com.useaiblocks/library

up checked 2026-11-11T00:37:46.396Z

Unclaimed · Unverified

Agent searches it appeared in, last 30 days: 0. Run this server? Claim the listing: verified label, uptime alerts and analytics.

Publisher-provided title

AI Blocks

Publisher-provided description

Search and load free AI skills, workflows, agents and prompts. Read-only, no sign-in.

Summary by lookupd

Searches and loads free AI skills, workflows, agents and prompts from a read-only library, with no sign-in needed.

Install

Claude Code, remote (streamable-http)

claude mcp add --transport http library https://useaiblocks.com/mcp

Codex, remote (streamable-http)

codex mcp add library --url https://useaiblocks.com/mcp

Cursor, remote (streamable-http) → .cursor/mcp.json

{
  "mcpServers": {
    "library": {
      "url": "https://useaiblocks.com/mcp"
    }
  }
}

Other clients: docs. Or tell your agent: Set up lookupd for me: read https://lookupd.com/agent.md and follow it.

Tools (25 tools)

Publisher-provided text

start_outcome For a goal or problem with no deliverable named yet, in the owner's own words ("more customers", "my ad costs are rising"). For a named piece of work, such as a
advance_outcome Apply one event to an engagement. Before the run: brief (the pinned-down outcome), plan (research and the composed plan, checked against our rules and the live
record_outcome_decision Record what the owner chose, the options considered (best-ranked first), what they passed over and why. Passing over the top option needs a reason. Returns a li
record_outcome_experiment Register a test before it goes live (action register: change, metric, baseline, window, minimum volume, guardrails), then close it (action close: observed, volu
read_back_outcome_experiment Without a reading: the read-back schedule for every open experiment and a routine prompt for a host scheduler (Claude Code scheduled task or cron), set up only
prepare_outcome_pattern After a finished round, returns the exact anonymised PATTERN.json the owner would share (names, figures, links and contact details removed) and its sha256. Only
prepare_job_context The first call for any piece of work: a page, ad, email, copy, audit, analysis, plan or code. Returns a short brief to act on, up to 4 questions to ask (each wi
start_job Decides who does a job and says why. One kind of work: one lead, with the lead to load, the questions and the rubric. Mixed kinds of work, a large batch or mode
advance_job Team jobs only. Send the latest complete state and state_digest unchanged, with one event and its document. Each step checks its record; a refusal names the fie
propose_team The roster a team job would get: one lead who owns the deliverable and the helpers it may call, matched from published roles and personas. start_job returns thi
get_approaches Read source-backed approach families, methods, lenses and needed tools. Coverage and review gaps are reported honestly. Pass job or task.
get_job_templates JOB-METHOD.md (the short team method), JOB-RECORDS.md (every record field; open it only when advance_job refuses a record) and the delivery templates.
get_job_preferences On this anonymous service, return recommended choices and a local-file template. Signed-in connections use the scoped private preference record. No private data
set_job_preferences Anonymous calls only prepare local preference files; they save nothing on the server. Signed-in connections require the selected workspace write consent. An ord
find_specialist Find worker candidates for a deliverable. Compare their remit and outputs, then use prepare_specialist to onboard the chosen worker. Keep unrelated private cont
prepare_specialist Supply role_id only to load a complete base specialist: README, setup, SOUL, intake, playbook, handoff and best-practice files, pinned methods and a full ZIP do
search_library Look up one item (to start a piece of work, use prepare_job_context; for a business goal, start_outcome). Find skills, workflows, agents, prompts, minds, AI too
plan_workflow Find candidate steps for a multi-step job; these are suggestions, not a complete context-validated plan. Before calling, form a task brief from the current chat
get_skill Retrieve a skill. Concise (default): summary, inputs, outputs, how to use, file list with hashes, and step_map (what usually goes before and after it and the in
get_workflow Retrieve a public workflow, its declared order and skill references, plus handoff_check: which step passes each input to which, and which inputs the user gives.
get_resource Read one inventoried resource at an exact skill revision. Text returns bounded ordered chunks; follow next_offset until null and verify full character coverage.
prepare_workflow Check a workflow, or a change to one. Call it whenever the user wants to see, check or change a workflow (swap, add, remove or reorder steps), and before showin
get_item Get one item of any kind by the id from search_library: an agent, prompt, mind, AI tool or mini tool (skills and workflows work too). Concise (default): what it
search Search AI Blocks in the shape ChatGPT deep research and company knowledge use: results with id, title and url. Read one with fetch. search_library does the same
fetch Read one item by the id from search (such as skill/ad-angle-planner): its full text (the SKILL.md, or the AI tool or mini tool record), url to cite and metadata

Details

Version: 3.0.0
Transports: streamable-http
Uptime (7 days): 100%
Median latency: 578 ms
First indexed: 2026-11-05T12:17:21.645Z
Last seen in registry: 2026-11-05T12:17:21.645Z
Website: https://useaiblocks.com/api-and-mcp

Badge for your README

Shows this live status and links here; updates hourly.

[![lookupd status](https://lookupd.com/badge/com.useaiblocks/library.svg)](https://lookupd.com/servers/com.useaiblocks/library)

62071 servers
Last crawl: 2026-11-11T16:39:06.253Z
API base: https://api.lookupd.com
MCP URL: https://api.lookupd.com/mcp