io.agent4/agent4-tenant

up checked 2026-11-11T08:37:58.009Z

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Publisher-provided title

agent4.io

Publisher-provided description

Build and run grounded business agents over MCP: agents, knowledge bases, skills, Storylines.

Summary by lookupd

Build and manage AI agents, knowledge bases, skills, and shares for grounded business chat, with document ingestion and search.

Install

Claude Code, remote (streamable-http)

claude mcp add --transport http agent4-tenant https://api.agent4.io/v1/mcp

Codex, remote (streamable-http)

codex mcp add agent4-tenant --url https://api.agent4.io/v1/mcp

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

{
  "mcpServers": {
    "agent4-tenant": {
      "url": "https://api.agent4.io/v1/mcp"
    }
  }
}

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

Tools (showing 30 of 50)

Publisher-provided text

list_agents List all agents in this tenant (name + published state).
get_agent Get one agent's full configuration (soul/task/tools/skills/knowledge_bases/model/params).
create_agent Create an agent. `name` is lower-cased on save — it is a key, not a display name. soul = persona/identity; task = duties and boundaries; tools = tool-
update_agent Update **part** of an agent — fields you don't pass stay as they are. ⚠️ List-field semantics, don't mix them up: `tools=[...]` / `skills=[...]` / `kno
list_tools List tool names assignable to agents, with their descriptions (incl. the tenant's connected MCP tools).
list_mcp_servers List the MCP servers connected in this tenant's tool library (read-only; secret fields omitted).
create_share Create a **share / integration entry point** for an agent — this is how end users actually reach it. **`published=True` only means "visible", not "reachabl
list_shares List an agent's shares (token / label / disabled / chat link / embed URL / appearance config). When the top-level `pretty_url` is non-empty it is the prefe
configure_share Configure this share — its name and its **appearance** — fields you don't pass stay as they are (server-side partial merge). - `label`: the name at the
set_pwa_branding Configure a specific **agent's** PWA branding and install experience (applies to that agent's `/s/` standalone chat pages — what gets installed to the home
set_custom_domain Bind the client's own domain to this tenant's chat pages: `https://chat.client.com/` serves the tenant's branded page (or a specific agent's chat), the addr
list_skills List this tenant's skills.
get_skill Get one skill's full content (including the complete instructions text).
create_skill Create a skill. description = "when to use" (goes into the system prompt, keep it short); instructions = the detailed guide (fetched on demand via load_skil
update_skill Update part of a skill — fields you don't pass stay as they are (server-side PATCH merge, no GET+PUT round-trip). ⚠️ `tools=[...]` is **full-list repla
test_skill_trigger Reality-check whether your prompts actually trigger tool calls (dry-run) — run this after writing/changing a skill instead of counting corpses in production
list_knowledge_bases List this tenant's knowledge bases (with doc/chunk counts and relevance cutoff).
get_knowledge_base Get one knowledge base's configuration (including the full instructions text shown to the model).
create_knowledge_base Create a knowledge base. **Write `description` — it is what routes questions to this base.** Before each answer the platform reads every attached base'
update_knowledge_base Update part of a knowledge base — fields you don't pass stay as they are (server-side PATCH merge).
add_knowledge_text Add a **text** document to a knowledge base (chunking + embedding happen synchronously; returns the real chunk count). For **local files** (pdf/docx…)
add_knowledge_file Add a local file's content to a knowledge base (txt/md/html/pdf/docx). **This MCP runs on the platform server and cannot read paths on YOUR machine.** For
search_knowledge_base Search this knowledge base; returns matching chunks with distances. Uses **exactly the same retrieval path as real conversations** — use it to validate the
build_knowledge_index Build (or rebuild) the structured index for a knowledge base — the second leg beside vector search. Vector search answers "what does this passage say". It
get_knowledge_index Show the structured index profile: per column coverage, type, numeric range, top values, warnings. **The warnings are the point.** On a real 4,500-document
patch_knowledge_index Change the structured index schema from one sentence of plain language. Example requests: "also track the author so users can find other books by them", "I
improve_prompt Rewrite a field's text to work better as an AI system prompt; returns the improved text. field ∈ persona | task | greeting | storyline_task | storyline_ope
diagnose_prompt Read a field and return a list of **specific** improvement suggestions (string array). field: same values as improve_prompt. current = the text to diagnose
test_planner_trigger Dry-run the Dynamic Planner's escalation judge: would these messages be offered a step-by-step plan? Use it after editing the agent's `task`, since the task
preview_plan Generate a plan for a goal and return it for review **without persisting anything** — no temporary storyline, no enrollment, no user affected. Use it to ins

Details

Version: 1.4.0
Transports: streamable-http
Uptime (7 days): 100%
Median latency: 689 ms
First indexed: 2026-11-01T09:02:47.980Z
Last seen in registry: 2026-11-01T09:02:48.122Z
Website: https://agent4.io

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62092 servers
Last crawl: 2026-11-11T17:38:11.606Z
API base: https://api.lookupd.com
MCP URL: https://api.lookupd.com/mcp