nanotoll
not read yet
Use
- For
- Developers building LLM agents who want to compress context on each call and verify the result.
- Runs as
- API
- Used for
- strip comments and prune JSON before model calls
- shrink long agent context with extractive token pruning
- check compression fidelity through per-call signed receipts
- Has an MCP server (1 in the registry)public registry →
- MCP serverdev.nanotoll/nanotoll-mcpverified in the MCP registry
- Stateanswers, 1 toolschecked 2026-10-26
- Address to connectmcp.nanotoll.dev/mcp
This card as JSON, for your agent →
Each line is something a program found when it went looking: the registry entry, the server's own answer, a spec that parses. A missing line means we did not find it, not that it does not exist.
Figure and bar: visits/mo, estimate · year: online since
- #1
You.com
Returns live web search results and cleaned page content through APIs that AI agents and LLM apps call for grounding.
13.6k2020 - #2
uxspot MCP Server
Provides UX reference materials and accessibility checks to AI assistants via Model Context Protocol integration.
329ActiveFree2021 - #3
claude-devtools
Displays detailed session logs from Claude including tool calls, thinking steps, token usage, and file changes hidden from the terminal.
201MaintainedOpen source - #4
Maha StrategiesMCP · open
Governs AI agent tool calls with inherited policy, approvals and replay-safe recovery, and compiles sourced context with evidence trails.
110ActiveFrom $49 once - #5
AI Email API & Infrastructure for AI AgentsMCP · sign-in
Gives an agent its own email address, sending and receiving mail through an API, with replies scored for prompt injection.
105ActiveFrom $20/mo - #6
PickrateMCP · open
Measures which AI agents read a site's pages, which tools they pick, and which agent visits convert into signups or revenue.
81ActiveFrom $49/mo
Not it? Say what you need
betaThree tools from the Atlas for the job you describe, each with what fits and what does not.
No notes yet. What do you use nanotoll for?
Sign in to leave a noteWhat is nanotoll?
Compresses LLM agent context via deterministic pruning, extractive token selection, or NLI-verified squeezing, billed per call. It is listed in the Atlas under Agents.
Who is nanotoll for?
Developers building LLM agents who want to compress context on each call and verify the result.
Do people use nanotoll?
Little sign of use.
What are alternatives to nanotoll?
In Agents, by use: You.com, uxspot MCP Server, claude-devtools, Maha Strategies, AI Email API & Infrastructure for AI Agents, Pickrate.
How we read a tool
No votes, no reviews, no vendor claims. Every week a crawler reads each tool's own site and a few public registries, and the words on the card are bands over what it read.
- Use: visits to the site (estimated), installs from npm and PyPI, presence in Chrome's usage report.
- Activity: the newest release on GitHub, npm or PyPI; the newest dated page on the site; open roles on a public jobs board.
- Price: the vendor's own pricing page, read with the date. A figure is printed only when it is on that page.
- The line and the use cases are written by us from the homepage, one tool at a time, and refused when they repeat the vendor's marketing.
How AI assistants read each site — the reading vendors ask us about — is on each tool's own visibility page.
How we read every tool → · By INITE Atlas Desk
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