101 tagged Prompting, measured the same way as everything else here.
Browse within: LLM 17mcp-server 11cursor 9copilot 8model-context-protocol 8instructions 7prompt-engineering 7
MCP server Claude CodeCodexCursor +2
MCP server for LynxPrompt — browse, search, and manage AI configuration blueprints. Runs locally from the lynxprompt-mcp npm package. Needs 2 environment variables to run.
MCP server Claude CodeCodexCursor +2
PQS scores any prompt before the model runs. 8 dimensions. 5 frameworks. Pre-flight, not post-hoc. Runs locally from the pqs-mcp-server npm package. Needs 1 environment variable to run.
MCP server Claude CodeCodexCursor +2
Score your specs before feeding them to an LLM. MCP server with radar chart visualization. Runs locally from the spec-score-mcp npm package.
MCP server Claude CodeCodexCursor +2
MCP server for JYMP - combines codebase files into LLM prompts. Runs locally from the @mahendra189/jymp-mcp-server npm package.
MCP server Claude CodeCodexCursor +2
Detect prompt injection, jailbreaks, and code injection in untrusted text before it reaches an LLM. Runs locally from the @safeprompt.dev/mcp npm package. Needs 3 environment variables to run.
MCP server Claude CodeCodexCursor +2
Trazum as an MCP server: let an agent price and budget its own prompts before it sends them. Runs locally from the @trazum/mcp npm package.
MCP server Claude CodeCodexCursor +2
MCP server for Fabric AI patterns. Runs locally from the @angrydad67/fabric-mcp-server npm package. Needs 2 environment variables to run.
MCP server Claude CodeCodexCursor +2
Scores your prompts against your real codebase — context-aware prompt intelligence. Runs locally from the prompyai-mcp npm package. Needs 1 environment variable to run.
MCP server Claude CodeCodexCursor +2
Static linter for AI prompts: contradictions, redundancy, ambiguity, and fluff. Runs locally from the promptlint-mcp npm package.
MCP server Claude CodeCodexCursor +2
Orchestrate complex AI interactions with Context Compose. A powerful CLI and server for building, validating, and managing context for large language models using the Model Context Protocol (MCP). Runs locally from the @noanswer/context-compose npm package.
MCP server Claude CodeCodexCursor +2
MCP Server for prompt engineering suggestions. Runs locally from the rt-prompt-mcp npm package.
MCP server Claude CodeCodexCursor +2
A Model Context Protocol (MCP) server for saving and managing prompts. Runs locally from the prompt-new-mcp npm package.
MCP server Claude CodeCodexCursor +2
MCP DevPrompts - Curated prompts for AI-powered development workflows. Runs locally from the mcpdevprompts npm package.
MCP server Claude CodeCodexCursor +2
MCP server "prompt-cleaner" as configured in dacebt/prompt-cleaner-mcp. Runs locally from the prompt-cleaner npm package.
mhabedini/json-to-toon-mcp-server
MCP server Claude CodeCodexCursor +2
MCP server for converting JSON to TOON (Token-Oriented Object Notation) format - saves 30-60% on AI tokens. Runs locally from the json-to-toon-mcp-server npm package.
MCP server Claude CodeCodexCursor +2
An MCP server for the codetoprompt library, enabling integration with LLM agents. Runs locally from the codetoprompt-mcp Python package.
MCP server Claude CodeCodexCursor +2
Model Context Protocol server for Prompteka - enables AI assistants to read and write prompts. Runs locally from the prompteka-mcp npm package.
MCP server Claude CodeCodexCursor +2
Local MCP server for managing AI prompts with SQLite storage. Runs locally from the @mhoshdev/prompt-store-mcp npm package.
MCP server Claude CodeCodexCursor +2
MCP server "promptthrift-mcp" as configured in woling-dev/promptthrift-mcp. Runs locally from the promptthrift-mcp Python package.
cardinalblue/prompt-book-mcp-server
MCP server Claude CodeCodexCursor +2
MCP server for Notion prompts database. Runs locally from the @piccollage/prompt-book-mcp-server npm package.
MCP server Claude CodeCodexCursor +2
A local service for managing prompts, built as a Python package that works with MCP, a standard way for AI agents to use external tools and data.
MCP server Claude CodeCodexCursor +2
MCP server "mcp-prompt-server" as configured in marcmodin/mcp-prompt-server. Runs locally from the mcp-prompt-server Python package.
zdrjson/thinking-prompts-skill
MCP server Claude CodeCodexCursor +2
MCP server "thinking-prompts" as configured in zdrjson/thinking-prompts-skill. Runs locally from the thinking-prompts npm package.
MCP server Claude CodeCodexCursor +2
Open-source prompt optimizer plugin for terminal AI agents: cuts token waste via a behavior protocol, local prompt compression, ask-or-assume clarifying questions, and cheapest-capable model routing. Runs locally from the promptopt npm package.