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The Threadline MCP server costs 1,817 tokens before the first call.

Connect Threadline and its 15 tool definitions are loaded into the model's context on every request — 0.9% of a 200k window spent before your agent does anything.

QUICK ANSWER The Threadline MCP server's tool definitions consume 1,817 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 15 tools · 1,817 tokens · 0.9% 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 0.9%
1M WINDOW 0.2%

Corpus context: Threadline ranks #1652 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 1,817 tokens go.

Each row is one tool definition as a tools/list entry — name, description and input schema — counted with o200k_base. Average: 121 tokens per tool.

ToolCategoryTokens% of server
threadline_notes_set Write 206 11.3%
threadline_registry_search Read 197 10.8%
threadline_send Write 190 10.5%
threadline_registry_update Write 176 9.7%
threadline_discover Read 145 8.0%
threadline_profile_set Write 139 7.6%
threadline_forget Destructive 127 7.0%
threadline_history Read 110 6.1%
threadline_registry_get Read 96 5.3%
threadline_contacts Read 88 4.8%
threadline_notes_view Read 85 4.7%
threadline_registry_status Read 77 4.2%
threadline_inbox Read 69 3.8%
threadline_profile_view Read 61 3.4%
threadline_status Read 51 2.8%

Most agents use a handful of these tools. They pay for all 15.

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 (121 tokens each).

Grant scopeDefinition costReduction
All 15 tools (no gateway) 1,817 tokens
3 granted tools ~363 tokens −80%
5 granted tools ~606 tokens −67%
10 granted tools ~1,211 tokens −33%

Threadline token-cost questions.

How many tokens does the Threadline MCP server use?+

Its 15 tool definitions total 1,817 tokens — 0.9% 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 Threadline 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 Threadline's token usage?+

Expose fewer tools. A PolicyLayer grant scopes Threadline 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 363 tokens, a 80% 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 15 catalogued Threadline tools. Counts refresh with every site build.

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

A PolicyLayer grant scopes Threadline 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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