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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.
MarkupBase turns AI-generated Markdown and HTML into durable, versioned artifacts that people can review and discuss. Its MCP server lets agents publish new versions, preserve contextual comments, include hosted images, and respond to feedback through secure account-linked identities, creating a clear human review boundary without requiring real-time editing.
Enhanciar is a company brain for engineering teams. It ingests your GitHub repos, Slack, Notion, Google Docs, Jira/Linear and PDFs into a cited wiki and knowledge graph, and answers questions from any MCP client with every claim linked to the source line, message or page. Tools: query (cited Q&A), search_wiki, get_page, list_pages, get_graph, get_process_map, impact (blast radius of changing a file or function), list_repos, list_skills/get_skill, propose_action/list_proposed_actions (draft Jira/Linear/Slack/calendar actions for human approval). BYOK — bring your own model key. Early access: join the waitlist at https://enhanciar.in and create an API key in Settings.
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.
Direct access to 60+ 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.
Verified latest versions, changes and exact-error fixes for agent dev tools. Read-only.
1 Google Search endpoints. Pay per call in USDC via x402.
Serper MCP — wraps the Serper Google Search API (serper.dev)
Brave Search MCP — independent web index (no Google/Bing dependency)
Search 18M+ legal documents across 110+ countries. Case law, legislation, and doctrine with semantic + keyword hybrid search. Supports tool discovery, multi-jurisdictional queries, citation resolution, and full document retrieval. Requested missing datasets can be fully indexed within 48h.
AI memory layer — one shared, persistent memory across every AI tool you connect.
News MCP: real-time headlines & custom news search across 7 regions. Free, just sign in with Google.
Enrich Google Maps leads, crawl docs to RAG Markdown, transcribe podcasts, check AI crawler access.
Your curated sources (RSS, YouTube, podcasts, Google News) as context for any AI agent. 26 tools.
Google AI Overview answers and cited sources via the Apify Google AI Overview API, hosted MCP.
Your curated sources as context for any AI agent: RSS, YouTube channels, podcasts and Google News in one chronological reader. 26 tools to read, search, save, tag, highlight and annotate articles, plus audio briefings.
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.
Make your knowledge agent-ready. Connect docs from Confluence, Notion, GitHub, Dropbox, or Google Drive — any AI agent searches them via one MCP endpoint. 3 retrieval modes: vector search, broad search, and full document access. The agent decides how deep to dig.
The Needle MCP server enables semantic search on documents stored in files like PDFs, DOCX, and XLSX by connecting AI applications to external data sources. It provides capabilities to create and manage document collections, perform natural language searches on stored content, and retrieve relevant information without requiring exact keyword matches.