Productive.io MCP Server for LlamaIndexGive LlamaIndex instant access to 12 tools to Create Task, Get Api Status, Get Org Settings, and more
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Productive.io 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 Productive.io app connector for LlamaIndex is a standout in the Industry Titans category — giving your AI agent 12 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 Productive.io. "
"You have 12 tools available."
),
)
response = await agent.run(
"What tools are available in Productive.io?"
)
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 Productive.io MCP Server
Connect your Productive.io account to any AI agent and take full control of your agency orchestration and project profitability through natural conversation. Productive is the premier platform for professional services automation, and this integration allows you to retrieve project metadata, monitor task statuses, and analyze financial budgets directly from your chat interface.
LlamaIndex agents combine Productive.io tool responses with indexed documents for comprehensive, grounded answers. Connect 12 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
- Project & Workflow Orchestration — List all managed projects and retrieve detailed metadata programmatically to ensure your team's delivery is always synchronized.
- Task & Resource Lifecycle Management — Access and monitor project tasks and retrieve detailed status metadata including assignees and deadlines directly from the AI interface.
- Financial & Budget Intelligence — Access project budgets and monitor sales deals via natural language to maintain a clear overview of organizational profitability.
- CRM & Client Control — List companies and search through your client database to stay informed about partner relationships using simple AI commands.
- Operational Monitoring — Track time logs, retrieve financial invoices, and manage organization metadata to ensure your agency is always optimized.
The Productive.io MCP Server exposes 12 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 12 Productive.io tools available for LlamaIndex
When LlamaIndex connects to Productive.io through Vinkius, your AI agent gets direct access to every tool listed below — spanning agency-management, time-tracking, resource-planning, 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 new task
Check connection
Get organization info
Get project info
List financial invoices
List team members
List all projects
List organizations
List active budgets
List tasks
List open deals
List work logs
Connect Productive.io to LlamaIndex via MCP
Follow these steps to wire Productive.io 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 Productive.io MCP Server
LlamaIndex provides unique advantages when paired with Productive.io through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Productive.io tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Productive.io tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Productive.io, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Productive.io tools were called, what data was returned, and how it influenced the final answer
Productive.io + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Productive.io MCP Server delivers measurable value.
Hybrid search: combine Productive.io real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Productive.io 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 Productive.io for fresh data
Analytical workflows: chain Productive.io queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for Productive.io in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Productive.io immediately.
"List all active projects in Productive.io."
"Show me the profitability analysis for all active projects with budget vs actual comparison."
"Log 6 hours of design work on the Brand Strategy project for today."
Troubleshooting Productive.io MCP Server with LlamaIndex
Common issues when connecting Productive.io to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpProductive.io + LlamaIndex FAQ
Common questions about integrating Productive.io MCP Server with LlamaIndex.