"dns intel" matching MCP servers:

Enables MCP clients to leverage the Intel Arrow Lake NPU for local speech transcription, screenshot OCR, private semantic search, and hardware diagnostics, all processed locally.

Enables diagnosing web hosting and server issues by running live HTTP, SSL, DNS, and security-header checks alongside a searchable troubleshooting knowledge base.

A workspace of six MCP servers—grounded-cv (hybrid RAG with citations), repo-intel (GitHub repo intelligence), web-research (safe web search/extraction), ats-jobs (unified ATS job boards), outcome-ledger (durable task ledger), and coding-workflows (code review & planning)—purpose-built for agentic hiring evaluations.

Production-grade MCP server providing deterministic evaluation, AST sandboxed execution, DNS routing audit, and runtime guardrails for autonomous LLM agents.

A Model Context Protocol server that provides Claude with access to Pangea's security services, including AI Guard, Domain Intel, Embargo checks, IP Intelligence, Redaction, Secure Audit Log, URL Intelligence, and Vault services.

Sovereign AI intelligence platform with 73K+ darknet threat intel points, 65+ divination systems, and Norwegian legal database. Tools: threat_search, threat_feed, threat_stats, oracle_reading, norlex_legal.

Enables offline, read-only question answering over a pinned ArduPilot, ExpressLRS, EdgeTX, CRSF, and MAVLink corpus with verifiable citations, plus parameter lookup, bitmask decoding, MAVLink message inspection, CRSF frame decoding, and Intel HEX checks.

Enables local-only long-term memory and RAG for AI agents through PostgreSQL/pgvector hybrid search, GraphRAG, Intel XPU reranking, and isolated Ollama-backed MCP tools.

Enables AI clients to run local semantic search over your own documents and code in Chinese or English, with embeddings computed on an Intel NPU. Also lets clients check index status and trigger reindexing.

Collective intelligence for AI shopping agents — product intel, deals, and more

Diagnoses web hosting and server issues by combining live HTTP, SSL, DNS, and security-header checks with a searchable knowledge base of troubleshooting notes, enabling MCP clients to investigate symptoms and explain root causes.

Enables AI agents to extract structured data from PDFs with confidence scores and provenance, and to search, review, and correct documents via MCP tools, resources, and prompts.

This MCP server enables job intelligence retrieval and ranking, providing tools to list jobs, fetch details, access corpus statistics, and score candidates against job descriptions using staged retrieval to optimize LLM context usage.

An MCP server implementation that enables interaction with the Unstructured API, providing tools to list, create, update, and manage sources, destinations, and workflows.

Enables AI agents to perform hybrid code search, get explanations, analyze relations and impacts, retrieve context packs, and generate documentation across ~45 languages via 17 MCP tools, all powered by a local vector database and LLM.

Enables Claude and other LLMs to search through any published MkDocs documentation site using the Lunr.js search engine, allowing the AI to find and summarize relevant documentation for users.

Enables MCP clients to delegate analytics questions, sample-size calculation, knowledge retrieval, and metric listing to a deterministic statistical engine over stdio JSON-RPC.

Enables an LLM to search the D&D 5e (2014) rule catalogue and fetch any wiki page as Markdown.

Integrates CRM data with AI agents to manage leads, track pipeline statistics, and search price catalogs via Supabase. It enables automated lead creation, stage updates, and history tracking through natural language commands.

A Python backend implementing the Model Context Protocol with Azure OpenAI integration, enabling applications to interact with LLMs through a standardized interface with streaming capabilities.

Enables AI agents to perform grounded web research with injection resistance, claim verification, and cost-aware routing through MCP tools like web_search, fetch_url, extract_claims, and check_grounding.

Enables intent-based semantic search over external design system documentation, allowing MCP-compatible AI assistants to retrieve relevant design tokens, component architectures, and code patterns via a single tool.

Enables local research of the entire English SRD 5.2.1 through hybrid vector and full-text search, exact cited rule retrieval, and deterministic constraint checks for actions, movement, spellcasting, concentration, damage, rolls, and characters.

Enables interaction with the Unstructured API to manage data workflows, including creating and managing source connectors (S3, Azure, Google Drive, etc.), destination connectors (Weaviate, Pinecone, MongoDB, etc.), and workflows for document processing and data pipelines.

Exposes code search and file reading tools over the Model Context Protocol, enabling any MCP-compatible client to query a codebase with natural language.