Catchr MCP

Live

API KEY

MARKETING DATA

Analytics

Catchr MCP gives agents API key access to marketing data: query ad platform metrics across Google Ads, Facebook Ads, and every connected source.

  • Per-user credentials: each call uses the actual user's token, never a shared bot.
  • Encrypted per-tenant vault: AES-256, resolved at request time, never in LLM context.
  • Scoped before every call: pre-call scope check, 90-day SIEM-exportable audit chain.
Catchr MCP
agent · Acme Q3
Run
How did Google Ads spend trend last week versus the week before?
S
catchrmcp_run_api_request_json
105ms
Catchr agent
Spend last week: $12,480, down 8% from $13,560. CPC held at $1.42, conversions up 6% to 918. Two paused campaigns drove the drop.
Sources: 2 accounts, Google Ads
catchrmcp
2 accounts
18:29
Message Claude...

Tools your reporting agent reaches for on Catchr, scoped per user.

CALL ANY TOOL
Marketing data end to end: list connected platforms and accounts, explore the field catalog, and run metric queries across ad sources.
catchrmcp_list_platforms
List platforms
List Catchr platforms, optionally narrowed to only the platforms connected for the authenticated company.
Parameters
Name
Type
Required
Description
connectedOnly
boolean
Optional
When true, return only platforms that are connected for the authenticated company.
catchrmcp_list_sources
List sources
catchrmcp_list_available_accounts
List ad accounts
catchrmcp_list_fields_by_platform
List platform fields
catchrmcp_list_fields_for_account
List account fields
catchrmcp_list_all_fields
Browse field catalog
catchrmcp_describe_run_api_request_schema
Get query schema
catchrmcp_run_api_request_json
Run a data query
Build your Agent
Same auth pattern across LangChain, OpenAI, Anthropic, and Google ADK.
Python · LlamaIndex
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);

// Catchr tools scoped to this user
const { tools } = await sk.tools.listScopedTools("user_123", {
  filter: { connectionNames: ["catchrmcp"], toolNames: [
    "catchrmcp_list_available_accounts",
    "catchrmcp_list_fields_by_platform",
    "catchrmcp_run_api_request_json"] },
  pageSize: 100,
});

const agent = createReactAgent({ llm, tools });
await agent.invoke({ messages: [{ role: "user", content: "How did Google Ads spend trend last week?" }] });
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: ["catchrmcp"] }, pageSize: 100,
});

const res = await openai.chat.completions.create({
  model: "gpt-5",
  messages: [{ role: "user", content: "Which ad platforms are connected for this company?" }],
  tools,
});

// Execute the tool call with the user's vaulted Catchr 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: ["catchrmcp"] }, pageSize: 100,
});

const msg = await anthropic.messages.create({
  model: "claude-sonnet-5",
  max_tokens: 1024,
  messages: [{ role: "user", content: "Compare CPC across Google Ads and Facebook Ads this month." }],
  tools,
});

// Tool call runs with the user's vaulted Catchr 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: ["catchrmcp"] }, pageSize: 100,
});

const agent = new Agent({
  name: "catchr_reporting_agent",
  model: "gemini-2.5-pro",
  instruction: "Answer marketing data questions for the signed-in user.",
  tools,
});

await agent.run("Which campaigns had the highest ROAS last month?");
Try these prompts
Copy any prompt into your agent. Each maps directly to a Catchr tool. Click to copy, paste into your agent, done.
Ad performance
Copy the prompt
Copied
How did Google Ads spend trend last week versus the week before?
Copy the prompt
Copied
Which campaigns had the highest ROAS last month?
Copy the prompt
Copied
Pull impressions, clicks, and CPC for the top 10 Facebook ad sets.
Explore sources and fields
Copy the prompt
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Which ad platforms are connected for this company?
Copy the prompt
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List the ad accounts available under our Google Ads authorization.
Copy the prompt
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What conversion fields does Catchr expose for Facebook Ads?
Cross-platform reporting
Copy the prompt
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Compare CPC across Google Ads and Facebook Ads this month.
Copy the prompt
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Build a weekly spend summary across every connected account.
Copy the prompt
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Total conversions by platform for Q2, sorted highest first.
SEE HOW AUTH WORKS
Your users connect once. Their Catchr credentials stay vaulted, every call is scope-checked, and every action is logged.
1
Authorize
Your user connects
Catchr 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
Catchr 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
Catchr 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
Catchr 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 analytics connectors.
SALES
Deal intelligence agent
Combine Gong, Attio, and Slack signals to surface deal risks and next-best actions. Updated after every call.
ENGINEERING
Engineering standup agent
Aggregate GitHub and GitLab activity, link to Jira, and post a daily standup digest to Slack. No async updates.
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 Catchr key looks fine in a demo. In production every metric query across every client's ad accounts looks like one service account, and you cannot tell who pulled which numbers. 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.
Catchr 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 Catchr 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 metric query in your audit trail is attributed to a real user, not a shared service account.
Where is the Catchr 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 Catchr?
Yes. Filter by tool name in listScopedTools to expose only what you want, for example field discovery without run_api_request_json. 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.
Which ad accounts can the agent actually query?
Only the accounts under the network authorizations your company connected in Catchr. The agent discovers them with list_sources and list_available_accounts, and every run_api_request_json call is scoped to those accounts and logged with the requesting user.
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"": {
""catchrmcp"": {
""url"": ""https://mcp.scalekit.com/catchrmcp"",
""headers"": { ""Authorization"": ""Bearer $SCALEKIT_TOKEN"" }
}
}
}
Codex Code REPL
# ~/.codex/config.toml
[mcp_servers.catchrmcp]
url = ""https://mcp.scalekit.com/catchrmcp""
auth_env = ""SCALEKIT_TOKEN""
Copilot Code REPL
# .vscode/mcp.json
{
""servers"": {
""catchrmcp"": {
""url"": ""https://mcp.scalekit.com/catchrmcp"",
""type"": ""http""
}
}
}