Anakin MCP connector for AI agents

CALL ANY TOOL

Web automation end to end: search and scrape any page, crawl entire sites, and run pre-built Wire actions on catalog sites.

anakinmcp_search

Search the web

Run an AI web search that returns result URLs, titles, snippets, and dates synchronously, so the agent can discover relevant pages before scraping.

Parameters

Name

Type

Required

Description

prompt

string

Required

The search query in natural language.

limit

integer

Optional

Maximum number of results to return.

anakinmcp_scrape

Scrape a page

anakinmcp_crawl

Crawl a site

anakinmcp_map

Map site URLs

anakinmcp_agentic_search

Run deep research

anakinmcp_wire_discover

Discover Wire actions

anakinmcp_wire_catalog

Browse Wire catalog

anakinmcp_wire_read_action

Run a read action

Build your Agent

Same auth pattern across LangChain, OpenAI, Anthropic, and Google ADK.

import { ScalekitClient } from "@scalekit-sdk/node";
import { createReactAgent } from "@langchain/langgraph/prebuilt";

const sk = new ScalekitClient(env.SCALEKIT_ENV_URL, env.SCALEKIT_CLIENT_ID, env.SCALEKIT_CLIENT_SECRET);

// Anakin tools scoped to this user
const { tools } = await sk.tools.listScopedTools("user_123", {
  filter: { connectionNames: ["anakinmcp"], toolNames: [
    "anakinmcp_search",
    "anakinmcp_scrape",
    "anakinmcp_wire_read_action"] },
  pageSize: 100,
});

const agent = createReactAgent({ llm, tools });
await agent.invoke({ messages: [{ role: "user", content: "What do standing desks cost on Walmart?" }] });

import OpenAI from "openai";
import { ScalekitClient } from "@scalekit-sdk/node";

const sk = new ScalekitClient(env.SCALEKIT_ENV_URL, env.SCALEKIT_CLIENT_ID, env.SCALEKIT_CLIENT_SECRET);
const openai = new OpenAI();

const { tools } = await sk.tools.listScopedTools("user_123", {
  filter: { connectionNames: ["anakinmcp"] }, pageSize: 100,
});

const res = await openai.chat.completions.create({
  model: "gpt-5",
  messages: [{ role: "user", content: "Scrape this pricing page and return it as markdown." }],
  tools,
});

// Execute the tool call with the user's vaulted Anakin credential
await sk.tools.executeTool(res.choices[0].message.tool_calls[0], "user_123");

import Anthropic from "@anthropic-ai/sdk";
import { ScalekitClient } from "@scalekit-sdk/node";

const sk = new ScalekitClient(env.SCALEKIT_ENV_URL, env.SCALEKIT_CLIENT_ID, env.SCALEKIT_CLIENT_SECRET);
const anthropic = new Anthropic();

const { tools } = await sk.tools.listScopedTools("user_123", {
  filter: { connectionNames: ["anakinmcp"] }, pageSize: 100,
});

const msg = await anthropic.messages.create({
  model: "claude-sonnet-5",
  max_tokens: 1024,
  messages: [{ role: "user", content: "Find Wire actions for tracking Amazon price changes." }],
  tools,
});

// Tool call runs with the user's vaulted Anakin credential
await sk.tools.executeTool(msg.content, "user_123");

import { Agent } from "@google/adk/agents";
import { ScalekitClient } from "@scalekit-sdk/node";

const sk = new ScalekitClient(env.SCALEKIT_ENV_URL, env.SCALEKIT_CLIENT_ID, env.SCALEKIT_CLIENT_SECRET);

const { tools } = await sk.tools.listScopedTools("user_123", {
  filter: { connectionNames: ["anakinmcp"] }, pageSize: 100,
});

const agent = new Agent({
  name: "anakin_web_agent",
  model: "gemini-2.5-pro",
  instruction: "Automate web research for the signed-in user.",
  tools,
});

await agent.run("Map competitor.com and list every URL under /blog.");

Try these prompts

Copy any prompt into your agent. Each maps directly to an Anakin tool. Click to copy, paste into your agent, done.

Deep research

Copy the prompt

Copied

Run a comparative analysis of the top 5 CRM vendors' pricing pages.

