Splice MCP

Live

OAUTH 2.0

MEDIA

Media

Connect to Splice MCP to access your music production library. Browse and download samples, loops, and sounds directly from your AI workflows.

  • Acts as the user: Every tool call runs as the authorizing user. Access and audit trail stay intact.
  • Credentials stay vaulted: AES-256 encrypted, resolved at request time, never stored in LLM context.
  • Scoped before every call: Per-user permissions enforced automatically. 90-day audit trail included.
Splice MCP
agent · Acme Q3
Run
Create Stack in Splice MCP
S
splicemcp_create_stack
85ms
Splice MCP agent
Create a multi-track stack from an existing splice sample, optionally generating a public share url..
Sources: Splice MCP
splicemcpmcp
1 tool call
18:29
Message Claude...

Splice MCP tools for AI agents

CALL ANY TOOL
8 tools covering search, download, browse.
splicemcp_create_stack
Create a multi-track stack from an existing splice sample, o
Create a multi-track stack from an existing splice sample, optionally generating a public share url.
Parameters
Name
Type
Required
Description
asset_uuid
string
Required
The UUID of the sample to use as the seed for the stack
bpm
integer
Optional
Target BPM for the stack (e.g. use the seed sample's BPM). Omit to let the backend decide.
generate_public_url
boolean
Optional
Set to true ONLY if the user explicitly asks for a shareable, public, or web link. Defaults to false.
name
string
Optional
An optional name for the stack
splicemcp_describe_a_sound
Search the splice catalog for samples matching a natural lan
splicemcp_download_asset
Purchase a splice sample and return a presigned download url
splicemcp_prompt_to_stack
Generate a complete multi-track arrangement of compatible sa
splicemcp_share_stack
Generate a public shareable url for an existing stack by its
splicemcp_update_stack
Modify an existing stack by adding, removing, or swapping so
Build your Agent
Same auth pattern across every framework.
Python · LlamaIndex
from langchain_mcp_adapters.client import MultiServerMCPClient
from scalekit import ScalekitClient

client = ScalekitClient(env_url=ENV_URL, client_id=CLIENT_ID, client_secret=SECRET)
token = client.agent.get_token(user_id="user_id", connector="splicemcp")

mcp = MultiServerMCPClient({
"splicemcp": {
"url": "https://mcp.scalekit.com/splicemcp",
"headers": {"Authorization": "Bearer " + token}
}
})
tools = await mcp.get_tools()
import OpenAI from "openai";
import { ScalekitClient } from "@scalekit-sdk/node";

const client = new ScalekitClient({ envUrl, clientId, clientSecret });
const token = await client.agent.getToken({ userId: "user_id", connector: "splicemcp" });

const openai = new OpenAI();
// Connect to MCP at https://mcp.scalekit.com/splicemcp
// Pass: Authorization: Bearer + token
import Anthropic from "@anthropic-ai/sdk";
import { ScalekitClient } from "@scalekit-sdk/node";

const client = new ScalekitClient({ envUrl, clientId, clientSecret });
const token = await client.agent.getToken({ userId: "user_id", connector: "splicemcp" });

const anthropic = new Anthropic();
// Connect to MCP at https://mcp.scalekit.com/splicemcp
// Pass: Authorization: Bearer + token
from google.adk.agents import LlmAgent
from scalekit import ScalekitClient

client = ScalekitClient(env_url=ENV_URL, client_id=CLIENT_ID, client_secret=SECRET)
token = client.agent.get_token(user_id="user_id", connector="splicemcp")
# Connect to MCP at https://mcp.scalekit.com/splicemcp
# Pass: Authorization: Bearer + token
Try these prompts
Paste any prompt into your agent to get started.
Get started
Copy the prompt
Copied
Modify an existing stack by adding, removing, or swapping sounds, or by renaming it or changing its BPM?
Copy the prompt
Copied
Generate a public shareable URL for an existing stack by its UUID?
Advanced
Copy the prompt
Copied
Purchase a Splice sample and return a presigned download URL for the audio file?
Copy the prompt
Copied
Search the Splice catalog for samples matching a natural language description, with optional BPM and type filters?
SEE HOW AUTH WORKS
User authorises once. Every agent call after uses their token with scope enforcement.
1
Authorize
Your user connects
Splice 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
Splice 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
Splice 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
Splice 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 connectors.
No items found.
Why Scalekit
Secure your agent's access. Connectors ship in minutes
Other connector libraries treat auth as a demo afterthought.
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.
// shared token
audit → bot_service_account

// scalekit
audit → user_abc ✓
02.
Authentication is not authorization
03.
Multi-tenancy is architectural
04.
One connector today. Ten 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 Splice as the user or as a shared key?
As the user. Each workspace member authorizes once and Scalekit resolves their credential at request time. Audit logs attribute every action to that user, not a shared service account.

Where is the Splice OAuth token stored?
In Scalekit's managed AES-256 token vault, namespaced per tenant. Refresh is automatic. Revocation is a single dashboard action. Tokens never appear in prompts, logs, or LLM context.

Can I limit what the agent is allowed to do in Splice?
Yes. Pass a tool name filter to listScopedTools so the media agent only sees the subset you authorize. Pre-API-call scope checks block out-of-policy actions before the request reaches Splice.

What happens when a user revokes Splice access?
The connection is invalidated on the next tool call. Subsequent requests for that user fail closed with a clear error. Other users in the tenant remain unaffected. The event is logged for audit.

Whose Splice library do downloaded samples land in?
The authorizing user's. Catalog search, stack creation, and asset downloads run under that user's Splice subscription, so credits and licenses stay personal.

Start in your coding agent
Up and running in one command
Install the Scalekit skill in your editor of choice. Connector, auth, tools, prompt, all wired up
Claude Code REPL
/plugin marketplace add scalekit-inc/claude-code-authstack
/plugin install agentkit@scalekit-auth-stack
Cursor Code REPL
# ~/.cursor/mcp.json
{
""mcpServers"": {
""splicemcp"": {
""url"": ""https://mcp.scalekit.com/splicemcp"",
""headers"": { ""Authorization"": ""Bearer $SCALEKIT_TOKEN"" }
}
}
}
Codex Code REPL
# ~/.codex/config.toml
[mcp_servers.splicemcp]
url = ""https://mcp.scalekit.com/splicemcp""
auth_env = ""SCALEKIT_TOKEN""
Copilot Code REPL
# .vscode/mcp.json
{
""servers"": {
""splicemcp"": {
""url"": ""https://mcp.scalekit.com/splicemcp"",
""type"": ""http""
}
}
}