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Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault

No arguments

Instructions

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Capabilities

Features and capabilities supported by this server

Protocol revision2025-11-25

CapabilityDetails
tools
{}
prompts
{}

Tools

Functions exposed to the LLM to take actions

NameDescription
codex_runA

Delegate a task to the Codex CLI running as an external worker, using your existing Codex login (no API key). Model and reasoning effort are chosen per call and never inherited from global Codex config. Returns the worker's final result plus git-verified files_changed and scope_violations, and — unless skipped — a verification block holding the real output of the project's checks, which AgentBridge runs itself. One call = one attempt; AgentBridge never retries on its own.

antigravity_runA

Delegate a task to the Antigravity CLI (agy) running as an external worker, using your existing Antigravity login (no API key). The logical model name and effort tier are resolved against the installed CLI's live model list and are never silently substituted. Returns the worker's final result plus git-verified files_changed and scope_violations. One call = one attempt; AgentBridge never retries on its own.

bridge_statusA

Report AgentBridge health: version, project directory, whether git-based scope verification will work here, whether the Codex and Antigravity CLIs are installed, their versions and sign-in state, per-model availability (available | unavailable | unverified) and the efforts each model accepts, resolved Antigravity model ids, active jobs, and warnings. Consumes no model inference — availability comes from each CLI's own catalogue, and is reported as unverified rather than guessed when it cannot be established cheaply. Never returns credentials.

Prompts

Interactive templates invoked by user choice

NameDescription
agentbridgeSize a goal, plan it, delegate it across the AI CLIs you have installed, verify the result and report. The main entry point.
agentbridge_setupFirst run. Detect installed CLIs, prove each one works, interview the user, research their models, and write the routing profile.
agentbridge_statusRender bridge_status plainly: what is installed, signed in and available, and how the profile maps roles today. Costs no inference.
agentbridge_doctorDiagnose the installation with real smoke jobs rather than version probes, and say exactly what to fix.
agentbridge_profileShow the routing profile, explain why a role maps where it does, or re-derive a single role without redoing setup.
agentbridge_reconDelegate one bounded repository investigation and report the answer. No implementation, no batches.
agentbridge_reviewReview the working diff, or a named target, using a different model family than the one that wrote it.
agentbridge_resumeRead the run state and continue where a previous run stopped, without repeating finished work.

Resources

Contextual data attached and managed by the client

NameDescription

No resources

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