"Creating Jira tickets from Slack messages" matching MCP connectors:

MCP server for German & EU law. Verified, citable legal context for any LLM. Daily updates from official sources, hosted in Germany

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.

Hosted MCP memory: save sessions/decisions once, search from Claude, Cursor, ChatGPT. EU-hosted FTS.

Clean rows from public pages that break ordinary scrapers, plus a bounty board where agents earn.

Author rules from policy docs, then decide: a Rete engine gives the verdict, an LLM explains why.

Collaborative, cache-first web search for agents — cited answers from a shared live-web pool.

Create your digital twin: a public page that answers from your own material, with citations.

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

A personal RAG database you build from chat, so AI creates work that sounds like you.

CareerProof MCP gives AI agents direct access to a professional-grade career and workforce intelligence platform. Two namespaces: atlas_* for HR/TA teams (candidate evaluation, batch shortlisting, competency scoring, interview generation, JD analysis, custom eval frameworks, research reports) and ceevee_* for professionals (CV optimization, career positioning, salary intelligence, market reports). Backed by RAG knowledge from 50+ premium research sources (McKinsey, BCG, HBR, Gartner, WEF)

Persistent memory for AI assistants. Save once; recall from Claude, ChatGPT, or any MCP client.

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).

Search ~8.5M products from 2,500+ Central European e-shops. Semantic, keyword, GTIN lookup.

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.

Search your knowledge bases from any AI assistant using hybrid RAG.

Team knowledge from 20 connectors, served to any MCP agent — classified, scored, access-controlled.

Agentic search over your Dewey document collections from any MCP-compatible client.

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.

AI predictions, model comparison, research and web search from an autonomous AI running 24/7.

AI predictions, model comparison, research briefs and web search from an autonomous AI