Workast MCP Server for LlamaIndexGive LlamaIndex instant access to 12 tools to Create Space, Create Task, Delete Task, and more
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Workast 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 Workast 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 Workast. "
"You have 12 tools available."
),
)
response = await agent.run(
"What tools are available in Workast?"
)
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 Workast MCP Server
Connect your Workast account to any AI agent to streamline your project management and task automation. Workast provides a powerful platform for organizing team workflows, tracking deadlines, and managing project backlogs directly within your existing communication tools.
LlamaIndex agents combine Workast 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 & Space Orchestration — Organize your work using Spaces to group related task lists and projects for different teams.
- Task Lifecycle Management — Create, list, and update tasks with due dates, priorities, and detailed descriptions.
- Team Coordination — List and manage team members to assign responsibilities and monitor project progress programmatically.
- Metadata Synchronization — Access team-wide metadata and user profiles to keep your AI workflows aligned with your organization.
- Real-time Status Updates — Use natural language to get instant summaries of active spaces and task completion statuses.
The Workast 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 Workast tools available for LlamaIndex
When LlamaIndex connects to Workast through Vinkius, your AI agent gets direct access to every tool listed below — spanning task-tracking, workflow-automation, team-collaboration, 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.
Create a new space
Create a new task
Delete a task
Get my profile
Get space details
Get task details
Get team details
Get user details
List all Workast spaces
List tasks in a space
List team users
Update a task
Connect Workast to LlamaIndex via MCP
Follow these steps to wire Workast 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 Workast MCP Server
LlamaIndex provides unique advantages when paired with Workast through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Workast tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Workast tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Workast, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Workast tools were called, what data was returned, and how it influenced the final answer
Workast + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Workast MCP Server delivers measurable value.
Hybrid search: combine Workast real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Workast 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 Workast for fresh data
Analytical workflows: chain Workast queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for Workast in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Workast immediately.
"List all active spaces in my Workast account."
"Show me the tasks currently in the 'Design Team' space."
Troubleshooting Workast MCP Server with LlamaIndex
Common issues when connecting Workast to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpWorkast + LlamaIndex FAQ
Common questions about integrating Workast MCP Server with LlamaIndex.