MCP Elasticsearch Server

v1.0.0

Community

MCPsearchanalyticsmcpmodel-context-protocol
76
Strong
About This MCP

Community-maintained MCP server for Elasticsearch search and analytics operations. Enables AI models to perform full-text search, aggregations, indexing, and data analytics on large-scale datasets. Essential for AI-powered search optimization, log analysis, and business intelligence workflows.

Last Evaluated: November 9, 2025
Official Website

Trust Vector Analysis

Dimension Breakdown

🚀Performance & Reliability
+
search accuracy

Search relevance testing

Evidence
Elasticsearch Search — Highly accurate full-text search with relevance scoring
highVerified: 2025-11-09
aggregation reliability

Aggregation accuracy testing

Evidence
Elasticsearch Aggregations — Powerful aggregation framework with accurate analytics
highVerified: 2025-11-09
large index performance

Scalability testing

Evidence
Elasticsearch Performance — Performance degrades with very large indices; requires optimization
mediumVerified: 2025-11-09
cluster stability

Cluster stability testing

Evidence
Elasticsearch Cluster Health — Stable cluster operations with automatic shard management
mediumVerified: 2025-11-09
error recovery

Error handling testing

Evidence
Implementation Review — Handles Elasticsearch errors with retry and timeout management
mediumVerified: 2025-11-09
🛡️Security
+
authentication security

Authentication mechanism review

Evidence
Elasticsearch Security — Supports API keys, basic auth, and security features (X-Pack)
highVerified: 2025-11-09
credential exposure risk

Credential security analysis

Evidence
MCP Security Model — Elasticsearch credentials stored locally; accessible to AI
highVerified: 2025-11-09
query injection risk

Injection vulnerability testing

Evidence
Security Analysis — AI can construct arbitrary queries and scripts
highVerified: 2025-11-09
index modification risk

Operation authorization testing

Evidence
Elasticsearch API — AI can index, update, and delete documents within permissions
highVerified: 2025-11-09
index deletion risk

Destructive operation testing

Evidence
Implementation Review — Can delete indices if permissions allow
mediumVerified: 2025-11-09
audit logging

Audit logging review

Evidence
Elasticsearch Audit Logging — Comprehensive audit logging available in X-Pack Security
highVerified: 2025-11-09
🔒Privacy & Compliance
+
document data exposure

Data flow analysis

Evidence
MCP Data Flow — Search results and indexed documents sent to LLM provider
highVerified: 2025-11-09
pii in logs

PII exposure assessment

Evidence
Privacy Analysis — Log data and application logs may contain PII
highVerified: 2025-11-09
field level security

Field security assessment

Evidence
Elasticsearch Field-Level Security — Field-level security available in X-Pack but requires configuration
mediumVerified: 2025-11-09
third party data sharing

Data sharing analysis

Evidence
LLM Provider Policies — Search results shared with LLM provider per their privacy policy
highVerified: 2025-11-09
index pattern exposure

Index privacy assessment

Evidence
Privacy Analysis — Index names and mappings may reveal data structure
mediumVerified: 2025-11-09
👁️Trust & Transparency
+
documentation quality

Documentation completeness review

Evidence
Elasticsearch MCP Docs — Good documentation but community-maintained with evolving coverage
mediumVerified: 2025-11-09
query visibility

Query logging assessment

Evidence
MCP Protocol — All queries logged in MCP transaction logs
highVerified: 2025-11-09
open source transparency

Source code review

Evidence
GitHub Repository — Open source community implementation
highVerified: 2025-11-09
api coverage clarity

API documentation review

Evidence
MCP Server Documentation — Clear but incomplete documentation of supported Elasticsearch APIs
mediumVerified: 2025-11-09
⚙️Operational Excellence
+
ease of setup

Setup complexity assessment

Evidence
Setup Documentation — Requires Elasticsearch connection URL and credentials
highVerified: 2025-11-09
search performance

Performance benchmarking

Evidence
Elasticsearch Performance — Performance varies with index size and query complexity (typically 50-500ms)
mediumVerified: 2025-11-09
reliability

Reliability analysis

Evidence
Elasticsearch Stability — Built on mature Elasticsearch client libraries
highVerified: 2025-11-09
api coverage

Feature coverage assessment

Evidence
Elasticsearch MCP Server — Covers search, aggregations, indexing, and index management
highVerified: 2025-11-09
community support

Community support assessment

Evidence
GitHub Community — Community-maintained with moderate activity
mediumVerified: 2025-11-09
Strengths
  • +Highly accurate full-text search with relevance scoring
  • +Powerful aggregation framework for analytics and insights
  • +Built on mature Elasticsearch client libraries
  • +Excellent for log analysis and business intelligence
  • +Open source community implementation
  • +Comprehensive audit logging in X-Pack Security
Limitations
  • !Search results and indexed documents exposed to LLM provider
  • !Log data may contain PII and sensitive information
  • !AI can modify and delete indices within permission scope
  • !Elasticsearch credentials accessible to AI
  • !Performance issues with very large indices without optimization
  • !Field-level security requires X-Pack and careful configuration
Metadata
license: MIT
supported platforms
0: All platforms with Node.js/Python
programming languages
0: TypeScript
1: Python
mcp version: 1.0
github repo: https://github.com/modelcontextprotocol/servers
api dependency: Elasticsearch client libraries
authentication: API keys, Basic auth, X-Pack Security
first release: 2024-11
maintained by: Community

Use Case Ratings

code generation

Good for generating search queries and analytics dashboards

customer support

Excellent for searching support tickets and knowledge bases

content creation

Useful for content search and recommendation systems

data analysis

Excellent for log analysis, business intelligence, and data exploration

research assistant

Ideal for full-text research across large document collections

legal compliance

Risk of exposing legal documents; requires field-level security

healthcare

High risk of exposing patient data in logs and indices

financial analysis

Moderate risk; financial transaction data exposure concerns

education

Excellent for teaching search technologies and data analytics

creative writing

Useful for searching writing archives and research materials