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The Gitsim Chat MCP server costs 1,335 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 Gitsim Chat MCP server's 9 tool definitions consume 1,335 tokens — 0.7% of a 200k context window, and below 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 #5559 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 0.7%
1M WINDOW 0.1%

Corpus context: Gitsim Chat ranks #5559 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 1,335 tokens go.

Each row is one tool definition as a tools/list entry — name, description and input schema — counted with o200k_base. Average: 148 tokens per tool.

ToolCategoryTokens% of server
search_packages Read 575 43.1%
create_order Financial 140 10.5%
buy_topup Financial 122 9.1%
search_topup_packages Read 107 8.0%
check_data_balance Read 101 7.6%
check_order_status Read 76 5.7%
list_esims Read 75 5.6%
get_package Read 71 5.3%
get_business_context Read 68 5.1%

Your agent uses a handful of these tools. It pays for all 9.

You don't need all 9 of those definitions in the window. PolicyLayer is an MCP gateway that sits in front of Gitsim Chat: 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 9 tools (no gateway) 1,335 tokens
3 granted tools ~445 tokens −67%
5 granted tools ~742 tokens −44%

The risk dividend: 2 of these 9 tools are critical-risk (destructive or financial) and cost 262 tokens (20% of the definition load). Block them — the recommended starter policy — and you reclaim that context before tuning anything else.

  1. Create a free account and register Gitsim Chat — 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 GITSIM CHAT TOKEN COST →

Instant setup, no code required.

Gitsim Chat token-cost questions.

How many tokens does the Gitsim Chat MCP server use?+

Its 9 tool definitions total 1,335 tokens — 0.7% 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 Gitsim Chat 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 Gitsim Chat's token usage?+

Expose fewer tools. A PolicyLayer grant scopes Gitsim Chat 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 445 tokens, a 67% 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 9 catalogued Gitsim Chat tools. Counts refresh with every site build.

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

A PolicyLayer grant scopes Gitsim Chat 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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