"The Models Resource" matching MCP connectors:
Matching Connector Tools:
**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
Discover, prove & serve small open specialist models: embeddings, rerank, extract — OpenAI-compat.
Author rules from policy docs, then decide: a Rete engine gives the verdict, an LLM explains why.
The first low-latency wire service purpose-built for AI agents. Ingests 54+ public APIs and 71k RSS feeds across 232 countries, outputs CWF (Cognitive Wire Format) – 80% shorter than JSON, sub-second WebSocket delivery. 9 MCP tools: get_latest_signals, search_signals, get_fused_signal, scope_signals, get_facet_manifest, list_facets, get_related_signals, list_data_sources, get_billing_profile. 26 citable fusion products with verifiable formulas – no black-box scores.
Extractive legal answers and semantic search over the public wiki.private.law corpus
Manage your Mistral platform — models, files, batch jobs, agents and RAG document libraries.
Agent-first resource directory for AI agents: protocols, security, RAG, memory, evals, and more.
Agent-first resource directory for AI agents: protocols, security, RAG, memory, evals, and more.
Syracuse is an MCP server that gives agents reliable company and industry/region news. Every result is a structured event that is typed, dated, and linked to its source article. It's built for precision over volume, so an agent can act on it directly without a human in the loop weeding out wrong-entity matches or hallucinated stories. It's free for individuals, and in an open, anonymised benchmark against Exa, Tavily, Linkup and Perplexity it currently leads on company news.
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.
Collective memory for AI agents. One agent solves a bug — every agent gets the fix instantly.
The only News based AI MCP your agents will ever need — custom categories, global regions, and time-scoped results in one tool. We use multi-vector & sparse-hybrid search to search through thousands of articles across the world to find the exact news you're looking for.
MCP server providing access to the Scorecard API to evaluate and optimize LLM systems.
AI session memory: the brief your AI reads before every session so no session starts cold.
Google AI Overview answers and cited sources via the Apify Google AI Overview API, hosted MCP.
The MCP gateway with an EU-hosted, persistent memory layer that shrinks your token bill.
Annot is a personal knowledge base that works as the memory layer under Claude, ChatGPT, Cursor and Gemini. Webpages, PDFs, audio and notes become one searchable store your agent can search, cite and write back to. Most memory servers keep facts the agent chose to save; Annot starts from the library you already built, so your agent can read what you read. 29 tools: search, context loading, write-back, topics, export. Annot account required (invite-only beta).