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Nanotoll MCP

REMOTE · MCP.NANOTOLL.DEV

7 agent tools (prune, convert, estimate, diff, patch, generate, validate). USDC on Base L2.

Available components

0 this week 87 Trust /100

Last scanned (9 hours ago)

Scores higher than 95% of remote servers

Reachable. Last reached 23 Oct 2026.

Category Developer Tools

Trust breakdown (7 categories)

How this component scores in each security and reliability category. Every signal is checked automatically against the live server, and we only credit what we can confirm. How we score → Why this is hard to score →

Endpoint Security80
Transport & Reachability100
Schema Quality & AI Usability73
  • AI-judged instruction clarity (excellent).Pass
  • Context-footprint check failed: tool/resource definitions use about 1165 tokens (~145/item across 8 items; 8 tools + 0 resources), over budget; trim descriptions and params. See how to fix → Fail
  • Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management100
  • No destabilizing schema changes in the last 30 days.Pass
Tool Coverage100
  • 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
  • 100% of tool parameters carry a description.Pass
Tool Safety100
  • No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
  • We read all 8 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
  • An AI judge read all 9 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
  • Implements a current MCP spec version (2026-07-28).Pass
Changelog

Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.

  • 28 Sept 26 0
    • We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
  • 26 Sept 26 0
    • Stability: 0.97 → pass security
  • 25 Sept 26 +1
    • We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
  • 23 Sept 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 87 to 90. That category is still filling its 30-day observation window: 26 days of observed history at the previous scan, 27 at this one. The score rises as the window fills, whether or not the server changes.

  • 22 Sept 26 +3
    • MCP protocol: fail → pass ▲ functional
    • MCP protocol version: 2025-03-26 → 2026-07-28 functional
    • Server version: 0.3.2 → 3.4.0 functional
  • 1 Sept 26 0
    • The server rewrote its instructions, which are the text every model session reads security
    • Schema quality: 952 → 1165 ▼ functional
    • New tool “read” functional
    • “prune” reworded the description of “comment_prefix” cosmetic
  • 30 Aug 26 0
    • Tool “convert” rewrote its description, which is the text the model reads security
    • Tool “estimate” rewrote its description, which is the text the model reads security
  • 29 Aug 26 0
    • Authorization: unverified → partial ▲ security
    • The server rewrote its instructions, which are the text every model session reads security
    • Tool “convert” rewrote its description, which is the text the model reads security
    • Tool “diff” rewrote its description, which is the text the model reads security
    • Tool “estimate” rewrote its description, which is the text the model reads security
    • Tool “generate” rewrote its description, which is the text the model reads security
    • Tool “patch” rewrote its description, which is the text the model reads security
    • Tool “prune” rewrote its description, which is the text the model reads security
    • Tool “validate” rewrote its description, which is the text the model reads security
    • Schema quality: pass → fail ▼ functional
    • Tool coverage: 40% → 100% ▲ functional
    • Schema quality: good → excellent functional
    • “convert” reworded the description of “from_format” cosmetic
    • “convert” reworded the description of “to_format” cosmetic
    • “diff” reworded the description of “text_a” cosmetic
    • “diff” reworded the description of “text_b” cosmetic
    • “estimate” reworded the description of “input_tokens” cosmetic
    • “estimate” reworded the description of “output_tokens” cosmetic
    • “generate” reworded the description of “endpoints” cosmetic
    • “generate” reworded the description of “links” cosmetic
    • “generate” reworded the description of “name” cosmetic
    • “generate” reworded the description of “overview” cosmetic
    • “generate” reworded the description of “pricing” cosmetic
    • “generate” reworded the description of “tagline” cosmetic
    • “patch” reworded the description of “text” cosmetic
Diagnostics

Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.

Captured 23 Oct 2026 · Probed https://mcp.nanotoll.dev/mcp

TLS valid

Negotiated TLS 1.3 with TLS_AES_128_GCM_SHA256 .

