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The Codeloop MCP server costs 8,750 tokens before the first call.

Connect Codeloop and its 29 tool definitions are loaded into the model's context on every request — 4.4% of a 200k window spent before your agent does anything.

QUICK ANSWER The Codeloop MCP server's tool definitions consume 8,750 tokens — 4.6× 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 · 8,750 tokens · 4.4% of 200k · 0.9% 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 4.4%
1M WINDOW 0.9%

Corpus context: Codeloop ranks #207 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 8,750 tokens go.

Each row is one tool definition as a tools/list entry — name, description and input schema — counted with o200k_base. Average: 302 tokens per tool.

ToolCategoryTokens% of server
codeloop_interact Execute 1,376 15.7%
codeloop_start_recording Execute 640 7.3%
codeloop_design_compare Execute 569 6.5%
codeloop_gate_check Read 425 4.9%
codeloop_generate_dev_report Write 391 4.5%
codeloop_interaction_replay Read 376 4.3%
codeloop_verify Read 327 3.7%
codeloop_init_project Write 323 3.7%
codeloop_capture_screenshot Read 282 3.2%
codeloop_check_workflow Read 282 3.2%
codeloop_get_prompt Read 274 3.1%
codeloop_discover_screens Read 259 3.0%
codeloop_record_interaction Execute 255 2.9%
codeloop_visual_review Execute 253 2.9%
codeloop_diagnose Execute 215 2.5%
codeloop_recommend_tool Read 203 2.3%
codeloop_list_env_presets Read 200 2.3%
codeloop_run_history Execute 193 2.2%
codeloop_stop_recording Execute 193 2.2%
codeloop_flush_usage Read 190 2.2%
codeloop_update_baseline Write 182 2.1%
codeloop_integration_check Read 181 2.1%
codeloop_replan Write 179 2.0%
codeloop_recommend_action Read 177 2.0%
codeloop_release_readiness Read 172 2.0%
codeloop_section_status Read 168 1.9%
codeloop_generate_spec Write 168 1.9%
codeloop_visual_attribution Read 160 1.8%
codeloop_list_prompts Read 137 1.6%

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 (302 tokens each).

Grant scopeDefinition costReduction
All 29 tools (no gateway) 8,750 tokens
3 granted tools ~905 tokens −90%
5 granted tools ~1,509 tokens −83%
10 granted tools ~3,017 tokens −66%

Codeloop token-cost questions.

How many tokens does the Codeloop MCP server use?+

Its 29 tool definitions total 8,750 tokens — 4.4% 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 Codeloop 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 Codeloop's token usage?+

Expose fewer tools. A PolicyLayer grant scopes Codeloop 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 905 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 Codeloop tools. Counts refresh with every site build.

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

A PolicyLayer grant scopes Codeloop 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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