Runn MCP Server

Standalone MCP server for the Runn API with simple reporting helpers.

Local serverstdioPython

What is the Runn MCP server?

Runn MCP server exists for a simple reason — assistants are far more useful when they can act on Runn directly instead of describing what you should do. Standalone MCP server for the Runn API with simple reporting helpers.

What the assistant can call

Once Runn is connected, these are the calls the assistant has available:

  • list_projects — returns {id, name} pairs
  • list_people — returns {id, name, email} by default (set full=true for raw objects)
  • billable_hours — aggregates billable hours grouped by project/person/month
  • list_clients — list clients (raw API objects)
  • list_assignments — list assignments (raw API objects)
  • list_assignments_by_person — assignments for a person, optional date range
  • list_assignments_by_project — assignments for a project, optional date range
  • list_assignments_by_role — assignments for a role, optional date range
  • list_assignments_by_team — assignments for a team’s people, optional date range
  • list_actuals — list actuals (raw API objects)
  • list_actuals_by_date_range — actuals in a date range, optional person/project filters
  • list_actuals_by_person — actuals for a person, optional date range

Configuration and credentials

You will need 2 environment variables: RUNN_API_KEY, YOUR_API_KEY. The server will not start without them, which is usually why the tools fail to appear on a first run. Keep credentials in your client's env block or a secrets manager rather than in a file you might commit.

  • Python 3.10+ - Runn API key (RUNN_API_KEY)

Setting it up

reportlab on PyPI is all you need. Most clients run it directly, so configuration is a few lines and a restart.

Choosing this one

Plenty of team communication servers cover similar ground. The differences that matter in practice are scope of access and how much setup stands between you and a working tool call. Runn's toolset — list_projects, list_people, billable_hours and 11 more — is a fair guide to whether it matches your workflow. It is maintained by gemini2026; worth a glance at recent repository activity before you build anything load-bearing on it.

We check each listing at SyncDev against the project's documentation before it goes live — if something here drifts out of date, it is a bug worth reporting.

Before you rely on it

  • It runs with your machine's permissions. That is convenient and also the reason to think about what you point it at before you approve a tool call.
  • With 14 tools registered it takes up a noticeable share of the context window; turn it off in projects that never touch Runn.
  • Missing credentials fail quietly in some clients — if no tools show up, check the environment block first.
  • MCP clients confirm each tool call by default. Leave that on until you have watched what the runn mcp server does with a few real requests.

Available tools

ToolWhat it does
list_projectsreturns {id, name} pairs.
list_peoplereturns {id, name, email} by default (set full=true for raw objects).
billable_hoursaggregates billable hours grouped by project/person/month.
list_clientslist clients (raw API objects).
list_assignmentslist assignments (raw API objects).
list_assignments_by_personassignments for a person, optional date range.
list_assignments_by_projectassignments for a project, optional date range.
list_assignments_by_roleassignments for a role, optional date range.
list_assignments_by_teamassignments for a team’s people, optional date range.
list_actualslist actuals (raw API objects).
list_actuals_by_date_rangeactuals in a date range, optional person/project filters.
list_actuals_by_personactuals for a person, optional date range.
list_actuals_by_projectactuals for a project, optional date range.
list_actuals_by_roleactuals for a role, optional date range.

How to install the Runn MCP server

{
  "mcpServers": {
    "runn": {
      "command": "/path/to/python3",
      "args": [
        "/path/to/mcp_runn_server.py",
        "--transport",
        "stdio"
      ],
      "env": {
        "RUNN_API_KEY": "<YOUR_API_KEY>"
      }
    }
  }
}

Configuration as documented by the project. Restart the client after saving.

Configuration

  • Python 3.10+ - Runn API key (RUNN_API_KEY)
VariableDescriptionRequired
RUNN_API_KEYCredential the server authenticates with.Yes
YOUR_API_KEYCredential the server authenticates with.Yes

Example prompts to try

  • Use Runn to list projects.
  • Use Runn to list people.
  • Use Runn to billable hours.

Frequently asked questions

It connects Runn to MCP-compatible AI assistants such as Claude and Cursor, exposing 14 tools (list_projects, list_people, billable_hours, and more) that the assistant can call on your behalf. Instead of copying data back and forth by hand, the assistant works with Runn directly.