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The GribStream MCP server costs 8,304 tokens before the first call.

Every request your agent makes carries every tool definition this server exposes — context your code, documents and conversation can't use, mostly for tools the agent never calls. You don't need them all in the window, and you don't have to pay for them.

QUICK ANSWER The GribStream MCP MCP server's 12 tool definitions consume 8,304 tokens — 4.2% of a 200k context window, and 4.4× the median MCP server (1,879 tokens). A scoped grant exposing only the tools you use cuts that roughly in proportion.

MEASURED FROM SCHEMAS tiktoken o200k_base · rank #1978 of 9,299 measured servers · refreshed every build Method →

What that costs 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 4.2%
1M WINDOW 0.8%

Corpus context: GribStream ranks #1978 of 9,299 measured MCP servers by definition cost. The median is 1,879 tokens, p90 is 13,073, and the heaviest (Ainumbers Mcp Apps) is 342,008 — 171% of a 200k window on its own. New to this? See MCP token cost and context window in the glossary.

Where the 8,304 tokens go.

Each row is one tool definition as a tools/list entry — name, description and input schema — counted with o200k_base. Average: 692 tokens per tool.

ToolCategoryTokens% of server
gribstream_query_timeseries Read 1,805 21.7%
gribstream_query_runs Read 1,759 21.2%
gribstream_build_timeseries_request Execute 1,342 16.2%
gribstream_build_runs_request Execute 1,291 15.5%
gribstream_validate_request Read 1,190 14.3%
gribstream_list_datasets Read 220 2.6%
gribstream_resolve_shared_parameter Read 162 2.0%
gribstream_list_shared_parameters Read 133 1.6%
gribstream_get_parameter Read 123 1.5%
gribstream_get_dataset Read 106 1.3%
gribstream_list_parameters Read 88 1.1%
gribstream_get_expression_reference Read 85 1.0%

Your agent uses a handful of these tools. It pays for all 12.

You don't need all 12 of those definitions in the window. PolicyLayer is an MCP gateway that sits in front of GribStream MCP: only the tools you grant are exposed to the agent, the rest never load. A smaller window means a sharper agent — less noise when it picks a tool — and every request costs less:

Grant scopeDefinition costReduction
All 12 tools (no gateway) 8,304 tokens
3 granted tools ~2,076 tokens −75%
5 granted tools ~3,460 tokens −58%
10 granted tools ~6,920 tokens −17%
  1. Create a free account and register GribStream MCP — nothing to install.
  2. Grant only the tools you use — ungranted definitions never enter the context window.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
CUT GRIBSTREAM TOKEN COST →

Instant setup, no code required.

GribStream MCP token-cost questions.

How many tokens does the GribStream MCP server use?+

Its 12 tool definitions total 8,304 tokens — 4.2% 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 GribStream MCP 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 GribStream MCP's token usage?+

Expose fewer tools. A PolicyLayer grant scopes GribStream MCP 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 2,076 tokens, a 75% 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 20-09-2026 from the PolicyLayer scan database over all 12 catalogued GribStream MCP tools. Counts refresh with every site build.

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

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

Instant setup, no code required.

46,500+ MCP servers and 515,000+ tools scanned and risk-classified.

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