Clearscope MCP Server for LlamaIndex 10 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Clearscope as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to Clearscope. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Clearscope?"
)
print(response)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Clearscope MCP Server
Connect your Clearscope account to any AI agent and take full control of your search discoverability through natural conversation.
LlamaIndex agents combine Clearscope tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
What you can do
- SEO Reports — Create and list content reports to audit your topical authority and search performance
- Content Grading — Grade your drafts in real-time using advanced NLP to reach A++ status and outrank competitors
- Keyword Research — Identify traffic limits, CPC, and competitiveness for any keyword in the Clearscope database
- SERP Analysis — Extract competitor outlines, analyze term frequencies, and audit the top 30 Google results
- Content Briefs — Generate structural outlines and briefs with target word counts and required semantic topics
- Workspace Management — Navigate between different organizational workspaces to isolate your content projects
The Clearscope MCP Server exposes 10 tools through the Vinkius. Connect it to LlamaIndex in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Clearscope to LlamaIndex via MCP
Follow these steps to integrate the Clearscope MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 10 tools from Clearscope
Why Use LlamaIndex with the Clearscope MCP Server
LlamaIndex provides unique advantages when paired with Clearscope through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Clearscope tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Clearscope tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Clearscope, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Clearscope tools were called, what data was returned, and how it influenced the final answer
Clearscope + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Clearscope MCP Server delivers measurable value.
Hybrid search: combine Clearscope real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Clearscope to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Clearscope for fresh data
Analytical workflows: chain Clearscope queries with LlamaIndex's data connectors to build multi-source analytical reports
Clearscope MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Clearscope to LlamaIndex via MCP:
create_report
Provision a highly-available async parsing boundary running SERP execution hooks
get_brief
Identify explicit instructions resolving writing boundaries
get_keyword_research
Identify explicit Cloud calculations tracking theoretical Google traffic limits
get_outline
Extracts structural string arrays resolving AI-nested content hierarchies limit
get_report_details
Perform structural extraction of properties driving active NLP scoring boundaries
grade_content
Retrieve the exact structural matching verifying text against mapped NLP bounds
list_competitors
Identify precise active arrays spanning native SERP competitor links
list_reports
Identify bounded logical arrays managing top-level Clearscope content SEO reports
list_terms
Extracts explicitly attached NLP bounding variables organizing term frequencies
list_workspaces
Retrieve the root identity mappings bounding specific organizational containers
Example Prompts for Clearscope in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Clearscope immediately.
"Create a new Clearscope report for the keyword 'best AI tools 2024'"
"Grade this content draft against report 'report_123': [content text]"
"Show me the competitor outline for the keyword report 'report_456'"
Troubleshooting Clearscope MCP Server with LlamaIndex
Common issues when connecting Clearscope to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpClearscope + LlamaIndex FAQ
Common questions about integrating Clearscope MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect Clearscope with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Clearscope to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.