The agent-native knowledge base
Give your AI agent long-term memory. Ingest documents, web pages, emails, Slack messages, and raw text — then search everything with natural language. Powered by vector embeddings via Gemini.
How it works
From an empty knowledge base to semantic search in seven steps.
Sign up and get an API key
Create a free account at gentic.co, generate an API key from your dashboard, and use it as a Bearer token to authenticate your agent.
Add the MCP server to your agent
Drop https://mcp.gentic.co/knowledge into Claude Code, Claude Web, OpenClaw, Claude Cowork, ChatGPT, n8n, or any MCP-compatible client. Pass your Gentic API key as a Bearer token — or connect via OAuth on clients that support it.
Ingest your content
Vectorize documents (PDF, DOCX, TXT), web pages, emails, Slack messages, reviews, or any raw text. Content is chunked and embedded automatically.
Build your knowledge base
Keep feeding content over time — product docs, customer feedback, creator notes, campaign briefs. Each piece is chunked (~1,000 chars) and stored with source metadata.
Search with natural language
Ask your agent anything and it searches your entire knowledge base semantically. Filter by source type, category, or document. Results are ranked by relevance.
Manage your sources
List all indexed sources to see what's in your knowledge base. Delete content by document or specific chunks when it's no longer relevant.
Build agent workflows
Chain knowledge tools with other Gentic MCP servers — enrich influencer outreach with brand docs, ground ad creative briefs in past campaign learnings, or power any RAG pipeline.
Available tools
6 tools your AI agent can call through the Model Context Protocol.
delete_content
Delete content from your knowledge base.
list_kb_sources
List all indexed sources in your knowledge base.
search_knowledge
Search your knowledge base using natural language.
vectorize_content
Vectorize raw text content (emails, Slack messages, reviews, social posts, etc.) and store in your knowledge base for semantic search.
vectorize_document
Vectorize a document file and store it in your knowledge base for semantic search.
vectorize_web_content
Scrape and vectorize a web page, storing it in your knowledge base for semantic search.
Connect in seconds
Sign up, grab your API key, and add the MCP server to your agent. Works with Claude Code, Claude Web, OpenClaw, Claude Cowork, ChatGPT, n8n, and any MCP client.
claude mcp add gentic-knowledge \
--transport http \
https://mcp.gentic.co/knowledge \
--header "Authorization: Bearer YOUR_API_KEY"You can also connect via OAuth — just add gentic-knowledge as a connector in Claude or ChatGPT settings. No API key needed; authentication is handled automatically.
Install the Gentic agent skill to teach your agent the optimal workflow so it gets the best results automatically.
npx skills add gentic-co/agent-skillsWorks with Claude Code, Cursor, Copilot, and 40+ other agents.
Pay per chunk, search for free
Ingestion is billed per chunk (~1,000 characters). Search, listing, and deletion are free — use them as often as you like.
| Tool | Cost |
|---|---|
| delete_content | Free |
| list_kb_sources | Free |
| search_knowledge | Free |
| vectorize_content | 5¢ / result (min 5¢) |
| vectorize_document | 5¢ / result (min 5¢) |
| vectorize_web_content | 5¢ / result (min 10¢) |
Pricing is pulled live from the Gentic MCP manifest so it always matches what you'll actually be charged.
Why agent-native knowledge?
Traditional vector DBs were built for engineers writing ingestion pipelines. This one was built for agents grounding their answers.
No UI to learn
Your AI agent is the interface. Say "index this PDF" or "search for our refund policy" in natural language — no dashboards or vector DB consoles required.
Composable workflows
Chain knowledge tools with influencer search, creative generation, data queries, and any other MCP server. Ground every agent action in your own content.
Portable
Works with any MCP-compatible client — Claude Web, Claude Code, OpenClaw, ChatGPT, n8n, and more. Switch clients without changing a thing.
Pay per chunk
Only pay when you ingest content. Search is always free. No monthly seats, storage fees, or platform subscriptions.