"Observable" matching MCP servers:

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.

A production-ready foundation for building secure, observable MCP servers with built-in authentication, rate limiting, and reference tools like database-query and semantic-search.

Behaviorlock is a deterministic compatibility gate for observable AI-agent behavior, enabling comparison of baseline and candidate traces to enforce declared behavior contracts.

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.

Enables MCP clients such as OpenCode, Claude Code, and Codex to control a real VS Code editor by opening files, visibly typing code, running terminal commands, reading diagnostics, and fixing errors through the VS Code API. It makes AI programming observable by applying real progressive edits and actions that are visible on screen.

A production-ready MCP server template with OAuth 2.1, RBAC, and audit logging for building secure, observable tool servers.

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.

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.

Provides bounded, observable access to graphical apps, browsers, terminals, Android devices, virtual machines, and SSH hosts through MCP tools, enabling safe automation and app QA.

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.