"The Guardian" matching MCP servers:

MCP server for controlling satellite ground station operations in the Trench simulation, including pass management, downlink control, and antenna pointing.

A self-hosted decision engine that sits between an AI agent and blockchain execution. Agents submit a proposed action, Guardian returns an explainable ALLOW / WARN / BLOCK before anything gets signed or broadcast.

Security, cost, and health governance proxy for MCP infrastructure. Enforces YAML-configurable security policies (blocklists, rate limits, token budgets), tracks real token costs via tiktoken, monitors server health with live JSON-RPC probes. Features OAuth 2.1/OIDC with RBAC, web dashboard, payload normalization, semantic shell AST analysis, mTLS, and a formal STRIDE threat model.

Scans generated JavaScript/TypeScript code to detect AI-hallucinated or suspicious npm package imports before installation, providing a verdict of CLEAN, REVIEW, or BLOCK.

Audits npm packages for supply-chain attacks (typosquatting, malicious install scripts, credential exfiltration) before installation, returning a SAFE/SUSPICIOUS/DANGEROUS verdict.

Enables AI agents to propose stock, ETF, and crypto trades through Alpaca paper trading while enforcing deterministic policy rules and recording every decision in an audit trail.

Enables governed execution of Alexa+ MCP workflows where agents can propose actions but consequential side effects require separate human approval, producing verifiable execution receipts.

Audits your package-lock.json for supply-chain attacks before install. Cross-checks every resolved entry against the live npm registry to detect integrity mismatches, new install scripts, and other malicious signals.

Search, browse, and retrieve full article text from The Guardian's journalism archive (1999–present) via MCP with three tools.

Security layer for AI agents that evaluates transaction intents and returns verdicts (ALLOW/WARN/DENY) using deterministic rules, on-chain checks, and simulation.

Enables Alexa+ to collect recent security and IoT context, reason locally, prepare bounded physical actions for explicit approval, execute them through adapters, and return verified evidence in real time.

The open-source, self-organizing memory for all your AI tools. Persistent memory over MCP (remember, recall, observe): background agents extract entities, resolve conflicts, and keep cited syntheses current in an append-only, encrypted, single-tenant vault.

Checks whether ChatGPT, Perplexity, and Gemini cite your brand for a given keyword, and who's winning the citation battle for it instead.

Checks live x402 routes across Base, Solana, and Algorand before agents spend. $0.003 USDC settles only for a valid live eligible route; normal typed misses are not settled. Free preview and validate tools. Seller payment is separate; the agent keeps its wallet. Optional signed route-binding receipts support buyer-side checks.

An MCP server that records agent execution metrics and exposes a Context Window Explorer to visualize exactly what entered the model's context window across sessions, tokens, and tool calls.

Provides cryptographically signed, tamper-evident compute usage receipts via a Model Context Protocol server, exposing tools to record usage, verify receipts, list the ledger, and verify ledger integrity without requiring any account, API key, or single cloud provider.

Enables structured company-news briefs and sector-wide market-signal sweeps via the Perplexity Sonar API, returning fixed-section briefs and JSON-schema-constrained signal arrays with citations.

Source-backed hardware end-of-life (EOL/EOSL) lookups by part number for enterprise gear — support status, end-of-sale and end-of-support dates, with the vendor's own bulletin URL on every answer. Unknown parts return found:false, never a guess.

Hardened MCP bridge to the full Ollama ecosystem — local and cloud models. 6 tools covering health, model management, chat, and generation with SSRF mitigation, singleton HTTP client, and structured error handling. Two deps, one file.

Enables AI agents to drive the 1C:Enterprise test client directly, opening forms, reading and modifying data, working with tables, and recording or replaying action scenarios. Connects to local or remote test clients over their network protocol without a testing manager.