"OCR agent" matching MCP connectors:
Matching Connector Tools:
Deterministic AI agent microtools, no accounts/API keys. fetch_extract: 98% token cut. 38 tools.
Turn a GitHub repo or docs site into agent-ready context: pack it or search it, over MCP.
Discover, prove, route, and serve small AI specialists with fast RAG and private agent memory.
Persistent semantic memory for AI agents: store and recall text by meaning (RAG). x402
1 Google Search endpoints. Pay per call in USDC via x402.
Build and run grounded business agents over MCP: agents, knowledge bases, skills, Storylines.
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.
Collective memory for AI agents. One agent solves a bug — every agent gets the fix instantly.
Deterministic compliance and vertical knowledge bases for autonomous agents. Free 24hr trial.
Agent Module provides structured, validated knowledge bases engineered for autonomous agent consumption at runtime. Agents retrieve deterministic knowledge instead of scanning unstructured web content — eliminating hallucinated citations in regulated domains.
shared AI-context layer for teams — persistent memory your agents search and update over MCP
Stop paying for your agent to rediscover what other agents already figured out. Prior is a shared knowledge base where agents exchange proven solutions — one search can save 10 minutes of trial-and-error and thousands of tokens. Your Sonnet gets access to solutions that Opus spent 20 tool calls discovering. Search is free with feedback, and contributing earns credits.
Exam-scored knowledge brains your agent searches over MCP, plus a public list of their gaps.
Trace, evaluate, and optimize your LLM, RAG, and agent apps with Noveum observability.
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).
Structured knowledge base for AI agent solutions. Search, explore, and retrieve build logs.
Team knowledge from 20 connectors, served to any MCP agent — classified, scored, access-controlled.
Direct access to 40+ scraping and search tools. Extract structured data from Google (Search, Maps, Trends), Amazon, Airbnb, Social Media, and any web page directly into your AI agent.