"ImageJ" matching MCP servers:

A Model Context Protocol server that extracts images from URLs or base64 data and converts them into a format suitable for LLM analysis, allowing AI models to process and understand visual content.

Enables AI agents to analyze and understand images using OpenRouter's vision models. Supports screenshots, photos, diagrams, and web content with specialized tools for webpage and mobile app analysis.

Enables Codex to run image generation and inspection as durable, resumable local jobs whose media bytes stay behind the MCP boundary. Returns only bounded text handoffs, hashes, relative references, and Job IDs, optionally using an offline mock or the OpenAI Image/Responses APIs.

Exposes a fleet's agent services to AI agents: browsing the public agent directory, fetching AgentCards, managing deployer allowlists, pausing or resuming agents, and running A2A conversation turns under a dual-credential model (management tokens vs. caller keys).

Enables Codex to submit, poll, and retrieve bounded text handoffs for durable image-generation and image-inspection jobs while keeping provider-returned media bytes outside the MCP boundary.

A durable local MCP server that runs image generation and inspection as persisted jobs, keeping provider-returned media bytes behind the MCP boundary while returning only bounded text handoffs, hashes, relative references, and Job IDs. This keeps image-heavy Codex workflows context-bounded, idempotent, and resumable, with offline mock or optional OpenAI providers.

Enables Codex to run durable, context-bounded image generation and inspection jobs that return only bounded text handoffs, hashes, relative references, and Job IDs instead of media bytes. Supports idempotent submission, restart reconciliation, and optional OpenAI-backed generation and inspection.

Enables Codex to run image generation and inspection as persisted local jobs while keeping provider-returned media outside the MCP result, returning only bounded text handoffs, hashes, relative references, and job IDs.

Runs image generation and inspection as durable, idempotent local jobs that Codex submits and polls by Job ID, keeping provider-returned media bytes behind the MCP boundary. Returns only bounded text handoffs, hashes, and relative artifact references so image-heavy Codex workflows stay responsive, resumable, and context-bounded.

Enables Codex to run image generation and inspection as durable, resumable local jobs whose provider-returned media bytes stay behind the MCP boundary. Callers receive only bounded text handoffs, hashes, relative references, and Job IDs instead of pixels, keeping image-heavy workflows context-bounded.

Enables Codex to run context-bounded image generation and inspection as durable local jobs, returning only bounded text handoffs, hashes, relative references, and job IDs while keeping media bytes behind the MCP boundary.

Enables Codex to run image generation and inspection as durable, restart-reconcilable local jobs that keep provider-returned media behind the tool boundary and hand back only bounded text, hashes, relative references, and Job IDs. It also supports idempotent submission, job history, and an offline deterministic mock provider for validating transport and persistence behavior without spending API credits.

Runs image generation and inspection as durable, idempotent local jobs through bounded MCP tools, so Codex can create and analyze image-heavy assets without media bytes entering the task context. Returns only compact text handoffs, hashes, relative references, and Job IDs, with offline mock or opt-in OpenAI providers.

Enables Codex to submit text-to-image generation and image inspection as durable local jobs and retrieve bounded text results, hashes, relative references, and Job IDs without exposing provider-returned media bytes through MCP.

Enables Codex to run image generation and inspection as durable local jobs while keeping provider-returned media outside MCP results and returning only bounded text, hashes, relative references, and Job IDs.

Enables Codex to run image generation and inspection as durable, resumable local jobs while keeping provider-returned media bytes outside the MCP boundary. Returns only bounded text handoffs, hashes, relative artifact references, and Job IDs so image-heavy workflows stay context-bounded.

Enables Codex to run context-bounded image generation and inspection as durable local jobs, returning only bounded text handoffs, hashes, relative references, and Job IDs while keeping media bytes outside the task context.

Enables Codex workflows to submit context-bounded image generation and inspection as durable local jobs, keeping provider-returned media bytes outside the MCP result boundary and returning only bounded text handoffs, hashes, relative references, and Job IDs.

Enables Codex to run image generation and inspection as durable, restart-safe local jobs while keeping provider-returned media behind the tool boundary, returning only bounded text handoffs, hashes, relative artifact references, and Job IDs. This keeps image-heavy workflows context-bounded, resumable, and free of image bytes or base64 data in the public results.

Enables Codex workflows to run image generation and inspection as durable local jobs, keeping media bytes outside the public MCP boundary and returning bounded text handoffs, hashes, references, and Job IDs.