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The Graph Polymarket MCP server costs 4,079 tokens before the first call.

Connect Graph Polymarket and its 31 tool definitions are loaded into the model's context on every request — 2.0% of a 200k window spent before your agent does anything.

QUICK ANSWER The Graph Polymarket MCP server's tool definitions consume 4,079 tokens — 2.1× the median MCP server (1,905 tokens). A scoped grant exposing only the tools you use cuts that roughly in proportion.

MEASURED FROM SCHEMAS 31 tools · 4,079 tokens · 2.0% of 200k · 0.4% 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 2.0%
1M WINDOW 0.4%

Corpus context: Graph Polymarket ranks #1135 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 4,079 tokens go.

Each row is one tool definition as a tools/list entry — name, description and input schema — counted with o200k_base. Average: 132 tokens per tool.

ToolCategoryTokens% of server
search_markets Read 265 6.5%
list_polymarket_events Read 217 5.3%
get_market_resolution Read 195 4.8%
get_market_positions Read 192 4.7%
search_markets_enriched Read 186 4.6%
get_price_history Read 184 4.5%
get_top_traders Read 174 4.3%
get_live_prices Read 171 4.2%
get_market_open_interest Read 171 4.2%
get_oi_history Read 170 4.2%
query_subgraph Read 159 3.9%
get_trader_usdc_flows Read 151 3.7%
get_market_info Read 148 3.6%
get_clob_market Read 138 3.4%
get_market_data Read 131 3.2%
get_subgraph_schema Read 125 3.1%
get_trader_profile Read 124 3.0%
get_orderbook_trades Read 112 2.7%
get_market_revisions Read 109 2.7%
get_daily_stats Read 107 2.6%
get_disputed_markets Read 101 2.5%
get_recent_activity Read 97 2.4%
get_live_orderbook Read 95 2.3%
get_live_spread Read 95 2.3%
get_user_positions Read 86 2.1%
get_polymarket_event Read 84 2.1%
get_account_pnl Read 83 2.0%
get_last_trade Read 76 1.9%
get_global_stats Read 53 1.3%
get_global_open_interest Read 45 1.1%
list_subgraphs Read 35 0.9%

Most agents use a handful of these tools. They pay for all 31.

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 (132 tokens each).

Grant scopeDefinition costReduction
All 31 tools (no gateway) 4,079 tokens
3 granted tools ~395 tokens −90%
5 granted tools ~658 tokens −84%
10 granted tools ~1,316 tokens −68%

Graph Polymarket token-cost questions.

How many tokens does the Graph Polymarket MCP server use?+

Its 31 tool definitions total 4,079 tokens — 2.0% 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 Graph Polymarket 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 Graph Polymarket's token usage?+

Expose fewer tools. A PolicyLayer grant scopes Graph Polymarket 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 395 tokens, a 90% 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 31 catalogued Graph Polymarket tools. Counts refresh with every site build.

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

A PolicyLayer grant scopes Graph Polymarket 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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4,600+ MCP servers and 31,000+ tools scanned and risk-classified.

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