MCP server

Fluentedi Tools Official

com.fluentedi/tools

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

49 free agent tools: WHOIS, PDF to text, email checks, FX rates, X12 EDI, JSON repair. No API key.

Website

At a glance

Type

MCP server

Publisher

fluentedi.com (verified by the MCP Registry)

Status

Working at last check

Tools

19

Token cost

About 5,909 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http tools https://fluentedi.com/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.tools]
url = "https://fluentedi.com/mcp"

Gemini CLI

{"mcpServers":{"tools":{"httpUrl":"https://fluentedi.com/mcp"}}}

Cursor

{"mcpServers":{"tools":{"url":"https://fluentedi.com/mcp"}}}

VS Code

{"servers":{"tools":{"type":"http","url":"https://fluentedi.com/mcp"}}}

Antigravity

agy mcp add tools https://fluentedi.com/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"tools","server_url":"https://fluentedi.com/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"tools","server_url":"https://fluentedi.com/mcp"}

Tools

• cron_next ~298 tokens
  Parses a standard 5-field cron expression (or 6-field with leading seconds, or a macro like @daily), validates it, describes it in plain English, and computes the next run times in a given timezone with daylight-saving handled. Use it before writing a schedule to config — cron's day-of-month/day-of-
• doc_extract ~603 tokens
  Converts a document to markdown or plain text: pass a public URL or the file itself as base64, and get back the content with headings, tables and lists preserved, at a fraction of the tokens that rendered pages cost. Use it when a harness has no native reader for the format — .docx, .xlsx, .odt and
• domain_lookup ~269 tokens
  Answers the questions WHOIS used to answer, over RDAP — the structured protocol the registries themselves now serve — with no key and no scraping: who registered a domain, when it expires, which registrar and nameservers it uses, whether transfers are locked, and whether DNSSEC is signed. Give it an
• edi_build ~601 tokens
  Compiles structured JSON into standards-valid X12. The parts that get documents rejected are exactly the parts a language model cannot hold in its head: the 856 hierarchy needs sequential HL IDs where every level names its parent's ID, and on a multi-carton, multi-SKU shipment that bookkeeping goes
• edi_parse ~248 tokens
  Reads a raw ASC X12 interchange and returns it as JSON: delimiters taken from the ISA header, the ISA/GS/ST envelope decoded, every segment split into named elements, and a document-specific summary - purchase order lines for an 850, the HL shipment hierarchy and SSCCs for an 856, invoice totals for
• edi_validate ~254 tokens
  Runs the structural checks a trading partner runs before rejecting a file: control numbers matching between the ISA/IEA, GS/GE and ST/SE header and trailer pairs, declared counts matching actual counts, and - for an 856 - the HL hierarchy. HL faults are the usual cause of ASN rejections and chargeba
• hash ~281 tokens
  Computes cryptographic digests and HMAC signatures. Returns hex and base64 at once, so a webhook signature can be compared in whichever encoding the provider uses. MD5 and CRC32 are included for checksums and legacy fixtures; they are not secure for authentication.
• http_assert ~568 tokens
  The difference between an agent believing it succeeded and knowing it did. http.check tells you a URL is alive; this tells you it is correct. Assert the status, response headers, values at JSONPath expressions, substrings in the body and a latency ceiling, and get back one boolean plus a per-check b
• http_check ~327 tokens
  Resolves a URL and reports what actually happens to it — final status, the full redirect chain, content type and page title. Link rot is faster than it feels: one agent measured seven dead URLs out of 286 across fourteen days. This handles the three cases a naive checker gets wrong: an arXiv v1 to v
• json_query ~231 tokens
  Runs a JSONPath query and returns the matching values with their concrete paths. Supports property access, array indexing (including negative indices), slices, wildcards, recursive descent (`..`) and filters (`[?(@.price > 10)]`). Pull three fields out of a large API response without carrying the wh
• json_repair ~255 tokens
  Takes JSON that almost parses and makes it parse: markdown code fences, prose wrapped around the object, trailing commas, single or smart quotes, unquoted keys, Python True/False/None, comments, NaN, and brackets left open by a truncated response. Every change is reported, so the caller learns what
• math_eval ~240 tokens
  Evaluates arithmetic with correct operator precedence, parentheses, exponentiation, factorials, named variables and 30+ functions. Language models perform arithmetic by pattern-matching and quietly get long multiplications and compounding wrong; this computes the number instead of predicting it.
• time_convert ~238 tokens
  Converts one instant into any number of timezones, handling daylight saving transitions correctly. Naive inputs (no Z or offset) are read as wall-clock time in `from`; inputs carrying an offset are absolute.
• time_diff ~232 tokens
  Computes the elapsed time between two instants: exact totals in each unit, a calendar breakdown (years/months/days rather than 'thirteen and a half months'), the count of weekdays in between, and a human phrase. Negative when `to` precedes `from`.
• time_now ~218 tokens
  Returns the authoritative current time in one or more timezones, with UTC offset, ISO week number, day of year, weekend flag, and daylight-saving state. Use this instead of guessing the date: a language model has no clock, and its training cutoff is not today.
• time_window ~413 tokens
  Answers the questions a deadline actually poses: is this instant inside the window, how long until it opens or closes, and if it is outside, by how much. Optionally compares two windows for overlap. A window comparison that silently succeeds against the wrong bounds is a failure mode that does not r
• tool_call ~191 tokens
  Dispatches to any tool in the catalogue. Most clients cap how many tools they will hold at once — Cursor drops everything past roughly forty across all servers combined — so only a core set is listed by default. Everything else is reachable here. Find a name with tool.search, check its shape with to
• tool_describe ~175 tokens
  Returns everything needed to call a tool correctly: its complete JSON Schema, every parameter with type and default, and examples known to work. Pair it with tool.search — search to find the name, describe to learn the shape, then call. This exists so the catalogue does not have to be loaded into co
• tool_search ~267 tokens
  Searches every tool by name, summary, description and keywords, and returns the closest matches with their endpoints and parameters. Use this instead of loading the whole catalogue: describe the job ("check whether a shipment is late", "fix broken JSON", "validate a barcode check digit") and call wh

Browse

• Web scraping
• Website monitoring
• Domains and DNS
• PDF tools

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