Dataforseo MCP

Live

OAUTH 2.0

ANALYTICS

Analytics

Connect to DataForSEO. Access real-time SEO data including SERP results, keyword analytics, backlinks analysis, domain technologies, and AI visibility...

  • 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.
Dataforseo MCP
agent · Acme Q3
Run
Ai Opt Kw Data Loc And Lang in Dataforseo MCP
S
dataforseomcp_ai_opt_kw_data_loc_and_lang
85ms
Dataforseo MCP agent
List available locations and languages for ai keyword data searches..
Sources: Dataforseo MCP
dataforseomcpmcp
1 tool call
18:29
Message Claude...

Dataforseo MCP tools for AI agents

CALL ANY TOOL
12 tools covering ai.
dataforseomcp_ai_opt_kw_data_loc_and_lang
List available locations and languages for ai keyword data s
List available locations and languages for ai keyword data searches.
Parameters
Name
Type
Required
Description
No parameters required
dataforseomcp_ai_opt_llm_ment_agg_metrics
Get aggregated llm mention metrics for target domains or key
dataforseomcp_ai_opt_llm_ment_cross_agg_metrics
Compare llm mention metrics across multiple targets using cr
dataforseomcp_ai_opt_llm_ment_loc_and_lang
List available locations and languages for llm mention searc
dataforseomcp_ai_opt_llm_ment_search
Search for llm mentions of target domains or keywords across
dataforseomcp_ai_opt_llm_ment_top_domains
Get the top domains mentioned in llm responses for specified
dataforseomcp_ai_opt_llm_ment_top_pages
Get the top pages mentioned in llm responses for specified t
dataforseomcp_ai_optimization_chat_gpt_scraper
Retrieve ai-generated responses for a keyword from chatgpt.
dataforseomcp_ai_optimization_chat_gpt_scraper_locations
List available locations for chatgpt scraper results.
dataforseomcp_ai_optimization_keyword_data_search_volume
Get ai search volume data for keywords across ai platforms.
dataforseomcp_ai_optimization_llm_mentions_filters
List available filter fields and operators for llm mention q
dataforseomcp_ai_optimization_llm_models
List supported ai models available for llm mention analysis.
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="dataforseomcp")

mcp = MultiServerMCPClient({
"dataforseomcp": {
"url": "https://mcp.scalekit.com/dataforseomcp",
"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: "dataforseomcp" });

const openai = new OpenAI();
// Connect to MCP at https://mcp.scalekit.com/dataforseomcp
// 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: "dataforseomcp" });

const anthropic = new Anthropic();
// Connect to MCP at https://mcp.scalekit.com/dataforseomcp
// 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="dataforseomcp")
# Connect to MCP at https://mcp.scalekit.com/dataforseomcp
# Pass: Authorization: Bearer + token
Try these prompts
Paste any prompt into your agent to get started.
Get started
Copy the prompt
Copied
Get subtitle text for a YouTube video by video ID and language?
Copy the prompt
Copied
List available locations for YouTube SERP data queries?
Advanced
Copy the prompt
Copied
Run a Lighthouse performance and SEO audit for a web page URL?
Copy the prompt
Copied
Get on-page SEO data for a URL including metadata, links, and content metrics?
SEE HOW AUTH WORKS
User authorises once. Every agent call after uses their token with scope enforcement.
1
Authorize
Your user connects
Dataforseo 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
Dataforseo 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
Dataforseo 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
Dataforseo 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.
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.
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 Dataforseo 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 Dataforseo 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 Dataforseo?
Yes. Pass a tool name filter to listScopedTools so the analytics agent only sees the subset you authorize. Pre-API-call scope checks block out-of-policy actions before the request reaches Dataforseo.

What happens when a user revokes Dataforseo 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 DataForSEO balance do SERP and keyword calls spend?
The authorizing user's. Every SERP, backlink, and AI visibility request bills that user's DataForSEO account, so agency spend maps cleanly to the person or client who triggered it.

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"": {
""dataforseomcp"": {
""url"": ""https://mcp.scalekit.com/dataforseomcp"",
""headers"": { ""Authorization"": ""Bearer $SCALEKIT_TOKEN"" }
}
}
}
Codex Code REPL
# ~/.codex/config.toml
[mcp_servers.dataforseomcp]
url = ""https://mcp.scalekit.com/dataforseomcp""
auth_env = ""SCALEKIT_TOKEN""
Copilot Code REPL
# .vscode/mcp.json
{
""servers"": {
""dataforseomcp"": {
""url"": ""https://mcp.scalekit.com/dataforseomcp"",
""type"": ""http""
}
}
}