Subject Issuer Valid from Valid until Key Signature Serial
CN=mcp.nanotoll.dev CN=YE1,O=Let's Encrypt,C=US 26 Aug 2026 24 Nov 2026 ECDSA 256 ECDSA-SHA384 5400299c166ad82813326e184b418d144cc
SANs: mcp.nanotoll.dev
CN=YE1,O=Let's Encrypt,C=US (CA) CN=Root YE,O=ISRG,C=US 3 Sept 2025 2 Sept 2028 ECDSA 384 ECDSA-SHA384 5ddd70dd31f801c85c186a7a04b80afe
CN=Root YE,O=ISRG,C=US (CA) CN=ISRG Root X2,O=Internet Security Research Group,C=US 13 May 2026 2 Sept 2032 ECDSA 384 ECDSA-SHA384 872165fc34b6e5fba8add5b3705fb53a
CN=ISRG Root X2,O=Internet Security Research Group,C=US (CA) CN=ISRG Root X1,O=Internet Security Research Group,C=US 13 May 2026 2 Sept 2032 ECDSA 384 SHA256-RSA 6c8f1dc727c7117f7baf853ac980f9cd

Background: What to check on a remote MCP endpoint →

DNSSEC insecure

Validation of mcp.nanotoll.dev. — Not signed

Zone DS Keys Algorithms Outcome
. trust_anchor 20326, 38696 8, 8 Verified
dev. present 60074 8 Verified
nanotoll.dev. absent Unsigned (proven) parent-signed NSEC/NSEC3 proves an unsigned delegation
Authentication No authorisation required

The endpoint answered without asking for a token. Anyone who knows the URL can reach it.

Result No authorisation required
HTTP status 200
Header Value
strict-transport-security max-age=31536000; includeSubDomains; preload
x-content-type-options nosniff
x-frame-options DENY
referrer-policy no-referrer

Background: How OAuth 2.1 works in the 2026 MCP spec →

Transports 2 probes
Transport URL Outcome Status Location
streamable-http https://mcp.nanotoll.dev/mcp Verified 200
http (plaintext) http://mcp.nanotoll.dev/mcp HTTPS enforced 308 https://mcp.nanotoll.dev/mcp
MCP tools · 8 exposed · ~1,106 tokens

The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →

Tool Tokens
convert ~137

Transform text between JSON, YAML, TOML, and CSV formats. Returns the converted text and input/output character metrics. Note some conversions can be lossy (e.g. JSON to CSV flattens nested structures). Requires a valid API key (Bearer token); billing is per input character — insufficient balance returns HTTP 402. For removing comments use `prune`, for generating llms.txt use `generate`.

NameTypeReqDescription
from_formatstringyesSource format of the input payload.
payloadstringyesText to convert (1 char min, 10 MiB max).
to_formatstringyesTarget format to convert into.

No output schema declared.

No examples provided.

diff ~96

Generate a unified diff between two text versions (the before and after). Returns the diff text plus metrics (lines added, lines removed, output chars). Requires a valid API key (Bearer token); billing is per combined input characters. To apply a diff, use `patch`.

NameTypeReqDescription
text_astringyesFirst text version (the "before" text).
text_bstringyesSecond text version (the "after" text).

No output schema declared.

No examples provided.

estimate ~151

Estimate the USD cost of an LLM API call using the CWEP four-flow model (request generation, request processing, response generation, response reception). Returns a JSON object with the per-flow cost breakdown, the total, and the pricing source date. Unknown model names return HTTP 422 — check GET /api/v1/pricing on costa.nanotoll.dev for the supported list (no auth needed). Requires a valid API key (Bearer token); billing is per input character.

NameTypeReqDescription
input_tokensintegeryesNumber of input (prompt) tokens.
modelstringyesModel name (e.g. gpt-4o).
output_tokensintegeryesNumber of output (completion) tokens.

No output schema declared.

No examples provided.

generate ~222

Generate an llms.txt agent-discovery file from structured service metadata (name, endpoints, overview, links, pricing). Returns the llms.txt content and output metrics. Requires a valid API key (Bearer token); billing is per input character. To check an existing llms.txt for spec compliance, use `validate`.

