"React Router" matching MCP servers:

Enables LLM/MCP clients to read and, when explicitly allowed, modify TP-Link Archer AX53 router settings directly over the LAN using the router's own web protocol, without a browser or cloud account. It is read-first, write-gated, and lockout-aware, with tools for clients, DHCP, Wi-Fi, access control, presence history, and other router operations.

Screens text for PHI/PII, classifies it, redacts sensitive content, and routes it to approved model tiers based on a declarative policy, with built-in evaluation metrics.

A router MCP server that provides access to 62 MCPs behind a single connection, with load balancing, health checking, and EU AI Act compliance.

An allowlist-based MCP adapter that searches for local stdio MCP servers by command/task description and runs only the necessary servers.

Enables Claude Code to analyze images using multiple visual models (Kimi, OpenAI, etc.) and summarize results with DeepSeek. Supports dynamic switching of visual providers and handles both text and image inputs.

A minimal MCP server that enables searching through pre-scraped React documentation using a hybrid approach combining DuckDB full-text search and transformer-based reranking.

Enables intelligent access to React Native Godot documentation, examples, API references, and troubleshooting guides through searchable tools optimized for LLM workflows.

Exposes multimodal analysis tools (text search, image metadata/captions, audio features, video frame sampling) over a local media store via MCP, and includes an optional CrewAI Router/Specialist/Responder client that routes requests by modality.

8 standalone MCP servers for SMBs — Guardrails (prompt injection, PII, secrets detection), FinOps (AI cost tracking and budgets), Observability (agent tracing), Smart Router (17+ models, 9 providers), Trust Score (governance scoring 0-100), Memory (persistent agent memory), ThinkSecure (runtime security + SOC2/GDPR audit), and A2A Lite (agent-to-agent protocol). 37 tools total, TNC credits

A transparent, user-owned model router and orchestration control plane that enables AI workflow orchestration via an MCP server, with supervisor-based task decomposition and cross-provider routing.

Enables a production-grade MCP-native router and multi-agent control plane, letting agents plan tasks, route tool calls to the right MCP servers, stream every step, and persist results in memory.

An MCP server that lets an AI assistant manage your Keenetic router in plain language — list connected devices, pin static DHCP leases, rename devices, check WAN status, and reboot.

A self-hostable, open-source, semantically-searchable Agent Skills registry delivered over MCP, with a three-tier progressive disclosure architecture.

Snap Router turns an agent's plain-language task into a ranked shortlist of the x402 services and MCP tools that actually serve it, in one ~200ms pass over the merged x402 Bazaar + MCP Registry catalog (16k+ entries) — no LLM call, with a "works well with" hint. The same server also ships Pricing-Truth: request-time on-chain liquidity and price integrity for Base/Ethereum/Arbitrum tokens -truth

Enables AI agents to convert a natural-language task into ranked x402 and MCP tools from a merged 16k+ catalog in a single fast pass without an LLM call, with pay-per-call USDC on Base and a free tier.

An MCP proxy that embeds tool definitions and returns only the top-k semantically relevant tools per query, reducing context usage and routing calls to upstream MCP servers.

MCP server to manage and inspect a ZTE ZXHN F680 GPON router, enabling conversational control of NAT/port forwarding and reading WiFi, DHCP, DMZ, WAN, and device status from MCP-compatible clients.

Enables orchestrator agents to route coding tasks to native CLI worker agents via MCP, providing tools for agent discovery, task submission, waiting, inspection, and cancellation.

Enables comparing door-to-door travel times by bicycle, motorbike, and public transport alongside local weather, and provides place lookup and API usage tracking.

Enables an AI assistant to redact text and, more importantly, files without reading them, since file redaction and restoration happen locally and only counts are reported, keeping personal data out of the conversation. It exposes tools for redacting text, writing a redacted copy of a UTF-8 file with an owner-only restore mapping, and putting original values back offline.