"Connecting Feishu (Lark)" matching MCP servers:

MCP Server for notify to telegram / weixin

Enables monitoring of Ubuntu system metrics, Docker containers, and public IP drift, with Feishu alerting and HTTP/MCP tools for querying status, viewing history, and restarting containers.

Monitors and analyzes GitHub repository activity (stars, commits, issues) with automated reporting. Supports AI-powered trend analysis and automatic notifications to Feishu (Lark) messaging platform.

A minimal, security-focused MCP gateway for connecting ChatGPT to AWS account data through explicit, read-only tools.

Exposes digital twin device data capabilities as MCP tools, allowing MCP clients to query device status, read real-time metrics, fetch time-series data, and check alerts. Includes a simulated PLC driver with a clean interface for connecting real devices via OPC-UA, Modbus, or gateway APIs.

A local, detection-first Windows MCP server that groups Device Manager interfaces into physical devices, provides explanations, and enables read-only inspection and update auditing without modifying any devices or drivers.

An MCP server connecting Claude AI with game engine runtimes (Unity & Godot) for automated testing, log filtering, and scene hierarchy inspection.

Enables AI assistants to autonomously investigate and manage Sophos Channel Server incidents by connecting via SSH, checking Zabbix alerts, searching Jira, pattern matching known root causes, and creating LINFRA tickets.

MCP server for connecting LLMs to Itential Platform, enabling network automation, workflow orchestration, and platform monitoring.

Enables debugging of web applications by connecting Claude to Chrome's developer tools through MCP, allowing network monitoring, console inspection, and performance analysis via natural language.

Enables enterprise agent fleets to register workers, dispatch tasks by capability, monitor continuous heartbeat telemetry, trip automated circuit breakers, and recover from checkpointed state through a zero-dependency MCP server.

Enables an AI assistant to set up and manage server-side conversion tracking by connecting ad platforms like Google Ads, Meta, and GA4, building and publishing conversion flows that fire when forms are submitted, installing tracking snippets, and reviewing conversion events. It also supports diagnosing missing conversions and excluding internal traffic, all through a hosted connector authorized against the user's own account.

Enables statistical forecasting and anomaly detection over numerical time-series data using Holt linear smoothing, multi-step projections, and variance-based confidence bands.

A read-only MCP server for the Auralogs logging platform, enabling AI agents to query production logs, search errors, and retrieve AI analyses without write access. It allows you to ask your coding assistant 'what's broken in production right now?' by connecting to your logs via a simple bearer auth key.

Enables connecting your service to the LAF bot by providing a minimal MCP server that reports critical signals and additional risk-annotated tools, with built-in submission checks and CI.

Enables inference engines to match longest common prompt token prefixes via a radix trie, so cached KV-cache blocks are reused instead of re-prefilled. This eliminates redundant prefill computation and lowers time-to-first-token, alongside paged attention allocation, speculative decoding verification, INT8 quantization, and latency telemetry.

Enables autonomous agent runtime diagnostics and self-healing by detecting configuration drift, corrupted execution state, and missing runtime resources, then classifying root causes and executing snapshot rollback.

Enables MCP clients to route tool calls through a security gateway instead of connecting directly to tool servers, pinning tool definitions by hash, hiding poisoned descriptions, scanning every call and result, and withholding image, audio, and binary blocks.

Enables real-time sliding-window token velocity anomaly detection and adaptive rate-limiting through a native STDIO MCP server built entirely on the Python standard library. Exposes deterministic algorithmic checks that report anomalies and throttle behavior as JSON tool results for MCP clients such as Claude Desktop, Cursor, and Antigravity.

Enables agents to guard external API calls with circuit-breaker health checks, success/failure reporting, and recovery state inspection, including exponential backoff with jitter and fail-fast rejection.

Enables autonomous agents to transform raw telemetry, system metrics, and departmental status updates into leadership-ready decision briefs, KPI watchpoint summaries, strategic signal extraction, and actionable mitigation recommendations.

Enables AI-powered security investigation and threat analysis by connecting MCP-compatible clients to Uptycs Juno.

Enables monitoring of distributed autonomous agent nodes through heartbeat ingestion, jitter-aware liveness checks, zombie/stalled worker isolation, and coordinated checkpoint hydration and failover rerouting.

Enables monitoring of running agent loops with token and monetary cost estimation, pruning of verbose thinking chains near limits, and routing sub-tasks between fast/cheap and deep reasoning models. It provides deterministic, MCP-compatible budget optimization for autonomous agents and copilot frameworks.

Enables AI agents to locate and track smart cordless tools, program torque and speed profiles, fetch telematics, and remotely lock or unlock tools based on jobsite geofences.

Enables end-to-end profiling of conversational voice agent latency, tracking VAD, STT, LLM-TTFT, TTS-TTFB, and playout bottlenecks to identify pipeline delays.

Enables monitoring and governing distributed multi-agent fleets through MCP by evaluating token burn velocity, recursive spawning depth, and cyclic deadlocks, then triggering circuit-breaker and kill-switch containment policies with auditable tokens.

Enables AI-driven incident response by connecting Claude to monitoring tools like Prometheus, Grafana, Loki, PagerDuty, and Slack for automated investigation and runbook generation.

Monitors robotic joint actuator thermal and torque loads, triggering preventative throttling for DJI/Robomaster hardware and enabling real-time actuator safety supervision through MCP.