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The Flowforge MCP server costs 9,749 tokens before the first call.

Connect Flowforge and its 49 tool definitions are loaded into the model's context on every request — 4.9% of a 200k window spent before your agent does anything.

QUICK ANSWER The Flowforge MCP server's tool definitions consume 9,749 tokens — 5.1× the median MCP server (1,905 tokens). A scoped grant exposing only the tools you use cuts that roughly in proportion.

MEASURED FROM SCHEMAS 49 tools · 9,749 tokens · 4.9% of 200k · 1.0% 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 4.9%
1M WINDOW 1.0%

Corpus context: Flowforge ranks #175 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 9,749 tokens go.

Each row is one tool definition as a tools/list entry — name, description and input schema — counted with o200k_base. Average: 199 tokens per tool.

ToolCategoryTokens% of server
flowforge_create_inline_function Write 679 7.0%
flowforge_create_tool Write 530 5.4%
flowforge_update_function Write 504 5.2%
flowforge_update_tool Write 398 4.1%
flowforge_create_function Write 329 3.4%
flowforge_create_task Write 311 3.2%
flowforge_import_skill Write 286 2.9%
flowforge_update_task Write 270 2.8%
flowforge_list_tasks Read 256 2.6%
flowforge_create_credential Write 251 2.6%
flowforge_update_agent Write 229 2.3%
flowforge_add_comment Write 228 2.3%
flowforge_create_agent Write 209 2.1%
flowforge_list_runs Read 206 2.1%
flowforge_send_event Write 204 2.1%
flowforge_list_approvals Read 203 2.1%
flowforge_list_skills Read 188 1.9%
flowforge_list_functions Read 183 1.9%
flowforge_list_tools Read 175 1.8%
flowforge_set_function_skills Write 172 1.8%
flowforge_list_comments Read 171 1.8%
flowforge_approve_tool_call Write 163 1.7%
flowforge_set_agent_skills Write 163 1.7%
flowforge_list_agents Read 162 1.7%
flowforge_reject_tool_call Destructive 157 1.6%
flowforge_retry_run Execute 157 1.6%
flowforge_list_notifications Read 157 1.6%
flowforge_preview_skill Write 156 1.6%
flowforge_replay_run Execute 146 1.5%
flowforge_get_task_board Read 145 1.5%
flowforge_list_events Read 143 1.5%
flowforge_delete_tool Destructive 142 1.5%
flowforge_search_marketplace Read 142 1.5%
flowforge_delete_function Destructive 133 1.4%
flowforge_get_run Read 133 1.4%
flowforge_get_task Read 131 1.3%
flowforge_delete_credential Destructive 129 1.3%
flowforge_cancel_run Destructive 128 1.3%
flowforge_get_function Read 128 1.3%
flowforge_get_run_steps Read 127 1.3%
flowforge_get_event Read 126 1.3%
flowforge_get_tool Read 119 1.2%
flowforge_mark_notifications_read Write 116 1.2%
flowforge_delete_task Destructive 115 1.2%
flowforge_get_run_tool_calls Read 115 1.2%
flowforge_get_stats Read 115 1.2%
flowforge_get_agent Read 109 1.1%
flowforge_health_check Read 108 1.1%
flowforge_list_credentials Read 102 1.0%

Most agents use a handful of these tools. They pay for all 49.

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 (199 tokens each).

Grant scopeDefinition costReduction
All 49 tools (no gateway) 9,749 tokens
3 granted tools ~597 tokens −94%
5 granted tools ~995 tokens −90%
10 granted tools ~1,990 tokens −80%

Flowforge token-cost questions.

How many tokens does the Flowforge MCP server use?+

Its 49 tool definitions total 9,749 tokens — 4.9% 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 Flowforge 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 Flowforge's token usage?+

Expose fewer tools. A PolicyLayer grant scopes Flowforge 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 597 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 49 catalogued Flowforge tools. Counts refresh with every site build.

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

A PolicyLayer grant scopes Flowforge 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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