Free AI prompt API with 185 expert role contexts and 1,741 prompt templates across 24 professional domains. No auth required. Works with any AI agent.
Run a prompt through a LangChain (system + human) chain over Gemini on Vertex AI; optional LangSmith tracing. Ideal for traced/observable LangChain pipelines, evaluating prompts, monitoring chain quality.
PromptRefiner is a premium micro-service from the M2MCent factory, configured as a Model Context Protocol (MCP) server. Functionality: Optimizador de Prompts Visuales (MJ, Sora). This node features autonomous, secure cryptographic settlement secured by an x402 micro-payment wall on the Base L2 network. Service fee: $0.02 USDC per tool execution.
IA-QA as an MCP Server Use IA-QA's developer tools to test your llm agents RAG ai tools, directly from Cursor, Claude Desktop, Windsurf, or any AI agent without leaving your IDE. Many classical testing tools too ! Enjoy ! No API key. No signup. Free.
Transform basic instructions into high-quality prompts with optimized structure and clear constraints. Evaluate existing prompts for clarity and specificity while receiving actionable improvement suggestions. Access a library of production-ready templates and convert formats to streamline development workflows.
'Oi build this feature for me'. Oi exposes your collaborative team's private agent contexts, guardrails, data connections and workflows, so the same reusable context can be used across ChatGPT, Codex, Claude, Cursor, and other MCP-compatible clients.
Reduce LLM API costs via semantic caching, prompt compression, model routing and context pruning. Zero code changes required.
One workspace for your prompts, documents, and collections — accessible from every AI client you use. Context Repo is an AI context management platform for capturing, organizing, versioning, and searching the knowledge artifacts you use with AI tools. This MCP server exposes 28 tools that give Claude, Cursor, ChatGPT, Factory, Windsurf, Codex, Claude Code, and any other MCP-compatible client direct read-and-write access to your personal workspace — no copy-paste, no context loss between conversations. Features Prompts — Full CRUD with version history, rollback, and semantic search across your prompt library Documents — Markdown and plain-text storage with automatic chunking and 1536-dim vector embeddings Collections — Named folders that group prompts and documents into project-scoped contexts Catalog Search — find_items returns ranked results across prompts, documents, and collections in a single call (semantic by default, literal fallback) **Dee
Full AI agent lifecycle platform — create, grade, optimize, deploy and orchestrate AI agents from your IDE or terminal. What you can do Build — Create agents from 37 templates or custom system prompts, with skills, tools and extensions Grade — Evaluate agent quality with 6 criteria (output match, schema validation, tool usage, safety, custom scripts, LLM judge) Optimize — AutoResearch lab with 6 modes: AutoTune, AutoFix, Stress Lab, Tournament, Distillation, Evolution Deploy — Widget, Slack, Telegram, WhatsApp, webhooks (n8n/Zapier/Make compatible) Orchestrate — Multi-agent teams with parallel, sequential and conditional execution modes Monitor — Usage tracking, session history, compliance reports (EU AI Act) 32 tools in 6 categories | Category | Tools | |----------|-------| | Agent CRUD | create, get, update, delete, list, import, export | | Templates | list templates, deploy template | | Grading | grade prompt, create suite, run grading,
PQS is the fastest way to get better output from any AI model. Score any prompt before it hits the model. Get a grade (A-F), score out of 80, percentile, and dimension breakdown across 8 quality dimensions. Built on PEEM, RAGAS, MT-Bench, G-Eval, and ROUGE frameworks. Pre-flight, not post-hoc. The AI input quality problem is real. PQS solves it. MCP Tools: scoreprompt: Free. Returns grade (A-F), score out of 80, percentile, and full 8-dimension breakdown. No API key needed. optimizeprompt: $0.025 USDC. Returns a rewritten, higher-scoring version of your prompt with before/after dimension deltas. HTTP API (x402-native on Base): /api/score/free: Free. Grade, percentile, and 8-dimension breakdown. No payment required. /api/score: $0.025 USDC. Single score, pay-per-call. /api/score/full: $0.125 USDC. Grade, percentile, dimension breakdown, and rewrite. /api/score/batch: $0.25 USDC. Score multiple prompts in a single call. /api/preflight: $0.05 USDC. Lightweight pre-flig
Generate optimized prompts for over 140 platforms using Prompeteer's Contextual AI platform. Manage and organize your creations within a personal vault for easy retrieval and storage. Evaluate prompt quality across multiple dimensions to ensure high-performance results.
Production-ready prompt injection detection for AI agents. Scan user input, retrieved docs, and tool outputs before passing them to an LLM. Returns injectiondetected, score, attacktype, and sanitized text.
Generate personas for testing and prototyping. Build from your connected accounts or custom guidance to mirror real-world behavior. Export in multiple formats for easy sharing and integration.
Token-efficient web browser for LLM agents
Persistent memory and context layer for AI agents. inject() before your LLM call, update() after. Relevance-scored injection, grant-based access control, user-owned context. Works with OpenAI, Anthropic, Vercel AI SDK, and LangChain. < 50ms retrieval. GDPR-ready. Free tier: 2,500 calls/month.
LLM provider intelligence for AI agents. Get ranked recommendations for your task type, compare pricing and capabilities. Tools: recommendllm, listproviders, checkproviderstatus.
Turn a prompt + a field schema into validated, typed JSON (Instructor over Gemini 2.5 Flash on Vertex AI). Ideal for extracting typed entities from unstructured text, normalising documents into JSON, building schema-driven form fillers.
Pick the right LLM for any task. XFMS infers which quality in its catalog against those dimensions, and returns a ranked shortlist with plain-English rationale per pick. The catalog updates continuously from 8 independent third-party evaluators — no provider self-reports, no single-source benchmarks. Missing data is recorded as missing, not interpolated. Three tools: rank — ranked shortlist with weights and rationale pick — single best pick discover — which quality dimensions matter, without ranking No OpenRouter key needed. The hosted endpoint covers inference; you only need a free XFMS access token from xpansion .dev/xfms/get-started. Part of the Xpansion Framework — an enforcement layer for AI-assisted work.
Cloud Access Security Broker. Identify security misconfigurations across SaaS applications.
Lightweight MCP browser for LLM agents. One native binary, no Chrome, low-token BlockMaps, stateful sessions, bounded JavaScript execution, forms, cookies, and escalation hints to real Chrome via Unchained. Hosted endpoint is for public discovery and smoke tests only.
Prompt Injection Detector is a stateless security microservice built for the agent economy. Before your agent acts on any input — whether from a user, an email, a document, or another agent — run it through this scanner first. Detects: jailbreak attempts, instruction overrides, role-play manipulation, goal hijacking (OWASP ASI01), tool misuse patterns (OWASP ASI02), hidden instructions embedded in data, and indirect injection via external content. Returns a confidence score, severity rating, specific patterns detected, and a clear recommendation — block, warn, or pass. Pay per scan via x402 protocol. USDC on Base. No API keys. No subscriptions. No human in the loop. Agents call it directly. MCP tool name: scanforinjection
