toolsnap-mcp-2
Context-efficient microtools for AI agents. 33 tools total. Flagship fetch_extract: 98.1% median token reduction (53,820 → 2,001 tokens) — saves ~$0.156/call at Sonnet pricing vs loading raw HTML. Paid tools: web extraction, full-page screenshots, background removal (fal.ai rembg), keyword research
- Score
- 35.9181 signal
- Evidence
- 2,080 installs
- Last commit
- Not known
- Listed
Install
No one-command install. Set it up from its source.
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What it is
Context-efficient microtools for AI agents. 33 tools total. Flagship fetch_extract: 98.1% median token reduction (53,820 → 2,001 tokens) — saves ~$0.156/call at Sonnet pricing vs loading raw HTML. Paid tools: web extraction, full-page screenshots, background removal (fal.ai rembg), keyword research
When to use it
Context-efficient microtools for AI agents. 33 tools total. Flagship fetch_extract: 98.1% median token reduction (53,820 → 2,001 tokens) — saves ~$0.156/call at Sonnet pricing vs loading raw HTML. Paid tools: web extraction, full-page screenshots, background removal (fal.ai rembg), keyword research
How to install / invoke
See Smithery for the install config.
Notes
Listed from the Smithery MCP registry.