REPOGEO REPORT · LITE

elastic/mcp-server-elasticsearch

Default branch main · commit a2b050d0 · scanned 6/2/2026, 7:32:01 PM

GitHub: 667 stars · 141 forks

AI VISIBILITY SCORE

35 /100

Critical

Category recall

0 / 2

Not recommended in any query

Rule findings

1 pass · 1 warn · 0 fail

Objective metadata checks

AI knows your name

3 / 3

Direct prompts that named your repo

HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface elastic/mcp-server-elasticsearch, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION

highabout#1

Add a concise "About" description

Why:

COPY-PASTE FIX

Connects AI agents to Elasticsearch data using the Model Context Protocol (MCP) for natural language interactions.

highreadme#2

Reposition README content to state core purpose before deprecation

Why:

CURRENT

The README starts with `# Elasticsearch MCP Server` followed by a `[!CAUTION]` block, then `## Use the Elasticsearch MCP Server for AI Agents`.

COPY-PASTE FIX

# Elasticsearch MCP Server: Connect AI Agents to Elasticsearch via MCP

The Elasticsearch MCP Server connects your AI agents to Elasticsearch data using the Model Context Protocol (MCP), enabling natural language interactions with your Elasticsearch indices.

> [!CAUTION]
> This MCP server is deprecated and will only receive critical security updates going forward.
> It has been superseded by the Elastic Agent Builder MCP endpoint, which is available in Elastic 9.2.0+ and Elasticsearch Serverless projects.

mediumtopics#3

Refine topics to be more specific to AI agent integration

Why:

CURRENT

elasticsearch, mcp, mcp-server, vector-database

COPY-PASTE FIX

elasticsearch, mcp, mcp-server, ai-agents, natural-language-processing, data-access, elastic-agent-builder

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall

0 / 2

0% of queries surface elastic/mcp-server-elasticsearch

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

Elasticsearch Python Client

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

Elasticsearch Python Client · recommended 1×
Elasticsearch Java Client · recommended 1×
Elasticsearch.js · recommended 1×
Elasticsearch Ruby Client · recommended 1×
elastic/go-elasticsearch · recommended 1×

CATEGORY QUERY
How can I connect my AI agent to an Elasticsearch cluster for data access?
you: not recommended
AI recommended (in order):
1. Elasticsearch Python Client
2. Elasticsearch Java Client
3. Elasticsearch.js
4. Elasticsearch Ruby Client
5. Elasticsearch Go Client (elastic/go-elasticsearch)
6. LangChain
7. LlamaIndex
AI recommended 7 alternatives but never named elastic/mcp-server-elasticsearch. This is the gap to close.
Show full AI answer
CATEGORY QUERY
What tools allow natural language querying of Elasticsearch indices by AI applications?
you: not recommended
AI recommended (in order):
1. Elasticsearch
2. LangChain (langchain-ai/langchain)
3. LlamaIndex (run-llama/llama_index)
4. Haystack (deepset-ai/haystack)
5. OpenSearch (opensearch-project/OpenSearch)
6. OpenAI GPT models
7. Anthropic Claude
8. Llama 2/3 (facebookresearch/llama)
9. OpenAI embedding models
10. Sentence Transformers (UKPLab/sentence-transformers)
AI recommended 10 alternatives but never named elastic/mcp-server-elasticsearch. This is the gap to close.
Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

Metadata completeness
warn
Suggestion:
README presence
pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

Compared to common alternatives in this category, what is the core differentiator of elastic/mcp-server-elasticsearch?
pass
AI named elastic/mcp-server-elasticsearch explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts elastic/mcp-server-elasticsearch in production, what risks or prerequisites should they evaluate first?
pass
AI named elastic/mcp-server-elasticsearch explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
In one sentence, what problem does the repo elastic/mcp-server-elasticsearch solve, and who is the primary audience?
pass
AI named elastic/mcp-server-elasticsearch explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

Embed your GEO score

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MARKDOWN (README)

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HTML

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Brand-free category queries5 vs 2 in Lite
Prioritized action items8 vs 3 in Lite