"Observable" matching MCP servers:

A local, auditable multi-model workflow engine that lets you define YAML graphs for orchestrating LLM agents across vendors, with MCP tools for validation, dry-runs, execution, and human approval, all fully observable in a local web interface.

An MCP server for the Cortex observable analysis and active response engine. It enables LLMs to automate security investigations by running analyzers on observables like IPs and URLs and executing automated response actions.

Enables structured learning with a verified loop: define goals as observable claims, learn through teach-lab-test-gate per claim, and get independently graded by an adversarial examiner to ensure genuine progress.

An MCP bridge that lets Codex delegate long-running agent work to the Antigravity CLI, providing observable and resumable tool-based execution with project scoping.

Enables autonomous software development by managing requirements, architecture, task dependency DAGs, isolated worker workspaces, execution, contract and integration verification, and checkpoints. It provides observable evidence gates so AI workers can build and verify software against reproducible contracts.

Provides external AI agents with reliable, observable tools to inspect, navigate, and act in a Minecraft world, enabling autonomous playthroughs such as beating the game.

An observable autonomy harness for AI coding agents that enables long task execution without drift or cheating, while recording all actions for cost and quality steering.

Enables orchestration of MCP tool calls through declarative YAML-defined directed graphs with data transformation, conditional routing, and observable execution flows.

An MCP server that checks whether the world changed after a tool call by declaring observable outcomes, verifying them with read-only verifiers, and keeping hash-chained receipts.

Enables AI agents to run durable, isolated, and observable browser automation tasks via Playwright, with persistent profiles, recovery, evidence capture, and unattended execution for long-running web workflows.

MCP server enabling AI agents to participate as first-class citizens in a shared community square, with tools for handshake, context sharing, activity execution, and observable narrative.

Enables multi-agent orchestration of digital IC design flows (DFT, synthesis, APR, STA, PV, IREM, thermal, SIPI) through natural language by integrating heterogeneous EDA tools into a unified, secure, and observable API space with per-agent knowledge bases and decision traceability.