"Accessing Your Supabase Projects Dashboard" matching MCP servers:

Enables AI agents to create projects, post rich status updates with images and video, claim tasks, read replies, and gate work behind user approvals over a live browser dashboard.

Enables clients to retrieve structured work briefings and item details, analyze blockers, and submit next-action proposals through streamable HTTP tools backed by Amazon Bedrock conversations. Supports human-confirmed approval or cancellation while preserving revisions, decision histories, and safe reuse or invalidation of pending proposals.

Lets an AI agent work inside Claude Code Projects by remote-controlling the real Claude desktop app on a headless Linux display: listing projects, reading threads and their status, sending or forwarding messages and attachments, and approving permission cards. Read and write tools each expose a dry run, with a plain-text policy file governing what the agent may do autonomously.

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.

Connects AI agents and MCP clients to Supabase Management operations through a single PipMCP API key, enabling project and organization discovery, hosted tool schema inspection, and policy-governed execution with approval-aware actions.

Enables AI agents and MCP clients to discover and execute hosted project-management tools through one PipMCP API key, including reading work items and applying explicitly approved changes under policy controls.

Let AI agents act for a person on websites, with the person's approval on their phone. The agent's browser runs in a sandboxed vault it cannot read into; when a site asks for a password, CAPTCHA or 2FA, the owner takes over from their phone.

A deployable MCP server on Cloudflare Workers that allows you to create custom AI tools without requiring authentication.

A Model Context Protocol (MCP) server that provides persistent memory and context management for AI systems through a structured 5-phase optimization workflow.

A tool that allows deployment of a remote MCP (Model Context Protocol) server on Cloudflare Workers without authentication requirements, enabling connection to AI models through Claude Desktop or Cloudflare AI Playground.

Manages and dispatches multiple MCP servers from a cloud dashboard, reducing tool-context bloat by loading only the most relevant servers for a given task.

Agent-native hosting: your agent deploys any folder to a live URL in one command — no account, no dashboard, no CAPTCHA — and hands the human a link plus a plain-language summary. Full deploy lifecycle as MCP tools (deploy, verify, logs, inspect, rollback), production approval human-only; static sites and full Node.js apps, open source (Apache-2.0).

MCP server that connects AI assistants to Leapd, enabling them to launch and manage an AI-run business by creating tasks, deploying sites, and accessing business documents.

Local-first shared memory and coordination layer for AI coding agents, with repository evidence, reservations, handoffs, code graph context, and dashboard review backed by PostgreSQL/pgvector.

Give anything on your machine a public HTTPS link — live from your computer, or hosted by serve.

Semantic tool-routing gateway for MCP servers that cuts 70-90% of context tokens, with RBAC, API-key auth, response caching, hot-reload config, and a real-time observability dashboard.

Let's your agent access the heroku platform

Enables coding agents to discover, message, poll, cancel, and register remote A2A agents via MCP, with an optional read-only local activity dashboard.

Run local AI across all your computers. Toskar's MCP server lets Claude, Cursor, and other clients ask your own local models and search your connected knowledge, with nothing leaving your machines.

MCP server for multi-agent AI systems providing mailbox messaging, A2A task delegation, resource coordination, and a web dashboard.

۩ Plan your projects with THC! MLLM planning harness for Software Engineering, modifiable for other purposes, released as an MCP server. Bring your own API keys. Open-Source now, my dear! :D

Enables Grok CLI to control your already-running Brave browser via Chrome DevTools Protocol, allowing tab management, clicking, typing, navigation, and screenshots using your existing session and logins.

Automate your browser with AI using your existing profile, enabling logged-in sessions and stealth automation.

Enables AI agents, including Claude, to interact with the AETERNA persistent world, leaving traces, sharing knowledge, and accessing world state and token economy.

Provides a centralized MCP-based system for managing and accessing multi-project memory banks remotely, with features like project isolation, file structure validation, and type-safe operations.

Enables AI assistants to intelligently select and switch between different AI models (OpenAI, Anthropic, etc.) within the same conversation based on task requirements. Provides a unified interface for accessing multiple AI providers through a single MCP tool.

Enables AI assistants to interact with the Apify platform to manage actors, monitor runs, and retrieve scraped data from datasets. It supports natural language commands for executing web scrapers, managing tasks, and accessing key-value stores.

An alpha-stage MCP control plane for local MCP stacks, enabling discovery of local servers, profile management, capability bundles, tool-list probes, and a local dashboard.

Wraps opencode CLI's HTTP API into MCP tools for agent run, session management, and server status, plus a fleet webapp dashboard.

Domain-Driven MCP server for ed-tech workflows, exposing validated MCP tools backed by LangGraph agents, Supabase document retrieval, web search, and YouTube video discovery.

A local stdio MCP server that drives your Chrome browser through the Asklear extension, offering six browser tools for navigation, observation, clicking, filling, scrolling, and extraction — all operations remain on your machine.

Multi-MCP orchestration hub connecting GHL, Stripe, Shopify, Supabase, and more through a single AI interface, enabling workflow automation and CRM management.

Provides MCP (Model Control Protocol) tools for accessing and interacting with Google Chat spaces and messages through OAuth2 authentication.

A powerful gateway for the Model Context Protocol (MCP) that unifies AI toolchains by federating multiple MCP servers, wrapping REST APIs as MCP tools, and supporting multiple transport methods with an admin dashboard.

Transform your Make scenarios into callable tools for AI assistants. Leverage your existing automation workflows while enabling AI systems to trigger and interact with them seamlessly.

A control plane for AI agents and human supervisors. Persistent task registry with scoped permissions, inter-agent delegation, and full provenance — all accessible via MCP. Deploy on Supabase free tier in 3 commands.

Projects an Agent Surface (deterministic call graph) for any OpenAPI, enabling LLM agents to make correct, chain-of-calls interactions without guessing.

The Azure MCP Server, bringing the power of Azure to your agents.

Enables managing site signal strength, brand agent, pixel, boosts, and accessing leaderboards, agent traffic stats, and AgentHub listings via natural language.

MCP-native agent-to-agent messaging hub for AI swarms. Agents communicate via channels and DMs through MCP protocol — zero SDKs needed. Includes web UI, semantic search, analytics dashboard. Single Go binary, local-first.