"Créer des systèmes de prompt pour les modèles de langage (LLM)" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Unstructured document processing for LLM pipelines. Upload as PDF/DOCX/TXT any supported files, extract structured data (PII-redacted), build LLM-ready datasets, and search/export results — all via MCP tools (document.process, job.status, job.result, dataset.build, dataset.search, dataset.export).
**ColdState Knowledge Search MCP Server** https://github.com/daniel-coldstate/coldstate-mcp Semantic search over 64.6M knowledge entries — the structured alternative to web search APIs and web scraping for LLM agents. No crawling, no rate limits, sub-3s responses. Cloud-hosted at services.coldstate.ai
The world's first named AI prompt quality score. Score, optimize, and compare LLM prompts before they hit any model. Free tier available. Built on PEEM, RAGAS, G-Eval, and MT-Bench frameworks. x402-native on Base.
Any URL to clean text, markdown, or JSON for LLM/RAG pipelines.
LLM-ready web search + instant answers + URL-to-clean-text fetch for agents and RAG.
Your private knowledge base: upload documents (.md, .txt, .docx, PDF, images), the platform indexes
LLM caching proxy (x402 USDC on Base) - exact + semantic cache. Free health.
Author rules from policy docs, then decide: a Rete engine gives the verdict, an LLM explains why.
MCP server providing AI security tools: prompt injection detection, PII scanning, and RAG input validation. Works with Claude, Cursor, and any MCP-compatible client.
Shared cross-LLM long-term memory over MCP: semantic recall, sessions, and media (pgvector).
MCP server providing access to the Scorecard API to evaluate and optimize LLM systems.
HTML to clean Markdown for LLM and RAG pipelines: headings, lists, tables, links, code fences. Pr...
Document-to-Markdown MCP server — convert PDF, Office and HTML into LLM-ready Markdown.
Marketing intelligence API for AI agents. Real campaign data, not LLM guesses.
Convert PDF URLs to clean Markdown and text for RAG and LLM input. Pay per PDF on Apify.
Cost-optimized LLM model routing recommendations for autonomous AI agents
Semantic memory for AI agents. Store, recall, and forget memories with entity extraction and fact-based retrieval. Self-hostable, privacy-first, works with any LLM.
MCP memory server with shared team workspaces, typed knowledge chunks (decision, finding, convention, state, question, reference), role-based access, and cross-tool support for Claude, Cursor, and Codex. The only MCP memory server built for engineering teams. Features automatic deduplication, two-layer retrieval (LLM KB selection + hybrid vector/BM25/RRF fusion), a web dashboard with knowledge graph visualization, and attribution tracking. Zero server-side LLM costs.
Multi-LLM AI Research & Analysis — smart routing, consensus analysis, due diligence reports
