Bring Issue Tracking
to LangChain
Learn how to connect Linear to LangChain and start using 11 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
What is the 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.
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
How it works
1. Subscribe to this server
2. Retrieve your Personal API Key from your Linear account (Settings > API)
3. Start managing your agile growth from Claude, Cursor, or any MCP client
No more manual status updates or missing project gaps. Your AI acts as your dedicated project coordinator and agile architect.
Who is this for?
- Software Engineers — instantly retrieve issue lists and update ticket statuses using natural language commands without leaving your creative workspace
- Product Managers — monitor high-fidelity project progress and team utilization to ensure healthy software delivery
- DevOps Leads — verify technical issue logs and team assignments to optimize resource allocation through simple AI queries
Built-in capabilities (11)
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
Why LangChain?
LangChain's ecosystem of 500+ components combines seamlessly with Linear through native MCP adapters. Connect 11 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
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The largest ecosystem of integrations, chains, and agents. combine Linear MCP tools with 500+ LangChain components
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Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
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LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
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Memory and conversation persistence let agents maintain context across Linear queries for multi-turn workflows
Linear in LangChain
Linear and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect Linear to LangChain through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 3,400+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Linear in LangChain
The Linear 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. All 11 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in LangChain only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* 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
How Vinkius secures
Linear for LangChain
Every tool call from LangChain to the Linear MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
How do I find my Linear Personal API Key?
Log in to your account, navigate to Settings > API, and generate a new high-fidelity Personal API Key.
Can I check project progress via AI?
Yes! The get_linear_project tool allows your agent to retrieve high-fidelity progress metrics and health data for any specific project.
How do I list my active cycles?
Use the list_linear_cycles tool to retrieve the complete high-fidelity directory of cycles along with their technical status and progress metrics.
How does LangChain connect to MCP servers?
Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.
Which LangChain agent types work with MCP?
All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.
Can I trace MCP tool calls in LangSmith?
Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.
MultiServerMCPClient not found
Install: pip install langchain-mcp-adapters