"A server for finding prompts" matching MCP servers:

A read-only MCP server that helps customers discover products, select flavors, check inventory and food info, and access official purchase links for Sifang Nuo Mi.

Enables natural-language control of DK-META2 devices through local BLE for vibration, linear extension, and rotation. It also supports scanning, connecting, status checks, and safe stop/disconnect operations without cloud access.

MCP server for managing AI prompts with CRUD operations, categorization, and tagging. Enables users to store, organize, and retrieve their favorite prompts efficiently.

Enables AI clients to scan for and connect to compatible BLE devices, control suction, vibration, linear, and rotary outputs, and safely stop or disconnect through MCP tools.

基于 MCP 协议的专业医学信息查询工具，集成 MSD 手册、MeSH 主题词、医学编码、术语和药品查询等多个权威数据源，支持 Claude Desktop、Cursor 等 AI 应用。

Enables AI agents to control a Playwright-driven browser through natural-language instructions, including page interaction and live browser task execution.

Enables AI-driven job application automation for LinkedIn and SEEK platforms with intelligent cover letter generation, automated application submission, and application tracking management. Supports anti-detection measures and complies with platform usage policies for safe job hunting automation.

MCP server providing on-demand access to official prompting guides for building robust meta-prompts.

Enables Codex to consult Claude Code for a second opinion through a local stdio MCP server, exposing the ask_claude tool for text-only reviews and recommendations using existing Claude Code authentication. Codex can request findings and tradeoff analysis without allowing Claude to edit files or run commands.

Read-only MCP access to the p-e relay store: an append-only corpus of provenance-bearing coordination records, with tools to fetch a record by id, list records and replies, and check existence. This image serves a snapshot frozen at build time; append_relay is listed but refused, and deposits to the live store require an HMAC-signed request.

Enables AI agents to perform local video, audio, and file operations inside an isolated workspace, including cutting/concat videos, extracting audio, transcribing, and managing files, with typed responses and background job support.

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 to manage multiple Outlook/Microsoft 365 mailboxes simultaneously through MCP tools, with local OAuth token storage.

An MCP server for searching and downloading books from Library Genesis, supporting EPUB, MOBI, PDF, and more through natural language queries.

Scans prompts for PII and masks or redacts sensitive data locally before sending to an LLM, supporting multiple anonymization modes.

Enables persistent, project-scoped memory for OpenAI Codex Desktop and CLI on Windows, capturing prompts and responses through managed hooks, with federated recall across projects and optional local graph extraction.

Provides a read-only interface to audit and continue coding agent sessions by extracting plans, intents, and edit authorship from history across multiple agents (Claude, Codex, OpenCode, Antigravity, Pi) via MCP, CLI, and Python SDK.

Enables MCP clients to operate local Adobe Premiere Pro projects, covering media ingest, bins, sequence and timeline editing, transitions, effects, keyframes, captions, markers, metadata, proxies, multicam, color, audio, and exports through 283 discoverable tools, 13 context resources, and 10 guided prompts. A bundled CEP panel provides the supported production bridge, with read-only connection verification and higher-level workflows for assembling product spots and motion-graphics demos.

Turns a prompt-engineering workflow into a workbench: it suggests candidate prompts with live sample replies, gives them LangGPT structure, rewrites them over multiple rounds, and proves the result against test cases with promptfoo-style assertions, model graders and DSPy-style train/dev search. Runs on any OpenAI-compatible provider using your own API key.

Local MCP server that uses a local Ollama model to rewrite rough prompt drafts into structured, optimized prompts for paid APIs, saving tokens and improving output quality.