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The Frappe Dev MCP Server MCP server costs 2,436 tokens before the first call.

Connect Frappe Dev MCP Server and its 29 tool definitions are loaded into the model's context on every request — 1.2% of a 200k window spent before your agent does anything.

QUICK ANSWER The Frappe Dev MCP Server MCP server's tool definitions consume 2,436 tokens — around the median MCP server (1,905 tokens). A scoped grant exposing only the tools you use cuts that roughly in proportion.

MEASURED FROM SCHEMAS 29 tools · 2,436 tokens · 1.2% of 200k · 0.2% 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 1.2%
1M WINDOW 0.2%

Corpus context: Frappe Dev MCP Server ranks #1440 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 2,436 tokens go.

Each row is one tool definition as a tools/list entry — name, description and input schema — counted with o200k_base. Average: 84 tokens per tool.

ToolCategoryTokens% of server
frappe_create_doctype Write 247 10.1%
frappe_call_method Execute 124 5.1%
frappe_create_ui_block Write 117 4.8%
frappe_create_api_endpoint Write 115 4.7%
frappe_get_financial_statements Read 113 4.6%
frappe_generate_frappe_ui_component Write 111 4.6%
frappe_list_documents Read 94 3.9%
frappe_update_document Write 92 3.8%
frappe_create_app Write 91 3.7%
frappe_generate_vue_page Write 86 3.5%
frappe_get_document Read 81 3.3%
frappe_inspire_ui_block Read 81 3.3%
frappe_get_field_options Read 80 3.3%
frappe_run_bench_command Execute 79 3.2%
frappe_create_document Write 79 3.2%
frappe_run_doctype_report Execute 78 3.2%
frappe_delete_document Destructive 76 3.1%
frappe_run_query_report Execute 76 3.1%
frappe_refine_ui_block Read 70 2.9%
frappe_get_doctype_schema Read 69 2.8%
frappe_install_app Write 66 2.7%
frappe_get_report_meta Read 64 2.6%
frappe_get_app_structure Read 54 2.2%
frappe_get_ui_templates Read 54 2.2%
frappe_get_frappe_usage_info Read 52 2.1%
frappe_get_vue_component_tree Read 49 2.0%
frappe_migrate_database Write 48 2.0%
frappe_get_doctype_list Read 47 1.9%
frappe_list_reports Read 43 1.8%

Most agents use a handful of these tools. They pay for all 29.

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 (84 tokens each).

Grant scopeDefinition costReduction
All 29 tools (no gateway) 2,436 tokens
3 granted tools ~252 tokens −90%
5 granted tools ~420 tokens −83%
10 granted tools ~840 tokens −66%

Frappe Dev MCP Server token-cost questions.

How many tokens does the Frappe Dev MCP Server MCP server use?+

Its 29 tool definitions total 2,436 tokens — 1.2% 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 Frappe Dev 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 Frappe Dev MCP Server's token usage?+

Expose fewer tools. A PolicyLayer grant scopes Frappe Dev 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 252 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 29 catalogued Frappe Dev 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 Frappe Dev 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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4,600+ MCP servers and 31,000+ tools scanned and risk-classified.

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