Nanotoll MCP

7 agent tools (prune, convert, estimate, diff, patch, generate, validate).

CommunityOnlineAPI key requiredGlobalFreeRead-only

What it can do

    What data it sees

    Do you need an account

    An API key from the service settings is required

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

    How to connect

    How to connect Nanotoll MCP to Claude

    The server address to paste into Claude settings:

    https://mcp.nanotoll.dev/mcp

    1. Open Claude (claude.ai or the desktop app).
    2. Go to Settings → Connectors.
    3. Click Add custom connector.
    4. Paste the server address copied below into Remote MCP server URL and click Add.
    5. In a chat, click + → Connectors and switch the new connector on.

    Custom connectors are available on Free, Pro, Max, Team and Enterprise plans (Free is limited to one). On Team and Enterprise an organization Owner adds the connector first under Organization settings → Connectors.

    Authorization

    After you click Add, a sign-in window for the service opens. Sign in with your own account and approve access. Claude never sees your password.

    How to connect Nanotoll MCP to ChatGPT

    The server address to paste into ChatGPT settings:

    https://mcp.nanotoll.dev/mcp

    1. Open ChatGPT in a browser (chatgpt.com). A Plus, Pro, Business, Enterprise or Edu plan is required.
    2. Turn on developer mode once: Settings → Apps → Advanced settings → Developer mode.
    3. Open Settings → Connectors and click Create.
    4. Fill in the form: Name (anything), Description (one line about what the service does), MCP server URL (copy it below).
    5. Under Authentication choose OAuth if the service requires sign-in, otherwise None. Click Create.
    6. In a new chat open + → Apps/Connectors and enable the connector.

    OpenAI has renamed this section before (Connectors → Apps/Plugins). If the label differs, search settings for "developer mode". On Business/Enterprise workspaces an admin must allow custom connectors first.

    Authorization

    On first use ChatGPT opens the service's sign-in window. Sign in and approve access.

    How to connect Nanotoll MCP to Cursor

    The server address to paste into Cursor settings:

    https://mcp.nanotoll.dev/mcp

    Fastest: click Open in Cursor below and confirm the prompt.

    Manually:

    1. In Cursor open Settings → Cursor Settings → MCP and click Add new global MCP server.
    2. Paste the JSON copied below into ~/.cursor/mcp.json (per project: .cursor/mcp.json in the repo root).
    3. Save the file. The server appears in the MCP list; authorize it there if asked.

    Authorization

    If the service needs sign-in, an authorize button appears next to the server in the MCP list.

    Server tool list (8)

    Raw names from tools/list. Only developers need these.

    pruneStrip 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`.
    convertTransform 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`.
    estimateEstimate 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.
    diffGenerate 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`.
    patchApply 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`.
    generateGenerate 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`.
    validateValidate 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`.
    readFetch 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.