Data Sources Beginner

Linear MCP Integration

2 min read Updated May 19, 2026
Issues, projects, cycles, and team data from Linear, with cycle-level reporting and cross-team velocity built in.

Linear is the issue tracker for many engineering teams that prefer speed and keyboard-driven workflows. Connecting Linear to clariBI brings cycle-level reporting and cross-team velocity into your AI analyses.

Why connect Linear

Linear gives great in-product visibility but cross-team or cross-time-window questions usually require copying data out. clariBI through Linear answers those directly.

Ask "What is throughput per team this cycle?", "Which projects shipped last month?", or "Find stale issues older than 30 days" and the AI engine routes to the right Linear tool.

How the connection works

clariBI talks to Linear through its hosted MCP server at https://mcp.linear.app/sse. Authentication uses an OAuth flow that clariBI registers itself for (no developer console setup on your side). Tokens stay encrypted server-side and never leave clariBI in clear form.

sequenceDiagram
    actor U as You
    participant C as clariBI
    participant V as Linear
    U->>C: Click Authorize with Linear
    C->>V: Open OAuth authorization
    V-->>U: Grant read access?
    U->>V: Approve
    V-->>C: Authorization code
    C->>V: Exchange code for tokens
    V-->>C: Access + refresh tokens
    C->>C: Encrypt and store credentials
    C-->>U: Connection ready

Available tools

clariBI exposes the read-only Linear tools that the vendor's MCP server publishes at connection time. Write operations (create, update, delete, send, refund) are filtered out by a name-pattern blocklist before any tool reaches the analysis engine, so connecting Linear cannot modify data on the vendor side.

The exact tool inventory depends on the Linear features your account has access to. After connecting, try a few natural-language questions to see what Linear data clariBI can pull.

Data flow during analysis

When you ask a question that maps to Linear, the AI engine routes to the right tool, reads the result, and pairs the answer with a chart you can pin to a dashboard.

sequenceDiagram
    actor U as You
    participant C as clariBI
    participant AI as AI engine
    participant V as Linear
    U->>C: Ask a question about engineering issue and project data
    C->>AI: Plan the analysis
    AI->>V: Call the right tool
    V-->>AI: Tool result
    AI->>AI: Summarize and chart
    C-->>U: Answer plus visual

Setting up the connection

  1. Open Data Sources in the clariBI sidebar.
  2. Click Add data source.
  3. Open the MCP Servers tab.
  4. Click the Linear card.
  5. Click Authorize with Linear.
  6. Sign in to Linear in the popup window and grant the requested read scopes.
  7. Back in clariBI, give your data source a name.
  8. Click Finish.

Permissions and data access

clariBI requests the standard Linear read scope, which covers issues, projects, teams, cycles, and workflow states. No issues or comments can be created or modified. Disconnect from Linear settings or from clariBI Settings.

Troubleshooting

ErrorCauseFix
"Workspace switcher in popup is wrong"You are signed into multiple Linear workspaces.Sign out of unwanted workspaces in Linear, then reconnect.

Related articles

Related Articles

Data Sources Intermediate

Morningstar MCP Integration

Investment research, fund data, ratings, fair-value estimates, and 200,000+ global securities from …

5 min read
Data Sources Intermediate

Keboola MCP Integration

Data pipelines, transformations, tables, and project metadata from the Keboola data-platform — for …

5 min read
Data Sources Intermediate

Logfire (EU) MCP Integration

OpenTelemetry traces, metrics, and logs from Pydantic Logfire (EU region) — for EU-resident custome…

5 min read

Still Need Help?

Can't find what you're looking for? Our support team is here to help you succeed with clariBI.