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The Mcp Grafana Npx MCP server costs 12,096 tokens before the first call.

Connect Mcp Grafana Npx and its 52 tool definitions are loaded into the model's context on every request — 6.0% of a 200k window spent before your agent does anything.

QUICK ANSWER The Mcp Grafana Npx MCP server's tool definitions consume 12,096 tokens — 6.3× the median MCP server (1,905 tokens). A scoped grant exposing only the tools you use cuts that roughly in proportion.

MEASURED FROM SCHEMAS 52 tools · 12,096 tokens · 6.0% of 200k · 1.2% 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 6.0%
1M WINDOW 1.2%

Corpus context: Mcp Grafana Npx ranks #132 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 12,096 tokens go.

Each row is one tool definition as a tools/list entry — name, description and input schema — counted with o200k_base. Average: 233 tokens per tool.

ToolCategoryTokens% of server
alerting_manage_rules Write 1,353 11.2%
update_dashboard Write 841 7.0%
query_loki_logs Read 479 4.0%
query_prometheus Read 415 3.4%
get_panel_image Read 405 3.3%
alerting_manage_routing Write 392 3.2%
list_alert_groups Read 383 3.2%
query_prometheus_histogram Read 367 3.0%
query_pyroscope Read 359 3.0%
list_prometheus_label_values Read 337 2.8%
list_prometheus_label_names Read 310 2.6%
query_loki_stats Read 291 2.4%
generate_deeplink Write 289 2.4%
query_loki_patterns Read 270 2.2%
list_pyroscope_label_values Read 260 2.1%
create_incident Write 251 2.1%
get_assertions Read 247 2.0%
create_annotation Write 244 2.0%
get_dashboard_property Read 234 1.9%
list_pyroscope_label_names Read 234 1.9%
grafana_api_request Read 225 1.9%
list_loki_label_values Read 222 1.8%
list_pyroscope_profile_types Read 220 1.8%
get_annotations Read 219 1.8%
get_dashboard_panel_queries Read 199 1.6%
list_prometheus_metric_names Read 190 1.6%
list_loki_label_names Read 172 1.4%
list_prometheus_metric_metadata Read 158 1.3%
find_error_pattern_logs Read 152 1.3%
list_oncall_users Read 148 1.2%
find_slow_requests Read 143 1.2%
list_oncall_schedules Read 143 1.2%
add_activity_to_incident Write 141 1.2%
update_annotation Write 138 1.1%
list_datasources Read 132 1.1%
get_sift_investigation Read 129 1.1%
get_sift_analysis Read 126 1.0%
get_datasource Read 119 1.0%
list_incidents Read 114 0.9%
search_dashboards Read 114 0.9%
create_folder Write 105 0.9%
get_plugin Read 94 0.8%
get_dashboard_by_uid Read 89 0.7%
get_current_oncall_users Read 87 0.7%
get_oncall_shift Read 83 0.7%
get_dashboard_summary Read 82 0.7%
list_sift_investigations Read 70 0.6%
get_annotation_tags Read 69 0.6%
get_incident Read 67 0.6%
get_alert_group Read 66 0.5%
list_oncall_teams Read 60 0.5%
search_folders Read 59 0.5%

Most agents use a handful of these tools. They pay for all 52.

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 (233 tokens each).

Grant scopeDefinition costReduction
All 52 tools (no gateway) 12,096 tokens
3 granted tools ~698 tokens −94%
5 granted tools ~1,163 tokens −90%
10 granted tools ~2,326 tokens −81%

Mcp Grafana Npx token-cost questions.

How many tokens does the Mcp Grafana Npx MCP server use?+

Its 52 tool definitions total 12,096 tokens — 6.0% 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 Mcp Grafana Npx 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 Mcp Grafana Npx's token usage?+

Expose fewer tools. A PolicyLayer grant scopes Mcp Grafana Npx 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 698 tokens, a 94% 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 52 catalogued Mcp Grafana Npx tools. Counts refresh with every site build.

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

A PolicyLayer grant scopes Mcp Grafana Npx 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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