Docdown 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 Docdown 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 Docdown. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Docdown?"
)
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 Docdown MCP Server
Integrate Docdown, the efficient document generation and automation platform, directly into your AI workflow. Manage your document templates, generate new PDF or Word files from JSON data, and track your generated output using natural language.
LlamaIndex agents combine Docdown 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
- Template Oversight — List and retrieve detailed information and field schemas for all your document templates.
- Document Generation — Trigger the document generation engine to create new files instantly using provided data fields.
- Output Tracking — Monitor generated documents, including their current status and secure download URLs.
- Field Intelligence — Identify exactly which data points are required to populate specific templates accurately.
The Docdown 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 Docdown to LlamaIndex via MCP
Follow these steps to integrate the Docdown 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 Docdown
Why Use LlamaIndex with the Docdown MCP Server
LlamaIndex provides unique advantages when paired with Docdown through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Docdown tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Docdown tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Docdown, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Docdown tools were called, what data was returned, and how it influenced the final answer
Docdown + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Docdown MCP Server delivers measurable value.
Hybrid search: combine Docdown real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Docdown 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 Docdown for fresh data
Analytical workflows: chain Docdown queries with LlamaIndex's data connectors to build multi-source analytical reports
Docdown MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Docdown to LlamaIndex via MCP:
generate_new_document
Generate a new document using a specific template and data object
get_docdown_account_metadata
Retrieve metadata and usage limits for your Docdown account
get_document_status
Get the current status and download URL for a specific document
get_template_details
Get detailed information and field schema for a specific template
get_template_field_schema
Identify exactly which fields are required to populate a template
list_doc_templates
List all available document templates in your Docdown account
list_generated_documents
List all documents that have been generated from templates
list_published_templates
Identify templates that are currently in a "Published" status
list_recently_generated_docs
Identify documents that have been generated in the last 24 hours
search_templates_by_name
Search for a document template using a name keyword
Example Prompts for Docdown in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Docdown immediately.
"List all available document templates."
"Generate a new 'Customer Invoice' with data: {'name': 'John Doe', 'amount': 150}."
"Show me the status of document 'DOC-12345'."
Troubleshooting Docdown MCP Server with LlamaIndex
Common issues when connecting Docdown to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpDocdown + LlamaIndex FAQ
Common questions about integrating Docdown 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 Docdown 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 Docdown to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.