Leiga MCP Server for LlamaIndexGive LlamaIndex instant access to 8 tools to Create Task, Get Project Details, Get Task Details, and more
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Leiga 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 Leiga 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 Leiga. "
"You have 8 tools available."
),
)
response = await agent.run(
"What tools are available in Leiga?"
)
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 Leiga MCP Server
Connect your Leiga account to any AI agent and manage projects through natural conversation.
LlamaIndex agents combine Leiga 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
- Project Management — List projects, inspect details, and track progress
- Task Tracking — Create, update, move, and assign tasks
- Sprint Management — Browse sprints with capacity and velocity data
- Team Workload — Monitor team member assignments and availability
The Leiga 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 Leiga tools available for LlamaIndex
When LlamaIndex connects to Leiga through Vinkius, your AI agent gets direct access to every tool listed below — spanning agile-management, sprint-planning, task-tracking, 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 task
Get details for a specific project
Get details for a specific task
List configured teams
List Leiga projects
Optionally filter by project ID. List tasks
List team users
List automated workflows
Connect Leiga to LlamaIndex via MCP
Follow these steps to wire Leiga 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 Leiga MCP Server
LlamaIndex provides unique advantages when paired with Leiga through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Leiga tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Leiga tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Leiga, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Leiga tools were called, what data was returned, and how it influenced the final answer
Leiga + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Leiga MCP Server delivers measurable value.
Hybrid search: combine Leiga real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Leiga 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 Leiga for fresh data
Analytical workflows: chain Leiga queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for Leiga in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Leiga immediately.
"Show all projects and the current sprint status."
"Create a task 'Fix auth bug' and show team workload."
"Show sprint velocity trends and blocked tasks."
Troubleshooting Leiga MCP Server with LlamaIndex
Common issues when connecting Leiga to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpLeiga + LlamaIndex FAQ
Common questions about integrating Leiga MCP Server with LlamaIndex.