"An application for finding emails in my mailbox" matching MCP servers:

Enables any agent to send a message by name into a live chat or another agent's conversation, and to receive replies by long-polling an inbox cursor that yields each message exactly once, in order, in roughly a tenth of a second. Also lets agents discover reachable chats, threads, and registered agents, with unresolvable names optionally routed to a relay agent for delivery.

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

Enables local AI agents on the same machine to exchange messages asynchronously through mailboxes, with tools for registering, sending, replying, checking, broadcasting, and waiting for messages without polling or cloud services.

Deploys a self-hosted Cloudflare email service providing short-lived mailboxes with a JSON API and MCP endpoint for automated testing and AI agent signup, verification, and magic-link flows.

Enables concurrent terminal sessions or other MCP clients on the same machine to register, exchange messages, check inboxes/replies, and coordinate tasks through file-based storage without a daemon or network port.

Enables an Alexa+ host to place and manage customer-care calls by building a case, navigating phone menus, waiting on hold, explaining the issue, guarding sensitive disclosures, handing off identity checks, recording ticket numbers and promises, and scheduling follow-ups.

Enables durable agent-to-agent messaging across any MCP client, DSH session, or A2A agent, with threads, receipts, search, broadcast, attachments, presence, SSE streaming, signing, and wake-on-message.

Exposes tools that let an agent read a CV, search the Arbeitnow job board for Berlin AI/ML working student roles, score each vacancy against the CV, draft cover letters whose every claim cites CV facts, and queue them for human approval. The same tools can be driven from other MCP clients such as Claude Desktop, with scoring done deterministically in code and limits enforced outside the prompt.

An MCP relay that adds a use_jev tool to every connected server, letting the Jev model autonomously select and execute tool calls while the calling model supplies any required text values. It enables agents to delegate multi-step tool use across all configured MCP servers through a single unified interface.

Enables AI agents to debug and repair historical Solaris/SPARC systems by providing an out-of-band control plane with guest DTrace, QEMU monitor access, SPARC-aware GDB, host eBPF/perf tracing, and an immutable evidence ledger for cross-layer hypothesis testing.

Enables local Laya-MLX typed decisions (classification, scoring, risk routing, and yes/no) for coding agents like Codex, Claude Code, DeepSeek Harness, and Pi via MCP, running entirely on Apple Silicon Macs.

A deterministic MCP server that executes 10-step topology pipelines on Cloudflare Workers, providing structured progress snapshots and adaptive JSON templates for AI agents.

Give any LLM agent a real Android or iPhone. 62 MCP tools: tap, swipe, type, screenshot, screen-tree reading, app launch, camera, TTS, crash reports, batched execution. Android via ADB, iPhone via WebDriverAgent, on-device inference, Docker+KVM emulators. Works with Claude Code, Cursor, LangChain, LlamaIndex, and any MCP client. MIT.

An AI-centric MCP server that enables automated Xilinx Vivado workflows, including project management, synthesis, implementation, and timing analysis. It allows AI agents to drive hardware design processes while integrating directly with the official Vivado GUI for visual context.

A server that leverages the XMCP framework to discover and execute tools from the src/tools directory, supporting both SSE and STDIO transport methods for interaction.

MCP server for Android Emulators to have easier experience with LLMs

Lets a coding agent hand a plain-language app idea to a hosted AI software team that shapes, designs, builds, tests and deploys it, returning a one-time link into the full build workspace. Also lists your apps with their stage, pending approvals and live addresses after a standard OAuth sign-in.

A MCP server that provides persistent memory for AI assistants, storing personal information, relationships, and observations to enable personalized and contextual conversations.

Enables users to turn raw video clips into finished, beat-synced montage cuts through natural-language chat with compatible coding agents, handling shot selection, music matching, subtitles, transitions, picture-in-picture, and rendering while allowing review before rendering.

Enables users to turn raw video clips into finished, beat-synced montage cuts through natural-language chat, automating shot selection, pacing, music matching, subtitles, transitions, picture-in-picture, and rendering. It returns reviewable timeline digests and contact sheets before rendering so edits can be approved in chat.

Enables coding agents to turn a folder of raw clips plus a plain-language prompt into a finished montage video, handling shot selection, pacing, beat-synced cuts, music matching, subtitles, transitions, and picture-in-picture. It returns a reviewable timeline digest and contact sheet before rendering, so nothing is exported until the user approves the plan.

This MCP server enables users to turn folders of raw video clips into finished, beat-synced montage cuts through natural-language chat, automating shot selection, music matching, subtitles, transitions, picture-in-picture, and rendering.

Use Codex as a subagent inside Claude Code: async dispatch into a long-lived codex app-server, results pushed back into the Claude session automatically, steer/interrupt mid-task, and Codex's built-in code review.

Enables AI assistants like Claude to interact with humans through intuitive GUI dialogs, supporting text input, choices, confirmations, and information displays.

Enables agents to synthesize typed MCP tool schemas at runtime, validate Python ASTs for unsafe imports, compile sandboxed callable handlers, and hot-plug them into an active MCP runtime. It provides a zero-dependency, standard-library-only MCP server for safe just-in-time tool creation and execution.

Enables agents to dynamically generate typed MCP tool schemas, validate Python execution ASTs against unsafe imports, and hot-plug sandboxed callable handlers into an active runtime. This allows new tools to be synthesized and safely executed on demand.

A local MCP server that lets Hermes supervise Claude Code, delegating focused coding, research, or review tasks to the Claude Code CLI and managing worker sessions, background jobs, cancellations, and read-only reviews.

Uses Claude as an independent second-model reviewer inside Codex, performing reviews on disposable Git snapshots with structured findings.

Enables AI agents to control the Unity Editor through MCP, allowing scene building, runtime scripting, visual QA, and more.

Enables real-time full-duplex voice agents to classify user interruptions, backchannels, and acoustic echo, and to arbitrate turn-taking with context rollback via MCP.