mcpField
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LaunchChair

Local
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About LaunchChair

Plan, validate, and build products and features with LaunchChair

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
  "mcpServers": {
    "io-launchchair-agent": {
      "command": "npx",
      "args": [
        "-y",
        "@launchchair/agent"
      ],
      "env": {
        "LAUNCHCHAIR_AGENT_TOKEN": "<LAUNCHCHAIR_AGENT_TOKEN>"
      }
    }
  }
}
Run commandnpx -y @launchchair/agent
Environment variables to set
LAUNCHCHAIR_AGENT_TOKENSecretLaunchChair Agent API token from Settings > API Access.

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
npm@launchchair/agent0.4.10

Tools

10

Saved tool list · updated 2w ago

ParameterTypeRequiredDescription
namestringNo
oneLinerstringNo
startLoopbooleanNoIf true, LaunchChair immediately calls loop/continue after creation.
projectNamestringNo
projectTypeenumNob2b | b2c | both | free
ideaSnapshotobjectNoOptional first-bucket seed. Include problem, targetUser, solution, and optional jobToBeDone/whyNow.
ideaSnapshot.whyNowstringNo
ideaSnapshot.problemstringYes
ideaSnapshot.solutionstringYes
ideaSnapshot.targetUserstringYes
ideaSnapshot.jobToBeDonestringNo
ideaSnapshot.resetDownstreambooleanNo
stopPhaseKeystringNoOptional stop phase when startLoop is true.

Details

The maintainer has not added details yet. Check the README in the repository.

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.