NameTypeReqDescription
endpointsarrayyesAPI endpoints to list in the llms.txt. Each item has method, path, and description.
linksarray–Optional related links (docs, source, etc.). Each item has title and url.
namestringyesService name (H1 title of the llms.txt file).
overviewarray–Paragraphs of prose describing the service. Each array element becomes a paragraph in the llms.txt Overview section.
pricingstring|null–Pricing summary string (e.g. "$0.0002 per call"). Pass null to omit.
taglinestring|null–One-line summary of the service, shown as a subtitle below the H1. Pass null to omit.

No output schema declared.

No examples provided.

patch ~75

Apply a unified diff patch to text, producing the transformed output. Returns the patched text. Requires a valid API key (Bearer token); billing is per combined input characters. To generate a diff, use `diff`.

NameTypeReqDescription
patchstringyesUnified diff patch text.
textstringyesOriginal text to apply the patch to.

No output schema declared.

No examples provided.

prune ~175

Strip comments and empty lines from text to reduce token count before sending to an LLM. Returns the pruned text and character metrics. Requires a valid API key (Bearer token); billing is per input character — insufficient balance returns HTTP 402. For format conversion use `convert`, for generating llms.txt use `generate`.

NameTypeReqDescription
comment_prefixstring–Optional. Explicit comment-line prefix to strip outside code fences (e.g. '//' for C-style code). Omit for format-aware pruning: markdown '#' headings are preserved (v101 #12 note), no line stripping…
payloadstringyesText to prune (1 char min, 10 MiB max).
remove_empty_linesboolean–If true, empty lines outside code fences are removed.

No output schema declared.

No examples provided.

read ~169

Fetch a web page and return clean GitHub-flavored markdown at a strict token budget. DOM-density scoring strips boilerplate (CSS, JS, navbars, tracking) — raw HTML averages 80-95% noise. Requires a valid API key (Bearer token); billing is $0.0005 flat per read — insufficient balance returns HTTP 402. Fetch failures return HTTP 422 and are refunded.

NameTypeReqDescription
include_linksboolean–If true, hyperlinks are kept as markdown links.
max_tokensinteger–Optional token budget — markdown is truncated to this many estimated tokens. Omit for full page.
preserve_tablesboolean–If true, HTML tables are preserved as GFM tables.
urlstringyesURL of the web page to fetch and convert to markdown.

No output schema declared.

No examples provided.

validate ~81

Validate an llms.txt payload for spec compliance (H1 title, endpoints section, pricing section, structure). Returns a validation report with errors, warnings, and structural flags. Requires a valid API key (Bearer token); billing is per input character. To generate new llms.txt, use `generate`.

NameTypeReqDescription
contentstringyesllms.txt content to validate.

No output schema declared.

No examples provided.

Install

How do I install the Nanotoll MCP server?

Nanotoll MCP is a hosted endpoint at https://mcp.nanotoll.dev/mcp, so there is nothing to install locally. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.

remote · mcp.nanotoll.dev

# add to Claude Code
claude mcp add --transport http dev-nanotoll-nanotoll-mcp 'https://mcp.nanotoll.dev/mcp'
Common questions

What is the Nanotoll MCP server?

Nanotoll MCP is listed in the public MCP registry as dev.nanotoll/nanotoll-mcp. 7 agent tools (prune, convert, estimate, diff, patch, generate, validate). USDC on Base L2. This page covers its hosted endpoint (https://mcp.nanotoll.dev/mcp).

Is the Nanotoll MCP server safe to use?

Nanotoll MCP scores 87 out of 100 on VerifyMCP. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.

What tools does the Nanotoll MCP server expose?

Nanotoll MCP exposes 8 tools: prune, convert, estimate, diff, patch, and 3 more. Their descriptions and schemas cost roughly 1,106 tokens of context every time the server is loaded.

Does the Nanotoll MCP server require authentication?

No. We connected to Nanotoll MCP without credentials and it answered, so anything it exposes is reachable by anyone who knows the address.

Is the Nanotoll MCP server still maintained?

Nanotoll MCP is still listed as active in the MCP registry. We last reached this channel on 23 October 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.