticsearch-mcp-server실행하기 전에 빈 값을 채워 주세요.
프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"elasticsearch": {
"command": "uvx",
"args": [
"elasticsearch-mcp-server"
],
"env": {
"ELASTICSEARCH_HOSTS": "your-value",
"ELASTICSEARCH_API_KEY": "your-value",
"ELASTICSEARCH_USERNAME": "your-value",
"ELASTICSEARCH_PASSWORD": "your-value",
"ELASTICSEARCH_VERIFY_CERTS": "your-value"
}
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"elasticsearch": {
"type": "stdio",
"command": "uvx",
"args": [
"elasticsearch-mcp-server"
],
"env": {
"ELASTICSEARCH_HOSTS": "your-value",
"ELASTICSEARCH_API_KEY": "your-value",
"ELASTICSEARCH_USERNAME": "your-value",
"ELASTICSEARCH_PASSWORD": "your-value",
"ELASTICSEARCH_VERIFY_CERTS": "your-value"
}
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
이 서버는 내 컴퓨터에서 실행되는데, ChatGPT는 인터넷에 있는 서버에만 연결할 수 있어요. 다른 앱을 고르세요.
선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.
ELASTICSEARCH_HOSTS envELASTICSEARCH_USERNAME envELASTICSEARCH_VERIFY_CERTS env이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.
내 컴퓨터에서 실행돼요. 설치하면 AI 앱에 도구 목록이 나타나요.
누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 7일 점검
레지스트리 이름이 GitHub 계정 cr7258 기준으로 확인되었고, 이 계정이 저장소를 소유하고 있어요
코드 마지막 변경: 19일 전
Apache-2.0 사용
내 컴퓨터에서 실행되는 서버라 인터넷 엔드포인트가 없어요
내 컴퓨터에서 실행되며, 대신 로컬 설정을 사용해요
내 컴퓨터에서 실행돼요. 도구 목록은 인터넷 엔드포인트가 있는 서버에서만 읽을 수 있어요
레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.
해당하는 기본 점검 3개 중 3개를 통과했어요. 코드는 읽지 않았어요. 키나 토큰을 넣기 전에 서버가 어떤 권한을 요구하는지 확인하고, 꼭 필요한 권한만 있는 키를 쓰세요.
입력해야 할 값: ELASTICSEARCH_API_KEY, ELASTICSEARCH_PASSWORD
내 컴퓨터에서 실행돼요. AI 앱이 필요할 때 실행하고, 데이터는 제작자의 서버를 거치지 않아요(서버 자체가 온라인 서비스를 호출하는 경우는 제외).
GitHub 저장소는 마지막으로 19일 전 변경됐고, 최신 버전(2.0.15)은 14개월 전 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. 내 컴퓨터에 Python (uv)도 있어야 해요.
같은 카테고리에는: Supabase, MongoDB MCP Server, Postgres MCP
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i
MCP server for interacting with the Supabase platform
MongoDB Model Context Protocol Server
Enterprise PostgreSQL MCP server with NL queries, hybrid search (pgvector+BM25), and web UI
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
A Model Context Protocol (MCP) server implementation that provides Elasticsearch and OpenSearch interaction. This server enables searching documents, analyzing indices, and managing cluster through a set of tools.
