Borrowing it
Nothing to install: this file belongs to bpamiri/elasticsearch-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/bpamiri/elasticsearch-mcp/main/CLAUDE.mdgit clone --depth 1 https://github.com/bpamiri/elasticsearch-mcpWrote 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/instructions/bpamiri/elasticsearch-mcp/claude-md)<a href="https://agentmods.dev/instructions/bpamiri/elasticsearch-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/bpamiri/elasticsearch-mcp/claude-md/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/instructions/bpamiri/elasticsearch-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/bpamiri/elasticsearch-mcp/claude-md.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 | $0.01408 | $0.01408 |
| Opus 5 | $0.00704 | $0.00704 |
| Sonnet 5 | $0.00282 | $0.00282 |
| Haiku 4.5 | $0.00141 | $0.00141 |
Grade A, and why
elasticsearch-mcp CLAUDE.md 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 10d 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.
How it starts
The opening of the file, as written. The whole thing — 120 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
Project Overview
elasticsearch-mcp is a Python MCP (Model Context Protocol) server that enables AI assistants to interact with Elasticsearch clusters. It uses the official elasticsearch Python client and provides tools for searching, aggregations, index management, and cluster operations.
Development Commands
pip install -e ".[dev]" # Install with dev dependencies
pytest # All tests
pytest tests/test_config.py # Single file
pytest --cov=elasticsearch_mcp --cov-report=html # With coverage
ruff check . # Lint
ruff format . # Format
mypy src/ # Type check
Architecture
Transport Modes
The server (server.py:main) supports three transport modes via CLI args:
- stdio (default):
elasticsearch-mcp— for Claude Desktop local connections - SSE (legacy):
elasticsearch-mcp --http— HTTP/SSE for centralized deployment - Streamable HTTP:
elasticsearch-mcp --streamable-http— for Claude.ai Integrations with OAuth
Tool Registration Pattern
Tools are registered via @mcp.tool() decorators on the module-level mcp FastMCP instance in server.py. Connection tools (connect, disconnect, cluster_health, etc.) are defined directly in server.py. Domain tools are implemented in tools/ modules and called from server.py tool wrappers.
Module Layout
src/elasticsearch_mcp/
├── server.py # FastMCP instance, connection/cluster tools, CLI entry, transport modes
├── connection.py # ConnectionManager: async connect/disconnect, health check
├── config.py # Settings (pydantic-settings): all env vars including auth, watchdog, audit
├── auth/ # OAuth for Claude.ai Integrations (Streamable HTTP mode only)
│ ├── provider.py # ESOAuthProvider: bridges Claude.ai DCR to external IdPs
│ ├── callback.py # /oauth/callback route handler
│ ├── storage.py # In-memory auth state (clients, codes, tokens, pending auths)
│ └── idp/ # Identity provider adapters
│ ├── base.py # BaseIdPAdapter ABC (get_authorization_url, exchange_code, validate_token)
│ ├── duo.py # Cisco Duo adapter
│ ├── auth0.py # Auth0 adapter
│ └── oidc.py # Generic OIDC adapter
├── tools/ # MCP tool implementations
│ ├── cluster.py # cluster_health, cluster_info, list_nodes, cluster_stats
│ ├── indices.py # list_indices, describe_index, get_index_stats, get_mappings, get_aliases
│ └── search.py # search, search_simple, count, get_document, aggregate, terms_aggregation, date_histogram
├── resources/ # MCP resources (placeholder)
└── utils/ # Utility modules (placeholder)
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.
- 10d ago First seen · 120 lines · 1,408 tokens per session scan A 19665176716d
elasticsearch-mcp CLAUDE.md is an instructions file published in the GitHub repository bpamiri/elasticsearch-mcp (0 stars, last pushed 7mo ago), licensed Apache-2.0. It adds 1,408 tokens to every session, about $0.0070 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 2026-08-31.
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