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The Botoi MCP server costs 4,850 tokens before the first call.

Connect Botoi and its 49 tool definitions are loaded into the model's context on every request — 2.4% of a 200k window spent before your agent does anything.

QUICK ANSWER The Botoi Mcp MCP server's tool definitions consume 4,850 tokens — 2.5× 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 · 4,850 tokens · 2.4% of 200k · 0.5% 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 2.4%
1M WINDOW 0.5%

Corpus context: Botoi ranks #1041 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 4,850 tokens go.

Each row is one tool definition as a tools/list entry — name, description and input schema — counted with o200k_base. Average: 99 tokens per tool.

ToolCategoryTokens% of server
dev_password_generate Write 194 4.0%
transform_code_format Execute 136 2.8%
dev_timestamp_convert Write 136 2.8%
lookup_dns Read 130 2.7%
text_markdown_to_html Read 130 2.7%
transform_json_to_typescript Execute 127 2.6%
text_csv_to_json Read 124 2.6%
dev_hash Read 122 2.5%
lookup_dns_monitor Read 120 2.5%
text_base64_decode Read 116 2.4%
dev_url_decode Read 113 2.3%
text_base64_encode Read 113 2.3%
dev_jwt_sign Write 112 2.3%
security_totp_generate Write 112 2.3%
dev_regex_test Read 111 2.3%
transform_sql_format Execute 110 2.3%
dev_url_encode Read 109 2.2%
text_json_format Read 107 2.2%
text_json_to_yaml Read 101 2.1%
dev_diff Read 99 2.0%
lookup_ip Read 99 2.0%
lookup_address_validate Read 97 2.0%
lookup_domain_availability Read 97 2.0%
lookup_accessibility Read 96 2.0%
lookup_vpn_detect Read 94 1.9%
lookup_tech_detect Read 92 1.9%
lookup_phone Read 91 1.9%
security_decrypt Read 91 1.9%
lookup_ssl_cert_expiry Read 90 1.9%
security_encrypt Read 89 1.8%
dev_semver_parse Execute 88 1.8%
lookup_company Read 87 1.8%
lookup_breach_check Read 86 1.8%
text_yaml_to_json Read 86 1.8%
transform_minify_js Execute 85 1.8%
lookup_email Read 85 1.8%
lookup_url_metadata Read 85 1.8%
text_xml_to_json Read 85 1.8%
transform_minify_css Execute 84 1.7%
lookup_whois Read 83 1.7%
text_html_to_markdown Read 83 1.7%
security_pii_detect Read 76 1.6%
lookup_ssl Read 75 1.5%
security_validate_credit_card Read 73 1.5%
dev_jwt_verify Read 70 1.4%
dev_cron_describe Read 69 1.4%
text_json_validate Read 69 1.4%
dev_uuid Read 67 1.4%
lookup_headers Read 56 1.2%

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 (99 tokens each).

Grant scopeDefinition costReduction
All 49 tools (no gateway) 4,850 tokens
3 granted tools ~297 tokens −94%
5 granted tools ~495 tokens −90%
10 granted tools ~990 tokens −80%

Botoi Mcp token-cost questions.

How many tokens does the Botoi MCP server use?+

Its 49 tool definitions total 4,850 tokens — 2.4% 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 Botoi Mcp 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 Botoi Mcp's token usage?+

Expose fewer tools. A PolicyLayer grant scopes Botoi Mcp 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 297 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 Botoi Mcp tools. Counts refresh with every site build.

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

A PolicyLayer grant scopes Botoi Mcp 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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