KnowFirst 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 KnowFirst 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 KnowFirst. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in KnowFirst?"
)
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 KnowFirst MCP Server
Connect your AI agent to KnowFirst, the leading provider of real-time data intelligence and entity profiling.
LlamaIndex agents combine KnowFirst 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.
Key Capabilities
- Entity Profiling — Deep search for companies and individuals to get comprehensive intelligence data
- Signal Auditing — Track changes and signals for specific entities over time to detect shifts in behavior
- Market Analysis — Access trending signals by category to understand sector-wide movements
- Relationship Mapping — Graph connections between entities to discover hidden networks and dependencies
- Source Transparency — Audit the data sources providing information for your research
Simple Integration
1. Get your KnowFirst API Key from your dashboard
2. Configure the key in this MCP server
3. Start extracting data intelligence using natural language commands
The KnowFirst 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 KnowFirst to LlamaIndex via MCP
Follow these steps to integrate the KnowFirst 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 KnowFirst
Why Use LlamaIndex with the KnowFirst MCP Server
LlamaIndex provides unique advantages when paired with KnowFirst through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine KnowFirst tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain KnowFirst tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query KnowFirst, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what KnowFirst tools were called, what data was returned, and how it influenced the final answer
KnowFirst + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the KnowFirst MCP Server delivers measurable value.
Hybrid search: combine KnowFirst real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query KnowFirst 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 KnowFirst for fresh data
Analytical workflows: chain KnowFirst queries with LlamaIndex's data connectors to build multi-source analytical reports
KnowFirst MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect KnowFirst to LlamaIndex via MCP:
audit_entity_changes
Audit historical changes for an entity
check_knowfirst_api_status
Check the status of the KnowFirst API
get_entity_connections
Graph the connections of an entity
get_entity_profile
Get complete intelligence profile for an entity
get_market_intelligence_trends
g., Tech, Finance). Get current market trends by category
list_entity_data_points
List raw data points for an entity
list_intelligence_sources
g., Public Records, Social Signals, News). List all data sources used by KnowFirst
query_custom_intelligence
Provide the query parameters as a JSON string. Execute a custom intelligence query
search_data_sources
Search for specific data sources
search_intelligence_entities
Returns unique entity IDs. Search for specific entities in the intelligence database
Example Prompts for KnowFirst in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with KnowFirst immediately.
"Research Acme Corp in KnowFirst"
"Show me the connections for entity 'ent_123'"
"What are the trending signals in the 'Fintech' category?"
Troubleshooting KnowFirst MCP Server with LlamaIndex
Common issues when connecting KnowFirst to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpKnowFirst + LlamaIndex FAQ
Common questions about integrating KnowFirst 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 KnowFirst 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 KnowFirst to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.