"How to create and edit edge functions on Supabase" matching MCP servers:

Enables LLM agents to launch or attach to a Microsoft Edge session and drive it through a four-tiered tool set spanning navigation, clicking, typing, and token-efficient accessibility-tree inspection. Also exposes raw Chrome DevTools Protocol calls for network interception, cookie manipulation, console and performance telemetry, and device emulation.

Provides LLM agents with read-only access to Cloudera Edge Flow Manager (EFM) for MiNiFi edge agents. Enables fleet health monitoring, flow inspection, and deployability validation through GET-only tools.

Enables interaction with Google Cloud services including billing cost analysis, log querying, and metrics monitoring through natural language commands. Provides comprehensive tools for managing GCP resources, analyzing costs, detecting anomalies, and retrieving operational insights.

Enables generating on-chain attestations of agent service performance across Ethereum, Polygon, Arbitrum, Optimism, and Base, plus audit trail retrieval, attestation verification, and price lock lookup.

Enables MCP clients to retrieve lab performance scores and field Core Web Vitals data for web pages via Google APIs.

MCP server that diagnoses ML model regressions by correlating drift reports, eval runs, and deploy logs, providing evidence-cited incident reports through a set of investigation tools.

Enables named, authenticated callers to run read-only introspection of a Google Cloud project and to read and write per-tenant notes that stay isolated between callers. Every request is scope-checked against a reviewed policy, rate-limited per caller, and audited without ever logging argument values.

Enables agents to fetch app reviews from Apple's App Store and Google Play per country store, newest first, filtered by date or star rating, with each scheduled run returning only reviews not seen before. It also returns a per-app, per-country rating trend row with the current rating, rating count, change since the last run, and the star split of new reviews.

A pre-action risk gate for AI agents. Your agent calls the forecast tool before any irreversible action — send email, run SQL, make a payment, delete a file — and gets a risk score (0–100) and a GO / CONFIRM / STOP verdict in a few seconds.

Checks MCP servers by URL, npm package, or official MCP Registry search, reporting availability, response speed, exposed tools, resources, and prompts. It flags changes since prior runs as breaking, warning, or info using saved snapshots.

MCP server for On-Call Health burnout analysis. Connects AI assistants to your on-call data for workload insights.

Enables local computer diagnostics by sampling CPU, memory, disk, and network activity and displaying the busiest processes in an interactive dashboard. It also supports human-confirmed process-stop proposals while keeping diagnostics local and bounded.

Exposes a synthetic issue tracker and pipeline warehouse as callable tools so an agent can answer operational questions about tickets, pipeline health, runs, incidents, and governed metrics with every claim cited to the exact tool call it came from. All writes are proposal-only, requiring human approval through a gated apply path that logs each step for audit.

A comprehensive MCP server providing advanced Redmine project analytics, web automation via Playwright, and iTunes music integration. It enables detailed tracking of sprint metrics, bug counts, and team performance through a token-optimized tool architecture.

Deploys 25 MCP tools for Apache Doris, enabling SQL execution, metadata queries, monitoring, and data governance over HTTPS via AWS Bedrock AgentCore Runtime.

Enables AI agents and users to manage workspace files, monitor system metrics, take persistent notes, and retrieve weather data via MCP tools and resources.

An unofficial MCP server that connects AI assistants to Akamai APIs, providing tools for edge diagnostics, debugging, and network analysis.

MCP Server for notify to telegram / weixin

Enables AI agents to create on-chain and web monitors, dead-man switches, cron triggers, and multi-agent coordination with pay-per-use x402 payments.

Multi-site analytics for AI agents — GA4, Google Search Console, Cloudflare edge, PageSpeed, and audit insights across all your websites as tools.

Enables Claude Code users to inventory the MCP servers, skills, commands, agents and plugins installed on their machine, estimate how many tokens each one adds to every request, and switch them off per project or globally, including across other AI coding tools. It also monitors live sessions to report real token usage and the savings achieved from disabled items.

Edge-deployed predictive decision engine and circuit-breaker orchestrator for AI agents. Features low-latency telemetry, automated failover routing, and Bitcoin Lightning micro-payments.

Enables MCP clients like Claude or Cursor to query Umami Analytics traffic, run v3 reports, create and manage websites, teams, and users through natural language while keeping credentials on the user's own machine.

Make AIs recommend your business. Measures how AI assistants answer the questions your market asks, which sources they cite, and gives the levers to shape those answers. 43 tools on a hosted Streamable HTTP endpoint at https://mcp.epovest.com/mcp

A decentralized, secure agent orchestration framework for monitoring and managing distributed edge servers, Docker hosts, and Kubernetes nodes via outbound SSH tunnels with zero inbound ports.

Enables an agent to launch or attach to a running application and profile startup phases, CPU, memory, memory bandwidth, GPU and network activity on one live timeline, capturing call stacks and hot functions. It then ties the measured hotspots to the user's own code and reports which interactions cost time or retain memory.

Enables automated review and analysis of network security controls (AWS Security Groups, Network ACLs) using natural language queries. Supports NSC configuration reviews, network segmentation testing, and identifying security gaps through conversational LLM interaction.

Lets you inspect the health of your AWS Lambda functions and S3 buckets using plain English, with read-only access.

Enables natural-language querying and analysis of AWS spending and model-invocation usage, including detailed breakdowns by service, region, account, day, and instance type.

Open-source MCP server for Claude AI that connects Stripe and Supabase to enable natural language SaaS analytics, including churn analysis, subscription tracking, and revenue insights.