Home / Token cost / Social Media Search API — Twitter, Instagram, Reddit, TikTok (XPOZ)

The Social Media Search API — Twitter, Instagram, Reddit, TikTok (XPOZ) MCP server costs 54,999 tokens before the first call.

Every request your agent makes carries every tool definition this server exposes — context your code, documents and conversation can't use, mostly for tools the agent never calls. You don't need them all in the window, and you don't have to pay for them.

QUICK ANSWER The Social Media Search API — Twitter, Instagram, Reddit, TikTok (XPOZ) MCP server's 52 tool definitions consume 54,999 tokens — 27% of a 200k context window, and 26× the median MCP server (2,142 tokens). A scoped grant exposing only the tools you use cuts that roughly in proportion.

MEASURED FROM SCHEMAS tiktoken o200k_base · rank #17 of 5,402 measured servers · refreshed every build Method →

What that costs 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 27%
1M WINDOW 5.5%

Corpus context: Social Media Search API — Twitter, Instagram, Reddit, TikTok (XPOZ) ranks #17 of 5,402 measured MCP servers by definition cost. The median is 2,142 tokens, p90 is 11,749, and the heaviest (Ainumbers Mcp Apps) is 161,750 — 81% of a 200k window on its own. New to this? See MCP token cost and context window in the glossary.

Where the 54,999 tokens go.

Each row is one tool definition as a tools/list entry — name, description and input schema — counted with o200k_base. Average: 1,058 tokens per tool.

ToolCategoryTokens% of server
getTwitterPostsByKeywords Read 1,931 3.5%
getTwitterUsersByKeywords Read 1,842 3.3%
getRedditUsersByKeywords Read 1,806 3.3%
getRedditPostsByKeywords Read 1,785 3.2%
getInstagramUsersByKeywords Read 1,744 3.2%
getRedditSubredditsByKeywords Read 1,606 2.9%
getTiktokUsersByKeywords Read 1,528 2.8%
getTwitterPostInteractingUsers Read 1,522 2.8%
getInstagramPostsByKeywords Read 1,471 2.7%
getTwitterPostsByAuthor Read 1,434 2.6%
getRedditCommentsByKeywords Read 1,421 2.6%
getTiktokPostsByHashtags Read 1,391 2.5%
getTiktokPostsByKeywords Read 1,390 2.5%
getInstagramCommentsByPostId Read 1,377 2.5%
getTiktokUsersByHashtags Read 1,370 2.5%
getTwitterUserConnections Read 1,370 2.5%
getTwitterPostQuotes Read 1,360 2.5%
getTwitterPostComments Read 1,359 2.5%
getRedditPostWithCommentsById Read 1,340 2.4%
getInstagramPostsByUser Read 1,332 2.4%
getInstagramPostInteractingUsers Read 1,327 2.4%
getTiktokPostsByUser Read 1,319 2.4%
getRedditSubredditWithPostsByName Read 1,256 2.3%
getInstagramUserConnections Read 1,249 2.3%
getTiktokPostsBySound Read 1,244 2.3%
getTwitterPostRetweets Read 1,224 2.2%
getTiktokCommentsByPostId Read 1,117 2.0%
getTwitterUsers Read 1,043 1.9%
getInstagramPostsByIds Read 987 1.8%
getTwitterPostsByIds Read 953 1.7%
getTwitterUser Read 952 1.7%
searchRedditUsers Read 867 1.6%
getRedditUser Read 862 1.6%
getInstagramUser Read 812 1.5%
getRedditCommentById Read 788 1.4%
searchRedditSubreddits Read 768 1.4%
getTiktokUser Read 766 1.4%
searchTwitterUsers Read 764 1.4%
getTiktokPostsByIds Read 759 1.4%
searchInstagramUsers Read 753 1.4%
countTweets Read 688 1.3%
searchTiktokUsers Read 657 1.2%
searchTiktokSounds Read 590 1.1%
checkOperationStatus Read 517 0.9%
removeTrackedItems Destructive 422 0.8%
addTrackedItems Write 420 0.8%
getCreditsUsageHistory Read 410 0.7%
getTrackedItems Read 235 0.4%
getAccountDetails Read 229 0.4%
getUserAccessKey Read 225 0.4%
cancelOperation Execute 223 0.4%
checkAccessKeyStatus Read 194 0.4%

Your agent uses a handful of these tools. It pays for all 52.

You don't need all 52 of those definitions in the window. PolicyLayer is an MCP gateway that sits in front of Social Media Search API — Twitter, Instagram, Reddit, TikTok (XPOZ): only the tools you grant are exposed to the agent, the rest never load. A smaller window means a sharper agent — less noise when it picks a tool — and every request costs less:

Grant scopeDefinition costReduction
All 52 tools (no gateway) 54,999 tokens
3 granted tools ~3,173 tokens −94%
5 granted tools ~5,288 tokens −90%
10 granted tools ~10,577 tokens −81%

The risk dividend: 1 of these 52 tools are critical-risk (destructive or financial) and cost 422 tokens (1% of the definition load). Block them — the recommended starter policy — and you reclaim that context before tuning anything else.

  1. Create a free account and register Social Media Search API — Twitter, Instagram, Reddit, TikTok (XPOZ) — nothing to install.
  2. Grant only the tools you use — ungranted definitions never enter the context window.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.

Social Media Search API — Twitter, Instagram, Reddit, TikTok (XPOZ) token-cost questions.

How many tokens does the Social Media Search API — Twitter, Instagram, Reddit, TikTok (XPOZ) MCP server use?+

Its 52 tool definitions total 54,999 tokens — 27% 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 Social Media Search API — Twitter, Instagram, Reddit, TikTok (XPOZ) 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 Social Media Search API — Twitter, Instagram, Reddit, TikTok (XPOZ)'s token usage?+

Expose fewer tools. A PolicyLayer grant scopes Social Media Search API — Twitter, Instagram, Reddit, TikTok (XPOZ) 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 3,173 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 23-07-2026 from the PolicyLayer scan database over all 52 catalogued Social Media Search API — Twitter, Instagram, Reddit, TikTok (XPOZ) tools. Counts refresh with every site build.

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

A PolicyLayer grant scopes Social Media Search API — Twitter, Instagram, Reddit, TikTok (XPOZ) to the tools you actually allow. Ungranted definitions never load, and every call that does run is checked against policy first.

Instant setup, no code required.

46,500+ MCP servers and 515,000+ tools scanned and risk-classified.

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