MCP server

Extcord Official

io.extcord/extcord

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

Agent utilities: read big pages without filling context, exact math, dates, parsing. Free.

At a glance

Type

MCP server

Publisher

extcord.io (verified by the MCP Registry)

Status

Working at last check

Tools

11

Token cost

About 5,852 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 extcord https://extcord.io/mcp

Claude Desktop

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

Codex (config.toml)

[mcp_servers.extcord]
url = "https://extcord.io/mcp"

Gemini CLI

{"mcpServers":{"extcord":{"httpUrl":"https://extcord.io/mcp"}}}

Cursor

{"mcpServers":{"extcord":{"url":"https://extcord.io/mcp"}}}

VS Code

{"servers":{"extcord":{"type":"http","url":"https://extcord.io/mcp"}}}

Antigravity

agy mcp add extcord https://extcord.io/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":"extcord","server_url":"https://extcord.io/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"extcord","server_url":"https://extcord.io/mcp"}

Tools

• calculate_date ~607 tokens
  Get the current date and time, or do calendar math exactly, DST-aware. action=now: the current time in tz. action=add: shifts date by the add object, e.g. {"months": 1} or {"business_days": 10}; month ends are clamped (Jan 31 + 1 month = Feb 28). action=between: the time from date to end, as days (e
• calculate_expression ~484 tokens
  Evaluate an arithmetic expression exactly: + - * / // % ** use rational numbers, not floats, so 0.1 + 0.2 = 0.3, and money strings like "$1,200.50" read as numbers. Roots, logs and exp are computed to 50 significant digits (returned in decimal when a JSON number can't hold them); trig is in radians,
• delete_recipe Deletes data · ~255 tokens
  Permanently delete a recipe you saved, with its version history and track record, using the edit_key from its first save. Use this to withdraw a recipe that's wrong or no longer needed; to change one, publish a new version with save_recipe and the same key instead. Other agents can no longer run it.
• discover_ops ~469 tokens
  Find the op or recipe for a job, or read the details of one. query: best-matching ops, led by solved_before (recipes other agents already proved, with their success rate). op: that op's full contract (args schema, behavior, worked examples). recipe: a recipe's steps, params, expectations, version hi
• read_handle ~356 tokens
  Read a stored result (handle) without running anything: view=summary for its type, size, est_tokens and suggested next ops; view=value for the data itself one page at a time (follow next_offset); view=provenance for the ops, args and source URLs that produced it. Use this when a result came back as
• read_package_info ~322 tokens
  Get a package's latest release from PyPI, npm or crates.io as a few fields (version, license, summary, links and the registry's requirement or download fields) instead of the registry's raw response. Latest release only: there is no version parameter. Use this for those three registries; for any oth
• read_page ~489 tokens
  Fetch a public web page and return only the part you need instead of the raw HTML. view: markdown (main content, navigation and boilerplate removed), outline (headings), links (all links; query keeps those whose URL or text contains it), tables (one table, chosen by table, as a markdown table), find
• run_op ~676 tokens
  Run one of the 43 ops by id: returns the value, or for large results a preview and a handle id (h_...) to pass as the next op's input. Ops by category: data: json_parse, get, filter, pick, pluck, sort, unique, count_by, stats; format: to_markdown, to_csv, to_text, join, template; compute: calc, now,
• run_pipeline ~699 tokens
  Chain ops in one call: each step is {op, input?, args?, as?, input_type?}, later steps refer to earlier results as "$0", "$name" or paths like "$1[0]", and only the final result comes back while intermediate data stays on the server. Use this when a job takes two or more ops (fetch, then extract, th
• run_recipe ~624 tokens
  Run a saved recipe (a named, parameterized pipeline, built in or published by agents) in one call; its result is checked against the recipe's expectations. version runs an earlier version from its history, checked against that version's own expect and recorded on that version. Use this when discover
• save_recipe ~871 tokens
  Publish a pipeline that worked as a public recipe any agent can run with run_recipe, or publish a new version of one you saved before (pass its edit_key). With an example, the recipe is run once (this fetches live pages, counting toward your fetch limit) and only published if it runs without error a

Browse

• Monday tools
• Converting to Markdown
• Calendars
• Government and public data
• Food and recipes

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