Copy the prompt

Copied

Research data residency rules across the EU, UK, and Switzerland.

Copy the prompt

Copied

Build a market overview of AI transcription startups with sources.

Scrape and crawl

Copy the prompt

Copied

Scrape this pricing page and return it as markdown.

Copy the prompt

Copied

Crawl the docs site and pull every page under /guides.

Copy the prompt

Copied

Map competitor.com and list every URL under /blog.

Wire actions

Copy the prompt

Copied

Find Wire actions for tracking Amazon price changes.

Copy the prompt

Copied

Pull the top 20 Walmart listings for standing desks.

Copy the prompt

Copied

Which sites in the Wire catalog support LinkedIn profile reads?

SEE HOW AUTH WORKS

Your users connect once. Their Anakin credentials stay vaulted, every call is scope-checked, and every action is logged.

1

Authorize

Your user connects

Anakin MCP

once. We tie it to their identity and the meetings they approved — no shared bot account, no org-wide access

Who:

user ‘A’

when:

Once per user

access:

Limited to user

2

Store

Their

Anakin MCP

token lives in a vault scoped to them. User A's meetings are never reachable by an agent acting for user B, even on the same connection

vault:

encrypted

scope:

per-user

tokens:

auto-refreshed

3

Resolve

When your agent calls a

Anakin MCP

tool, we fetch the right token server-side. It never touches your agent, never appears in the LLM context, never shows up in your logs

speed:

~40ms

check:

before every call

seen by:

nobody

4

Audit

Every

Anakin MCP

tool call is logged — who triggered it, which meeting was fetched, what came back. 90 days of history, tied to the user who authorized it

history:

90 days

export:

SIEM-ready

logged:

every call

Test other agents

See the same per-user auth pattern across other automation connectors.

ENGINEERING

DevOps assistant agent

Triage GitHub incidents, open Linear tickets, and notify the on-call channel in Slack with context already attached.

ENGINEERING

Slack workflow agent (LangGraph)

LangGraph agent that drives multi-step Slack workflows: triggers, approvals, and follow-up actions per user identity.

Slack

View agent

Why Scalekit

Secure your agent's access. Connectors ship in minutes

Other connector libraries treat auth as a demo afterthought. Scalekit starts with identity, scope enforcement, and audit. Connectors follow.

01.

Shared tokens break per-user analytics

A shared Anakin key looks fine in a demo. In production every scrape, crawl, and Wire action bills and logs as one account, and you cannot tell who ran the research or burned the credits. Scalekit resolves the credential of the actual user who triggered the agent, never a shared bot.

// shared key
audit → bot_service_account

// scalekit
audit → user_abc ✓

02.

Authentication is not authorization

03.

Multi-tenancy is architectural

04.

Anakin today. Ten connectors tomorrow.

“Our agents act across Salesforce, Gong, Google Drive, and more, on behalf of every customer. Scalekit behind the scenes meant we can keep adding tools without ever rebuilding how credentials or tool calling work.”

Venu Madhav Kattagoni

Head of Engineering / Von

FAQs

Frequently Asked Questions

Does the agent access Anakin as the user or through a shared key?

As the user. Scalekit resolves the credential of the person who triggered the agent at request time, so every search, scrape, and Wire action in your audit trail is attributed to a real user, not a shared service account.

Where is the Anakin API key stored?

In an AES-256 encrypted vault with per-tenant namespacing. Keys are resolved at request time, never enter LLM context, and can be rotated or revoked from one dashboard.

Can I limit what the agent does in Anakin?

Yes. Filter by tool name in listScopedTools to expose only what you want, for example search and scrape without Wire write actions. Scalekit also enforces scope checks before every API call.

What happens when a user revokes access?

The credential is invalidated at the next tool call. The call fails closed, other users' connections are unaffected, and the revocation is logged in the audit chain.

Some Wire actions need a site login. How are those credentials handled?

Wire identities hold named site accounts inside Anakin, and the agent passes only a credential_id when it runs an auth-required action. Scalekit vaults the Anakin key itself, so neither raw site passwords nor the API key ever appear in LLM context.

Anakin MCP

Tools your web agent reaches for on Anakin, scoped per user.