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The SourceSync Ai MCP Server MCP server costs 5,136 tokens before the first call.

Connect SourceSync Ai MCP Server and its 25 tool definitions are loaded into the model's context on every request — 2.6% of a 200k window spent before your agent does anything.

QUICK ANSWER The SourceSync Ai MCP Server MCP server's tool definitions consume 5,136 tokens — 2.7× the median MCP server (1,905 tokens). A scoped grant exposing only the tools you use cuts that roughly in proportion.

MEASURED FROM SCHEMAS 25 tools · 5,136 tokens · 2.6% 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 2.6%
1M WINDOW 0.5%

Corpus context: SourceSync Ai MCP Server ranks #1017 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 5,136 tokens go.

Each row is one tool definition as a tools/list entry — name, description and input schema — counted with o200k_base. Average: 205 tokens per tool.

ToolCategoryTokens% of server
updateNamespace Write 770 15.0%
createNamespace Write 535 10.4%
updateDocuments Write 433 8.4%
fetchDocuments Read 384 7.5%
resyncDocuments Read 291 5.7%
deleteDocuments Destructive 284 5.5%
ingestUrls Read 248 4.8%
ingestConnector Read 246 4.8%
ingestWebsite Read 244 4.8%
ingestSitemap Read 238 4.6%
ingestText Read 204 4.0%
hybridSearch Read 186 3.6%
updateConnection Write 167 3.3%
createConnection Write 154 3.0%
ingestFile Read 141 2.7%
semanticSearch Read 138 2.7%
listConnections Read 79 1.5%
fetchUrlContent Read 62 1.2%
revokeConnection Destructive 58 1.1%
getIngestJobRunStatus Read 58 1.1%
getConnection Read 52 1.0%
deleteNamespace Destructive 43 0.8%
getNamespace Read 42 0.8%
validateApiKey Read 40 0.8%
listNamespaces Read 39 0.8%

Most agents use a handful of these tools. They pay for all 25.

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 (205 tokens each).

Grant scopeDefinition costReduction
All 25 tools (no gateway) 5,136 tokens
3 granted tools ~616 tokens −88%
5 granted tools ~1,027 tokens −80%
10 granted tools ~2,054 tokens −60%

SourceSync Ai MCP Server token-cost questions.

How many tokens does the SourceSync Ai MCP Server MCP server use?+

Its 25 tool definitions total 5,136 tokens — 2.6% 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 SourceSync Ai 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 SourceSync Ai MCP Server's token usage?+

Expose fewer tools. A PolicyLayer grant scopes SourceSync Ai 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 616 tokens, a 88% 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 25 catalogued SourceSync Ai 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 SourceSync Ai 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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