Supabase
Supabase’s official server lets AI create tables, query data and review project settings in your Supabase database.
Description from the maker (original English)
MCP server for interacting with Elasticsearch
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We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
You need
Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"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"
}
}
}
}Run this in your terminal
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-serverPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"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"
}
}
}
}Paste into .vscode/mcp.json in your project
{
"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"
}
}
}
}ELASTICSEARCH_HOSTS envELASTICSEARCH_USERNAME envELASTICSEARCH_VERIFY_CERTS envValues marked secret are keys to your account. Never share them or paste them into a chat.
These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 5, 2026
The registry name was verified with the GitHub account cr7258, which owns the repo
Code last changed 17 days ago
Uses Apache-2.0
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Needs the server’s tool list first; this check starts in the next step
Compared only with servers in this prototype, not the whole registry.
It passed 3 of 3 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
You need to fill in: ELASTICSEARCH_API_KEY, ELASTICSEARCH_PASSWORD
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
The GitHub repo last changed 17 days ago, and the latest version (2.0.15) reached the registry 14 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.
In the same category: Supabase, MongoDB MCP Server, Postgres MCP
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
Supabase’s official server lets AI create tables, query data and review project settings in your Supabase database.
MongoDB Model Context Protocol Server
Enterprise PostgreSQL MCP server with NL queries, hybrid search (pgvector+BM25), and web UI
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
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"