Bio Render MCP

CALL ANY TOOL

API key scoped per researcher. Figure creation and export attributed to the authorizing lab member.

biorender_templates_search

Search templates

Search BioRender's library of scientific illustration templates by keyword, pathway type, or biological process.

Parameters

Name

Type

Required

Description

query

string

Required

Search query (e.g. T-cell activation, CRISPR)

category

string

Optional

Template category: pathways, cell_biology, microbiology, anatomy

limit

integer

Optional

Max results to return

biorender_figure_create

Create figure

biorender_figure_export

Export figure

biorender_icons_search

Search icons

biorender_figures_list

List figures

Build your Agent

Drop the toolkit in, point it at the authorized researcher, and your agent can create and export BioRender figures from the first run.

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import { ScalekitClient } from "@scalekit-sdk/node";
import { DynamicStructuredTool } from "@langchain/core/tools";
import { createReactAgent } from "@langchain/langgraph/prebuilt";
import { z } from "zod";

const sk = new ScalekitClient(envUrl, clientId, clientSecret);

const { tools } = await sk.tools.listScopedTools("user_123", {
  filter: { connectionNames: ["biorendermcp"], toolNames: ["biorender_templates_search", "biorender_figure_create", "biorender_figure_export"] },
  pageSize: 100,
});

const lcTools = tools.map((t) => new DynamicStructuredTool({
  name: t.tool.definition.name,
  description: t.tool.definition.description,
  schema: z.object({}).passthrough(),
  func: async (args) => {
    const { data } = await sk.tools.executeTool({
      toolName: t.tool.definition.name,
      identifier: "user_123",
      params: args,
    });
    return JSON.stringify(data);
  },
}));

const agent = createReactAgent({ llm, tools: lcTools });

Copied

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

const sk = new ScalekitClient(envUrl, clientId, clientSecret);
const openai = new OpenAI();

const { tools } = await sk.tools.listScopedTools("user_123", {
  filter: { connectionNames: ["biorendermcp"], toolNames: ["biorender_templates_search", "biorender_figure_create", "biorender_figure_export"] },
  pageSize: 100,
});

const llmTools = tools.map((t) => ({
  type: "function",
  function: {
    name: t.tool.definition.name,
    description: t.tool.definition.description,
    parameters: t.tool.definition.input_schema,
  },
}));

const resp = await openai.responses.create({
  model: "gpt-4o", input: prompt, tools: llmTools,
});

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

const sk = new ScalekitClient(envUrl, clientId, clientSecret);
const anthropic = new Anthropic();

const { tools } = await sk.tools.listScopedTools("user_123", {
  filter: { connectionNames: ["biorendermcp"], toolNames: ["biorender_templates_search", "biorender_figure_create", "biorender_figure_export"] },
  pageSize: 100,
});

const llmTools = tools.map((t) => ({
  name: t.tool.definition.name,
  description: t.tool.definition.description,
  input_schema: t.tool.definition.input_schema,
}));

const msg = await anthropic.messages.create({
  model: "claude-sonnet-4-6", max_tokens: 1024,
  tools: llmTools,
  messages: [{ role: "user", content: prompt }],
});

Copied

import { Agent } from "@google/adk/agents";
import {
  MCPToolset, StreamableHTTPConnectionParams,
} from "@google/adk/tools/mcp";

const toolset = new MCPToolset({
  connectionParams: new StreamableHTTPConnectionParams({
    url: "https://mcp.scalekit.com/biorendermcp",
    headers: { Authorization: `Bearer ${userScopedToken}` },
  }),
});

const agent = new Agent({
  name: "agent", model: "gemini-2.0-flash",
  tools: await toolset.getTools(),
});

Try these prompts

Paste any prompt into your scientific illustration agent to start creating figures in BioRender.

Search & recall

Copy the prompt

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List all figure templates available in my BioRender account.

Copy the prompt

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Get my recently created figures and their export status.

Copy the prompt

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Search for BioRender icons matching [keyword] for use in my pathway diagram.

Create & export

Copy the prompt

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Create a pathway diagram showing [biological process] using BioRender icons.

Copy the prompt

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Export my [figure name] as a high-resolution PNG for publication.

Copy the prompt

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Duplicate my [template name] figure and update labels for [experiment condition].

SEE HOW AUTH WORKS

Researchers authorize BioRender once. Their OAuth token stays vaulted, every figure creation is scoped to their license, and every action is logged.

1

Authorize

Your user connects

Bio Render 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

Bio Render 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

Bio Render 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

Bio Render 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

Same per-user auth pattern across other scientific and life sciences tool connectors.

No items found.

Why Scalekit

Secure your agent's access. Connectors ship in minutes

One vault for every research tool. BioRender today, Figma and Notion tomorrow.

01.

Shared tokens break per-user analytics

A shared token looks fine in a demo. In production every call looks like a service account. Scalekit resolves the real user credential so attribution, audit, and scope stay accurate.

// shared token
 audit → bot_service_account
 user_filter → broken

 // scalekit
 audit → user_abc
 scope → enforced ✓

02.

Authentication is not authorization

03.

Multi-tenancy is architectural

04.

Bio Render MCP today. Others 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 use a shared BioRender license or per-user licenses?

Per-user licenses. Each researcher's BioRender API key is vaulted under their identity. Figure creation and exports are attributed to that researcher's institutional license, not a shared account.

Where is the BioRender API key stored?

In Scalekit's AES-256 vault, namespaced per tenant. Keys resolve at request time and never appear in prompts, logs, or LLM completions.

Can I control what figure operations the agent performs?

Yes. Use listScopedTools to allow template search and figure creation but block deletion or bulk export operations that could exhaust a user's license quota.

What happens when a researcher's BioRender key is revoked?

The next tool call fails closed for that user. Other lab members remain unaffected. The revocation event is logged with timestamp for audit.

Does the agent respect BioRender institutional license limits?

Yes. Each call runs under the authorizing user's BioRender license tier. Export limits and premium template access are enforced by BioRender's own permission layer. Scalekit does not expand user entitlements.

Tools your research agent reaches for on BioRender, scoped per lab member.