https://github.com/user-attachments/assets/f7409e31-fac4-4321-9c94-b0ff2ea7ff15
general_api_request: Perform a general HTTP API request. Use this tool for any Elasticsearch/OpenSearch API that does not have a dedicated tool.list_indices: List all indices.get_index: Returns information (mappings, settings, aliases) about one or more indices.create_index: Create a new index.delete_index: Delete an index.create_data_stream: Create a new data stream (requires matching index template).get_data_stream: Get information about one or more data streams.delete_data_stream: Delete one or more data streams and their backing indices.search_documents: Search for documents.index_document: Creates or updates a document in the index.get_document: Get a document by ID.delete_document: Delete a document by ID.delete_by_query: Deletes documents matching the provided query.get_cluster_health: Returns basic information about the health of the cluster.get_cluster_stats: Returns high-level overview of cluster statistics.list_aliases: List all aliases.get_alias: Get alias information for a specific index.put_alias: Create or update an alias for a specific index.delete_alias: Delete an alias for a specific index.analyze_text: Analyze text using a specified analyzer or custom analysis chain. Useful for debugging search queries and understanding how text is tokenized.The MCP server supports the following environment variables:
ELASTICSEARCH_USERNAME: Username for basic authenticationELASTICSEARCH_PASSWORD: Password for basic authenticationOPENSEARCH_USERNAME: Username for OpenSearch basic authenticationOPENSEARCH_PASSWORD: Password for OpenSearch basic authenticationELASTICSEARCH_API_KEY: API key for Elasticsearch or Elastic Cloud Authentication.ELASTICSEARCH_HOSTS / OPENSEARCH_HOSTS: Comma-separated list of hosts (default: https://localhost:9200)ELASTICSEARCH_CLUSTERS / OPENSEARCH_CLUSTERS: Inline JSON object for named cluster configurations. When set, tools can target a specific cluster with the optional cluster parameter.ELASTICSEARCH_CLUSTERS_FILE / OPENSEARCH_CLUSTERS_FILE: Path to a JSON file with the clusters object. Recommended when the configuration is embedded inside another JSON file (e.g. the MCP client config) because it avoids JSON-in-JSON escaping. Takes precedence over the inline variable when both are set.DEFAULT_CLUSTER: Default cluster name to use when multi-cluster configuration is set and a tool call omits cluster (defaults to the first configured cluster).VERIFY_CERTS: Whether to verify SSL certificates (default: false)REQUEST_TIMEOUT: Request timeout in seconds (optional, uses client default if not set)By default, the server uses a single Elasticsearch cluster from ELASTICSEARCH_HOSTS, ELASTICSEARCH_USERNAME, ELASTICSEARCH_PASSWORD, and ELASTICSEARCH_API_KEY, or a single OpenSearch cluster from OPENSEARCH_HOSTS, OPENSEARCH_USERNAME, and OPENSEARCH_PASSWORD. To configure multiple named clusters, set ELASTICSEARCH_CLUSTERS (or OPENSEARCH_CLUSTERS) to a JSON object inside the MCP server configuration. Because the value is a JSON string embedded in another JSON file, the inner quotes need to be escaped:
{
"mcpServers": { "elasticsearch-mcp-server": { "command": "uvx", "args": [ "elasticsearch-mcp-server" ], "env": { "ELASTICSEARCH_CLUSTERS": "{\"prod\": {\"hosts\": [\"https://prod-es:9200\"], \"api_key\": \" \", \"verify_certs\": true}, \"staging\": {\"hosts\": [\"https://staging-es:9200\"], \"username\": \"elastic\", \"password\": \" \"}}", "DEFAULT_CLUSTER": "prod" } } } }
For better readability, point ELASTICSEARCH_CLUSTERS_FILE (or OPENSEARCH_CLUSTERS_FILE) at a standalone JSON file instead. The value is just a path so it avoids the JSON-in-JSON escaping:
{
"mcpServers": { "elasticsearch-mcp-server": { "command": "uvx", "args": [ "elasticsearch-mcp-server" ], "env": { "ELASTICSEARCH_CLUSTERS_FILE": "/etc/mcp/es-clusters.json", "DEFAULT_CLUSTER": "prod" } } } }
/etc/mcp/es-clusters.json:
{
"prod": { "hosts": ["https://prod-es:9200"], "api_key": " ", "verify_certs": true }, "staging": { "hosts": ["https://staging-es:9200"], "username": "elastic", "password": " " } }
Every tool accepts an optional cluster parameter. If omitted, the server uses DEFAULT_CLUSTER. When DEFAULT_CLUSTER is not set, the first cluster in the JSON object is used as the default. A tool call targeting a specific cluster looks like:
{
"cluster": "staging", "index": "logs-*", "body": { "query": { "match_all": {} } } }
When running the MCP server with HTTP-based transports (SSE or Streamable HTTP), you can enable Bearer token authentication to protect the server from unauthorized access.
