Knackly MCP Server for LlamaIndexGive LlamaIndex instant access to 8 tools to Create Data Record, Get Record Details, List Catalogs, and more
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Knackly 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 App Connector for LlamaIndex
The Knackly app connector for LlamaIndex is a standout in the Productivity category — giving your AI agent 8 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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 Knackly. "
"You have 8 tools available."
),
)
response = await agent.run(
"What tools are available in Knackly?"
)
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 Knackly MCP Server
Connect your Knackly account to any AI agent and automate document generation through natural conversation.
LlamaIndex agents combine Knackly tool responses with indexed documents for comprehensive, grounded answers. Connect 8 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
- Template Management — Browse templates and their field configurations
- Document Generation — Create documents from templates with field data
- App Browsing — List all Knackly apps and their configurations
- Generation History — Track document generation history and outputs
The Knackly MCP Server exposes 8 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.
All 8 Knackly tools available for LlamaIndex
When LlamaIndex connects to Knackly through Vinkius, your AI agent gets direct access to every tool listed below — spanning document-automation, template-assembly, legal-tech, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Add a new record
Get details for a specific record
List catalogs in a workspace
List models in a catalog
List records for a model
List automated documents
List configured webhooks
List Knackly workspaces
Connect Knackly to LlamaIndex via MCP
Follow these steps to wire Knackly into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
pip install llama-index-tools-mcp llama-index-llms-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use LlamaIndex with the Knackly MCP Server
LlamaIndex provides unique advantages when paired with Knackly through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Knackly tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Knackly tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Knackly, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Knackly tools were called, what data was returned, and how it influenced the final answer
Knackly + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Knackly MCP Server delivers measurable value.
Hybrid search: combine Knackly real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Knackly 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 Knackly for fresh data
Analytical workflows: chain Knackly queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for Knackly in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Knackly immediately.
"Show all apps and templates available for document generation."
"Generate an NDA for Acme Corp and show the required fields."
"Show document generation history for this month."
Troubleshooting Knackly MCP Server with LlamaIndex
Common issues when connecting Knackly to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpKnackly + LlamaIndex FAQ
Common questions about integrating Knackly MCP Server with LlamaIndex.