dispatch-mcp
Allows dispatching units of work to GitHub repositories via allowlisted org-user/repo lanes. Provides tools for dispatching tasks, checking status, and retrieving results.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@dispatch-mcpdispatch unit to my-org/my-repo: run build"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
dispatch-mcp
dispatch-mcp is a small, security-constrained Model Context
Protocol server that exposes exactly one
capability as typed tools: dispatch a unit of work to an allowlisted
org-user/repo lane. It turns the "dispatch a task" call that previously lived
as ad-hoc shell out of a skill into constrained, audited tools.
The dispatch methodology — which tier to use, how to brief a lane, how to
verify the artifact — stays in the dispatch-lane skill. This server is only
the call, deliberately narrow so it can be exposed safely.
Tools
Tool | Purpose |
| Dispatch a unit of work to an allowlisted lane; returns a handle. |
| Structured status of a dispatched handle. |
| Structured result (exit code + detail) for a handle. |
| Every dispatch launched this session. |
Related MCP server: Super Shell MCP Server
Security model
This server is built so that exposing it does not expose arbitrary command execution. The properties below are enforced in code and covered by tests.
No arbitrary exec. There is no
run_shell/exectool. The only thing a caller can do is dispatch a unit of work; the command that runs is fixed by the server, never chosen by the caller.Allowlist, not free-form targets.
orguserandrepomust resolve against a config built from the.repos.jsonshape (orgs+repos). An unknown repo, an unknown org-user, or a repo not owned by the named org-user is rejected before anything runs. There is no wildcard.No shell injection. The
task_descriptionis passed to the dispatch command as a single argument-vector element (shell=False); it is data, never interpolated into a shell string. Shell metacharacters in it are inert.No embedded credentials. Nothing in this package stores a token or key. The org-user's identity (SSH key /
GH_TOKEN) is resolved by the runtime when the dispatch process runs as that user.Audit everything. Every dispatch appends a structured record (
who/what/when/handle/argv/outcome) to an audit sink.
Deliberate omissions
If a safe design was not feasible for some richer capability, the safe subset ships and the capability is omitted rather than adding an unsafe escape hatch:
No tool lets the caller supply or override the executed command.
No tool returns or accepts credentials.
Live status is reported from the server's in-session record; the durable record of a running lane lives in that lane's own state files (read those for authoritative long-lived status), not via a shell passthrough here.
Configuration (environment, resolved at call time)
Variable | Effect |
| Path to the allowlist ( |
| Host the fixed dispatch template targets. Default |
| Max iterations passed to the dispatch lane. Default |
| Seconds to wait for the dispatch command to return. Default |
No credentials are read from the environment by this server; identity is the runtime user's.
Install
Run directly from GitHub with the MCP extra:
uvx --from "git+https://github.com/selamy-labs/dispatch-mcp@v0.1.0#egg=dispatch-mcp[mcp]" dispatch-mcpOr with pipx:
pipx install "dispatch-mcp[mcp] @ git+https://github.com/selamy-labs/dispatch-mcp@v0.1.0"MCP client config
{
"mcpServers": {
"dispatch": {
"command": "uvx",
"args": [
"--from",
"git+https://github.com/selamy-labs/dispatch-mcp@v0.1.0#egg=dispatch-mcp[mcp]",
"dispatch-mcp"
],
"env": {
"DISPATCH_REPOS_JSON": "/home/you/.repos.json",
"DISPATCH_SSH_HOST": "localhost"
}
}
}
}Architecture
The dispatch logic lives once in dispatch_mcp.core.Dispatcher; the MCP server
in dispatch_mcp.mcp_server is a thin wrapper that serialises structured
results to JSON and maps expected failures to ToolError. All process execution
goes through an injected transport (dispatch_mcp.transport) that runs a
fixed argument vector with shell=False, and all timing through an injected
clock, so the full validate / template / audit path is exercised offline in
tests with a fake transport — no ssh, no tmux, no network. The default
SubprocessTransport uses only the standard library, so the core package has
zero runtime dependencies; the mcp SDK is an optional extra needed only to run
the server.
Development
python -m pip install -e ".[test]"
ruff format --check .
ruff check .
coverage run -m pytest
coverage report --fail-under=95License
MIT — see LICENSE.
This server cannot be installed
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