Linear MCP Server for LlamaIndexGive LlamaIndex instant access to 11 tools to Check Linear Status, Create Linear Comment, Create Linear Issue, and more
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Linear 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 Linear app connector for LlamaIndex is a standout in the Loved By Devs category — giving your AI agent 11 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 Linear. "
"You have 11 tools available."
),
)
response = await agent.run(
"What tools are available in Linear?"
)
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 Linear MCP Server
Connect your Linear workspace to any AI agent and take full control of your agile software delivery and high-fidelity issue orchestration through natural conversation.
LlamaIndex agents combine Linear tool responses with indexed documents for comprehensive, grounded answers. Connect 11 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
- Issue Portfolio Orchestration — List all active tickets, retrieve detailed high-fidelity metadata, and monitor delivery status programmatically
- Agile Execution Intelligence — Programmatically generate and update high-fidelity issues for specific teams directly through your agent
- Project & Cycle Monitoring — Access your complete directory of high-fidelity projects and active cycles to ensure perfectly coordinated development
- Resource Architecture — List team members and collaborators to understand and orchestrate your organizational structure programmatically
- Communication Stream Access — Programmatically add high-fidelity comments to specific issues to maintain perfect contextual alignment
- Operational Monitoring — Verify account-level API connectivity and monitor issue orchestration volume directly through your agent for perfectly coordinated service scaling
The Linear MCP Server exposes 11 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 11 Linear tools available for LlamaIndex
When LlamaIndex connects to Linear through Vinkius, your AI agent gets direct access to every tool listed below — spanning issue-tracking, agile, sprint-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.
Check API Status
Add a comment to an issue
Create a new issue
Get details for a specific issue
List active cycles
List Linear issues
List issue labels
List active projects
List workspace teams
List workspace members
Update an existing issue
Connect Linear to LlamaIndex via MCP
Follow these steps to wire Linear 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 Linear MCP Server
LlamaIndex provides unique advantages when paired with Linear through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Linear tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Linear tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Linear, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Linear tools were called, what data was returned, and how it influenced the final answer
Linear + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Linear MCP Server delivers measurable value.
Hybrid search: combine Linear real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Linear 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 Linear for fresh data
Analytical workflows: chain Linear queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for Linear in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Linear immediately.
"List all active issues and show their status."
"Create a new issue for the 'Frontend' team titled 'Implement Dashboard'."
"Check the team members in the 'Mobile' team."
Troubleshooting Linear MCP Server with LlamaIndex
Common issues when connecting Linear to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpLinear + LlamaIndex FAQ
Common questions about integrating Linear MCP Server with LlamaIndex.