"PDF files or PDF-related tools and services" matching MCP connectors:

Deterministic AI agent microtools, no accounts/API keys. fetch_extract: 98% token cut. 38 tools.

For queries a model can't confidently place: resolves or declines. Built to decline, not guess.

A semantic search server that gives AI assistants instant access to Dodo Payments documentation and knowledge base.

AI-first file sharing and collaboration. 251 tools give agents a full workspace: file storage, branded shares, comments, workflows, and built-in RAG. 50GB free, no credit card.

**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

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.

Semantic search over the Stoic corpus — Marcus Aurelius' Meditations, Seneca's essays, and Epictetus' Discourses, Enchiridion and Fragments. Search by theme or citation, fetch any passage, or get the daily reflection. Public domain translations, no auth.

Know whether an AI agent should REUSE or REFETCH a URL before retrieving it again.

Independent fact-checking for AI answers: a verdict and sources for every claim.

Serve a folder of Markdown notes as an MCP server: hybrid search, reading, and sourced answers.

Check claims against a fact-store: consistent, contradicts, or unverifiable — with a receipt.

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.

Persistent semantic memory for AI agents: store and recall text by meaning (RAG). x402

LLM-ready web search + instant answers + URL-to-clean-text fetch for agents and RAG.

Cross-vendor AI memory over MCP. One semantic store, readable and writeable from every MCP client.

Document-to-Markdown MCP server — convert PDF, Office and HTML into LLM-ready Markdown.

Apple Developer Documentation with Semantic Search, RAG, and AI reranking for MCP clients

Build and run grounded business agents over MCP: agents, knowledge bases, skills, Storylines.

Extractive legal answers and semantic search over the public wiki.private.law corpus