Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add Friz-zy/ai-capability-registry --skill elasticsearchgit clone --depth 1 https://github.com/Friz-zy/ai-capability-registryWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/friz-zy/ai-capability-registry/elasticsearch)<a href="https://agentmods.dev/skills/friz-zy/ai-capability-registry/elasticsearch"><img src="https://agentmods.dev/badge/skills/friz-zy/ai-capability-registry/elasticsearch/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/friz-zy/ai-capability-registry/elasticsearch"><img src="https://agentmods.dev/badge/skills/friz-zy/ai-capability-registry/elasticsearch.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00015 | $0.00364 |
| Opus 5 | $0.00008 | $0.00182 |
| Sonnet 5 | $0.00003 | $0.00073 |
| Haiku 4.5 | $0.00002 | $0.00036 |
Grade A, and why
elasticsearch-mcp scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Elasticsearch
Interact with your Elasticsearch indices through natural language conversations.
When to use
- Use Elasticsearch only when the task directly involves the relevant service, SaaS product, platform, or technology.
Connection
Docker stdio
{
"command": "docker",
"args": [
"run",
"--rm",
"-i",
"-e",
"ES_API_KEY",
"mcp/elasticsearch",
"stdio"
]
}
MCP instructions
- Use the MCP tools only for the user-requested service workflow and prefer read-only operations by default.
- Confirm the target account, workspace, project, repository, or dataset before actions that can read private data or mutate remote state.
- This server requires authorization or environment-provided credentials; ask the user before connecting or requesting access.
Docker launch notes
- Launch through Docker stdio with
docker run --rm -i -e ES_API_KEY mcp/elasticsearch stdio. - Confirm required environment variables before launch: ES_API_KEY.
References
- https://github.com/elastic/mcp-server-elasticsearch
- https://github.com/docker/mcp-registry/tree/main/servers/elasticsearch
Security policy
- Trust:
reviewed - Default mode:
manual_review - Permission default:
manual_review - Authentication:
Unspecified in source metadata - Warning: Default mode is
manual_review. - Warning: Permission default is
manual_review. - Required posture: Complete manual review before connecting or invoking tools; this generated record does not grant approval.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 9d ago First seen · 61 lines · 15 tokens per session scan A db1cb6d6b9b8
elasticsearch-mcp is a skill published in the GitHub repository Friz-zy/ai-capability-registry (9 stars, last pushed 4d ago), licensed MIT. It adds 15 tokens to every session and 364 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
Other skills, from other repositories
Elasticsearch Testing Patterns
Elasticsearch testing including index management, query validation, mapping verification, bulk operation testing, and search relevance scoring.
elasticsearch-expert
Expert-level Elasticsearch, search, ELK stack, and full-text search. Use when the user mentions search, ELK, Logstash, Kibana, or full text search.
elasticsearch
Configure Elasticsearch mappings and ingest pipelines, investigate cluster health and queries, and plan reindexing or lifecycle changes.
elasticsearch
Guidance for managing Elasticsearch, a search and data-storage system that organizes information into searchable indexes. It covers cluster health, nodes, shards, indexes, and related status APIs.
similarity-search-patterns
Implement efficient similarity search with vector databases. Use when building semantic search, implementing nearest neighbor queries, or optimizing retrieval performance.
ddia-systems
Design data systems by understanding storage engines, replication, partitioning, transactions, and consistency models. Use when the user mentions "database choice", "which database should I use", "SQL or NoSQL", "replication lag", "partitioning strategy", "consistency vs availability", "stream processing", "ACID…