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The AWS ElastiCache MCP Server MCP server costs 8,838 tokens before the first call.

Connect AWS ElastiCache MCP Server and its 39 tool definitions are loaded into the model's context on every request — 4.4% of a 200k window spent before your agent does anything.

QUICK ANSWER The AWS ElastiCache MCP Server MCP server's tool definitions consume 8,838 tokens — 4.6× the median MCP server (1,905 tokens). A scoped grant exposing only the tools you use cuts that roughly in proportion.

MEASURED FROM SCHEMAS 39 tools · 8,838 tokens · 4.4% of 200k · 0.9% of 1M Method →

What that buys before your agent starts working.

Tool definitions are overhead: they occupy context on every request and compete with your code, documents and conversation history for the same window.

200K WINDOW 4.4%
1M WINDOW 0.9%

Corpus context: AWS ElastiCache MCP Server ranks #204 of 3,213 measured MCP servers by definition cost. The median is 1,905 tokens, p90 is 7,952, and the heaviest (Fusionauth) is 183,337 — 92% of a 200k window on its own.

Where the 8,838 tokens go.

Each row is one tool definition as a tools/list entry — name, description and input schema — counted with o200k_base. Average: 227 tokens per tool.

ToolCategoryTokens% of server
create-serverless-cache Write 620 7.0%
describe-cache-engine-versions Read 418 4.7%
describe-events Read 410 4.6%
modify-serverless-cache Write 378 4.3%
describe-cache-clusters Read 361 4.1%
filter-log-events Execute 330 3.7%
modify-replication-group-shard-configuration Write 323 3.7%
describe-engine-default-parameters Read 322 3.6%
create-jump-host-serverless-cache Write 298 3.4%
create-jump-host-replication-group Write 294 3.3%
create-jump-host-cache-cluster Write 287 3.2%
describe-replication-groups Read 284 3.2%
get-log-events Read 272 3.1%
describe-service-updates Read 264 3.0%
describe-log-groups Read 256 2.9%
describe-log-streams Read 239 2.7%
get-metric-statistics Read 206 2.3%
describe-serverless-caches Read 198 2.2%
delete-replication-group Destructive 195 2.2%
complete-migration Write 177 2.0%
get-cost-and-usage Read 175 2.0%
create-log-group Write 171 1.9%
delete-cache-cluster Destructive 169 1.9%
start-migration Execute 167 1.9%
batch-stop-update-action Execute 165 1.9%
batch-apply-update-action Write 164 1.9%
get-ssh-tunnel-command-serverless-cache Read 163 1.8%
get-ssh-tunnel-command-replication-group Read 161 1.8%
test-migration Read 160 1.8%
get-ssh-tunnel-command-cache-cluster Read 156 1.8%
connect-jump-host-serverless-cache Write 154 1.7%
list-delivery-streams Read 152 1.7%
connect-jump-host-replication-group Write 152 1.7%
connect-jump-host-cache-cluster Write 147 1.7%
delete-serverless-cache Destructive 140 1.6%
create-replication-group Write 118 1.3%
modify-replication-group Write 115 1.3%
modify-cache-cluster Write 39 0.4%
create-cache-cluster Write 38 0.4%

Most agents use a handful of these tools. They pay for all 39.

A PolicyLayer grant exposes only the tools you allow — ungranted definitions are filtered out of the tool list, so they never enter the context window. Estimates below assume typical-weight tools (227 tokens each).

Grant scopeDefinition costReduction
All 39 tools (no gateway) 8,838 tokens
3 granted tools ~680 tokens −92%
5 granted tools ~1,133 tokens −87%
10 granted tools ~2,266 tokens −74%

AWS ElastiCache MCP Server token-cost questions.

How many tokens does the AWS ElastiCache MCP Server MCP server use?+

Its 39 tool definitions total 8,838 tokens — 4.4% of a 200k context window — measured with tiktoken o200k_base over the serialised tools/list payload. Exact counts vary slightly by client and model.

Why does AWS ElastiCache MCP Server consume tokens before I send a message?+

MCP clients load every connected server's tool definitions — name, description, and input schema — into the model's context so it knows what it can call. That payload is charged against your context window on every request, whether or not a tool is used.

How do I reduce AWS ElastiCache MCP Server's token usage?+

Expose fewer tools. A PolicyLayer grant scopes AWS ElastiCache MCP Server to only the tools you allow — ungranted definitions are filtered out of the tool list, so they never enter the context window. A grant of 3 typical tools costs roughly 680 tokens, a 92% reduction.

Does deferred tool loading fix this?+

Partially, in some clients. Claude Code defers MCP tool schemas behind a tool-search step by default, and VS Code has experimental grouping — but you still pay tokens per search and reload, and Cursor, Windsurf and Gemini CLI load definitions upfront. Reducing the exposed tool set cuts the cost in every client.

How these numbers were measured.

01
Serialisation

Each tool is serialised as a tools/list entry — name, description, input schema — from the schemas in the PolicyLayer scan database. Clients differ slightly in framing, so treat counts as close estimates.

02
Tokeniser

tiktoken o200k_base (GPT-4o/o-series). Anthropic's current tokeniser isn't published, so Claude's exact counts will differ; for English text and JSON schemas the totals are close enough to treat these as estimates.

03
Deferred loading

Some clients now defer schema loading (Claude Code's tool search; VS Code experimental grouping). You still pay per search and reload — and Cursor, Windsurf and Gemini CLI load everything upfront.

Computed 07-06-2026 from the PolicyLayer scan database over all 39 catalogued AWS ElastiCache MCP Server tools. Counts refresh with every site build.

Expose only the tools you use — the rest never enter your context.

A PolicyLayer grant scopes AWS ElastiCache MCP Server to the tools you actually allow. Ungranted definitions never load, and every call that does run is checked against policy first.

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