Elasticsearch Mcp Server
Let your coding agent query indices, run searches, and manage Elasticsearch from the IDE without hand-writing REST calls.
Overview
io.github.cr7258/elasticsearch-mcp-server is a Build-phase MCP server that connects AI coding agents to Elasticsearch for search and cluster operations.
What is this MCP server?
- Stdio MCP transport via PyPI package elasticsearch-mcp-server (v2.0.15)
- Configure hosts with ELASTICSEARCH_HOSTS (comma-separated URLs)
- Supports API key or username/password auth with optional TLS cert verification
- Designed for agent-driven index and search operations against Elasticsearch or Elastic Cloud
- Server schema version 2.0.15 on PyPI identifier elasticsearch-mcp-server
- Stdio transport with ELASTICSEARCH_HOSTS default https://localhost:9200
Community signal: 287 GitHub stars.
What problem does it solve?
Agents cannot safely explore or query your Elasticsearch data without a dedicated integration and correct host credentials.
Who is it for?
Indie builders with an existing Elasticsearch or Elastic Cloud deployment who want agent-assisted search debugging and index workflows.
Skip if: Teams that need a managed search SaaS with no cluster to operate, or builders with zero Elasticsearch footprint.
What do I get? / Deliverables
After registration, your agent can invoke MCP tools against your configured Elasticsearch hosts using your chosen auth method.
- MCP tool calls against your Elasticsearch cluster from the agent
- Repeatable search and index workflows without manual REST scripting
- Documented env-based connection for local and remote hosts
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Journey fit
Canonical shelf is Build because wiring search and data backends is where solo builders first adopt Elasticsearch tooling. Integrations is the right subphase: this MCP is a protocol bridge to an external datastore, not app UI or ship-time hardening.
How it compares
MCP database integration, not an Elasticsearch hosting or Kibana replacement skill.
Common Questions / FAQ
Who is elasticsearch-mcp-server for?
Solo and small-team developers who use Elasticsearch or Elastic Cloud and want MCP-connected agents to run searches and related operations from the editor.
When should I use elasticsearch-mcp-server?
Use it during Build or Operate when you are integrating search, debugging queries, or automating repetitive Elasticsearch tasks alongside your app work.
How do I add elasticsearch-mcp-server to my agent?
Install the PyPI package elasticsearch-mcp-server, set ELASTICSEARCH_HOSTS and ELASTICSEARCH_API_KEY (or username/password), add the stdio server to your MCP config, and restart the client.