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The Flow Studio - Power Automate MCP Server MCP server costs 6,014 tokens before the first call.

Connect Flow Studio - Power Automate MCP Server and its 33 tool definitions are loaded into the model's context on every request — 3.0% of a 200k window spent before your agent does anything.

QUICK ANSWER The Flow Studio - Power Automate MCP Server MCP server's tool definitions consume 6,014 tokens — 3.2× the median MCP server (1,905 tokens). A scoped grant exposing only the tools you use cuts that roughly in proportion.

MEASURED FROM SCHEMAS 33 tools · 6,014 tokens · 3.0% of 200k · 0.6% 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 3.0%
1M WINDOW 0.6%

Corpus context: Flow Studio - Power Automate MCP Server ranks #963 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 6,014 tokens go.

Each row is one tool definition as a tools/list entry — name, description and input schema — counted with o200k_base. Average: 182 tokens per tool.

ToolCategoryTokens% of server
describe_live_connector Read 431 7.2%
get_live_dynamic_properties Read 410 6.8%
update_live_flow Write 381 6.3%
get_live_flow_run_action_outputs Read 324 5.4%
get_live_dynamic_options Read 313 5.2%
list_live_flows Read 310 5.2%
update_store_flow Write 302 5.0%
tool_search Read 252 4.2%
get_store_flow_runs Read 244 4.1%
list_live_connections Read 212 3.5%
trigger_live_flow Execute 188 3.1%
get_store_flow_errors Read 177 2.9%
set_live_flow_state Write 175 2.9%
get_store_flow_summary Read 172 2.9%
set_store_flow_state Write 164 2.7%
get_live_flow_http_schema Read 163 2.7%
list_store_flows Read 153 2.5%
get_live_flow_trigger_url Read 150 2.5%
get_live_flow_run_error Read 147 2.4%
add_live_flow_to_solution Write 144 2.4%
resubmit_live_flow_run Execute 132 2.2%
get_live_flow_runs Read 132 2.2%
get_store_flow_trigger_url Read 130 2.2%
cancel_live_flow_run Destructive 127 2.1%
get_live_flow Read 122 2.0%
get_store_flow Read 117 1.9%
list_skills Read 102 1.7%
get_store_maker Read 88 1.5%
list_live_environments Read 85 1.4%
list_store_makers Read 47 0.8%
list_store_power_apps Read 41 0.7%
list_store_environments Read 40 0.7%
list_store_connections Read 39 0.6%

Most agents use a handful of these tools. They pay for all 33.

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 (182 tokens each).

Grant scopeDefinition costReduction
All 33 tools (no gateway) 6,014 tokens
3 granted tools ~547 tokens −91%
5 granted tools ~911 tokens −85%
10 granted tools ~1,822 tokens −70%

Flow Studio - Power Automate MCP Server token-cost questions.

How many tokens does the Flow Studio - Power Automate MCP Server MCP server use?+

Its 33 tool definitions total 6,014 tokens — 3.0% 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 Flow Studio - Power Automate MCP Server 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 Flow Studio - Power Automate MCP Server's token usage?+

Expose fewer tools. A PolicyLayer grant scopes Flow Studio - Power Automate MCP Server 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 547 tokens, a 91% 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 33 catalogued Flow Studio - Power Automate MCP Server tools. Counts refresh with every site build.

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

A PolicyLayer grant scopes Flow Studio - Power Automate MCP Server 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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