"Understanding High-Level Control Systems" matching MCP servers:

Local, read-only MCP server that provides verified access to bounded.tools' signed static API, including the Web-Build Conformance report and SPDX SBOM, with byte-for-byte verification against a Sigstore-signed manifest.

Enables AI assistants to explore and interact with the Facets Control Plane API via natural language, supporting operations like searching endpoints, loading schemas, and making authenticated API calls.

Enables management of Facets Control Plane projects, resources, environments, and deployments through Claude, offering secure infrastructure automation workflows.

Enterprise AI governance layer for spend tracking, runtime guardrails, policy enforcement, and budget limits. Connects Claude, ChatGPT, and any MCP client to ThinkNEO's control plane for SOC2/GDPR/HIPAA compliance monitoring and real-time provider health.

Provides read-only access to query and retrieve information about devices, fleets, events, and configurations managed by Flight Control through a safe integration layer supporting filtering and selector-based queries.

An MCP server for the iNavi Maps API that gives AI assistants iNavi Maps API specifications and ready-to-use HTML templates for interactive map visualizations (geocoding, POI search, route planning).

Gateway connector between LLM agents and world data, providing access to financial market prices, macroeconomic indicators, and news through a bundled endpoint catalog.

Enables Claude Code to query codebase knowledge graphs directly, reducing token usage 5x–71x by reading a compact graph.json instead of raw files.

Content-addressed code graph that produces ranked context for AI agents in one call. 22 MCP tools across indexing, blast radius, test scope, semantic diff, runtime traffic, and feedback-aware context packing. Incremental updates via Merkle DAG (no re-indexing). GCF wire format saves 84% tokens vs JSON

Runtime decision firewall for AI agents that exposes the CSC engine as an MCP server, allowing agents to consult before executing risky actions.

Enables AI agents to store, search, and relate typed memories with a graph-native knowledge base via the Model Context Protocol.

Governs AI agent tool calls by checking them against Agentic Control Plane policies, returning allow/deny/ask decisions with audit logging and identity attribution for MCP clients like Claude and ChatGPT. Exposes acp_check and acp_status tools for policy enforcement and connection verification.

Enables AI assistants to search and retrieve security, privacy, and AI-governance controls from multiple compliance frameworks (e.g., NIST, HIPAA, OWASP) with cross-references, providing authoritative cited control text.

Enforces authorize-before-execute for any MCP-compatible AI agent. Exposes atlasent_evaluate and atlasent_verify_permit tools so a protected tool call only runs after AtlaSent issues and verifies a signed, single-use permit — fail-closed on any error, timeout, or malformed response.

MCP server that exposes high-level tooling for Cisco Secure Firewall Management Center (FMC), allowing discovery of FMC profiles and searching access rules by IP, FQDN, or identity indicators.

Provides secure, read-only semantic access to Home Assistant entities, areas, floors, and domain summaries for MCP clients like ChatGPT and Codex.

MCP server that provides semantic-level analysis of Swift codebases to AI agents by integrating with Apple's SourceKit-LSP, enabling compiler-grade code understanding and cross-file navigation.

Enables multi-model consensus decision-making for high-stakes AI decisions, using independent expert models and a judge to surface disagreements and ground decisions.

Browser automation that bypasses anti-bot systems and handles web-scraping with CDP Mode.

MCP server for ImageAPI AI that lets AI assistants generate high-resolution images, refine prompts for free, and inspect account credits directly in development workflows and chat sessions.