Elasticsearch MCP Server Solution (TocharianOU/elasticsearch-mcp) is an MCP server listed on the M8ven Trust Index. It scores 62 out of 100, grade C. It declares 7 tools. No publisher has claimed this listing.
Enables comprehensive interaction with Elasticsearch APIs through natural language queries, specifically optimized for security analysis, threat detection, incident investigation, and compliance monitoring with advanced machine learning capabilities for anomaly detection.
Caution. Specific findings reduced this grade. They are listed on the page. Grades reflect the full trust pyramid: code, verification depth, and reputation. New projects cap at C until adoption is earned.
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The grade above is for the source repository. Registries can serve a different version, so we mark the ones we were not able to read.
These names and descriptions are the publisher's own, read from the source code. We print them as written. Our assessment is the findings above, not this list.
esql_queryExecute an Elasticsearch ES|QL query (requires ES 8.11+). ES|QL is Elasticsearch's pipe-based query language. Queries look like: FROM index_name | WHERE field == "value" | STATS count = COUNT(*) BY category | SORT count DESC | LIMIT 10 Useful for analytics, aggregations and data explorat…
execute_es_apiExecute any Elasticsearch API endpoint directly
get_mappingsGet field mappings for Elasticsearch index(es) with intelligent analysis and filtering
get_shardsGet detailed shard information with intelligent health analysis and optimization recommendations
list_data_streamsList and analyze Elasticsearch data streams with health monitoring and rollover tracking
list_indicesList all available Elasticsearch indices with smart filtering and analysis for large index sets
es_searchPerform an Elasticsearch search with the provided query DSL. Highlights are always enabled.
Disclosed vulnerabilities in this server's declared npm dependencies (via OSV). Whether each is reachable depends on the installed versions.
@modelcontextprotocol/sdk has cross-client data leak via shared server/transport instance reuse
Anthropic's MCP TypeScript SDK has a ReDoS vulnerability
Model Context Protocol (MCP) TypeScript SDK does not enable DNS rebinding protection by default
ES_API_KEYElasticsearch API key for authentication NoES_CA_CERTPath to custom CA certificate for Elasticsearch SSL/TLS NoES_PASSWORDElasticsearch password for basic authentication NoES_URLYour Elasticsearch instance URL YesES_USERNAMEElasticsearch username for basic authentication NoMAX_TOKEN_CALLMCP_HTTP_HOSTHTTP server host (when using HTTP transport) localhost Any valid hostMCP_HTTP_PORTHTTP server port (when using HTTP transport) 3000 1-65535MCP_TRANSPORTTransport mode selection stdio stdio, httpTool annotations
No tools have read-only/destructive annotations
Add readOnlyHint or destructiveHint annotations to every tool so hosts can warn users before invoking.
All four hints declared on every tool
7/7 tools missing one or more hints — esql_query (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); execute_es_api (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); get_mappings (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint), +4 more. OpenAI's directory rejects tools where any of the four hints are missing or non-boolean.
For every tool, set all four hints (readOnlyHint, destructiveHint, idempotentHint, openWorldHint) to explicit true/false values that match the handler’s actual behaviour.
Tool inputs are validated
Only 0/7 tool handlers declare input schemas (0%)
Declare an inputSchema with zod/joi/yup on every tool definition.
Tests exist
No test files found
Add tests that exercise each declared tool.
Production dependencies are patched
0 critical, 3 high severity in production deps — @modelcontextprotocol/sdk@1.22.0 (high), @modelcontextprotocol/sdk@1.22.0 (high)
Run npm audit fix, or upgrade the affected packages to a non-vulnerable version.
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