MCP_API_KEY: API key for MCP server authentication. Clients must include Authorization: Bearer header.Important Security Notes:
sse, streamable-http). The stdio transport uses local process communication and doesn't require authentication.MCP_API_KEY is not set, the MCP server will be accessible without authentication. This is a security risk when exposing the server over a network.# Generate a secure API key (example using openssl)
export MCP_API_KEY=$(openssl rand -base64 32)
export MCP_API_KEY="your-secure-api-key-here"
DISABLE_HIGH_RISK_OPERATIONS: Set to true to disable all write operations (default: false)DISABLE_OPERATIONS: Comma-separated list of specific operations to disable (optional, uses default write operations list if not set)When DISABLE_HIGH_RISK_OPERATIONS is set to true, all MCP tools that perform write operations are completely hidden from the MCP client. In this mode, the following MCP tools are disabled by default.
create_indexdelete_indexindex_documentdelete_documentdelete_by_querycreate_data_streamdelete_data_streamput_aliasdelete_aliasgeneral_api_requestOptionally, you can specify a comma-separated list of operations to disable in the DISABLE_OPERATIONS environment variable.
# Disable High-Risk Operations
export DISABLE_HIGH_RISK_OPERATIONS=true
export DISABLE_OPERATIONS="delete_index,delete_document,delete_by_query"
Opt in to serialize tool-result payloads as GCF (Graph Compact Format), a token-optimized wire format, in the content block the model reads. Elasticsearch returns large, uniform record sets (search hits, aggregation buckets, mappings), the shape GCF compacts best: on representative responses it is ~39% fewer tokens than compact JSON (40% on search hits), losslessly.
export RESPONSE_FORMAT=gcf
structuredContent is preserved unchanged, so a tool's declared output schema still validates and any non-model client keeps receiving JSON; only the model-facing text block is re-encoded. Encoding is fail-safe: any error, including a value outside GCF's canonical int64 numeric domain (which GCF rejects rather than silently approximating), leaves the original JSON result untouched, so a tool call is never dropped over encoding. Default behavior is unchanged when RESPONSE_FORMAT is unset.
Reproduce the token comparison: uv run --with tiktoken python benchmarks/gcf_benchmark.py.
Start the Elasticsearch/OpenSearch cluster using Docker Compose:
# For Elasticsearch
docker-compose -f docker-compose-elasticsearch.yml up -d
docker-compose -f docker-compose-opensearch.yml up -d
The default Elasticsearch username is elastic and password is test123. The default OpenSearch username is admin and password is admin.
You can access Kibana/OpenSearch Dashboards from http://localhost:5601.
Using uvx will automatically install the package from PyPI, no need to clone the repository locally. Add the following configuration to 's config file claude_desktop_config.json.
// For Elasticsearch with username/password
{ "mcpServers": { "elasticsearch-mcp-server": { "command": "uvx", "args": [ "elasticsearch-mcp-server" ], "env": { "ELASTICSEARCH_HOSTS": "https://localhost:9200", "ELASTICSEARCH_USERNAME": "elastic", "ELASTICSEARCH_PASSWORD": "test123" } } } }
// For Elasticsearch with API key { "mcpServers": { "elasticsearch-mcp-server": { "command": "uvx", "args": [ "elasticsearch-mcp-server" ], "env": { "ELASTICSEARCH_HOSTS": "https://localhost:9200", "ELASTICSEARCH_API_KEY": " " } } } }
// For OpenSearch { "mcpServers": { "opensearch-mcp-server": { "command": "uvx", "args": [ "opensearch-mcp-server" ], "env": { "OPENSEARCH_HOSTS": "https://localhost:9200", "OPENSEARCH_USERNAME": "admin", "OPENSEARCH_PASSWORD": "admin" } } } }
Using uv requires cloning the repository locally and specifying the path to the source code. Add the following configuration to Claude Desktop's config file claude_desktop_config.json.
// For Elasticsearch with username/password
{ "mcpServers": { "elasticsearch-mcp-server": { "command": "uv", "args": [ "--directory", "path/to/elasticsearch-mcp-server", "run", "elasticsearch-mcp-server" ], "env": { "ELASTICSEARCH_HOSTS": "https://localhost:9200", "ELASTICSEARCH_USERNAME": "elastic", "ELASTICSEARCH_PASSWORD": "test123" } } } }
// For Elasticsearch with API key { "mcpServers": { "elasticsearch-mcp-server": { "command"