Curation-based knowledge base
Imports the reading signals you already create—such as X bookmarks, likes, follows, Substack subscriptions, and saved posts—and makes the resulting material searchable.
Opyt
Opyt turns bookmarks, likes, follows, subscriptions, and selected links into a searchable knowledge base for compatible AI clients. It helps researchers and technically oriented users monitor trusted sources, read topics over time, and produce source-grounded answers through MCP.
A knowledge base built from your reading choices
Opyt is a personal research and knowledge-base tool that turns existing reading signals—bookmarks, likes, follows, subscriptions, and selected links—into a searchable store. It is designed for people who want their AI client to work from sources they have chosen, rather than from an unfiltered web search or a manually assembled project notebook.
After onboarding a source and confirming the people or topics worth tracking, Opyt can collect fuller archives, organize material by topic, and continue checking selected research and software sources for new work. The store is accessed through MCP by compatible local AI clients, while Claude.ai can use Opyt's hosted connector. The documented workflow emphasizes source-grounded answers, chronological reading, emerging questions, and visible gaps where the store has no supporting material.
Core features
Archive expansion
After you confirm a person, Opyt can retrieve that person's broader archive, including X posts, GitHub repositories and READMEs, and essays from a personal site where available.
Longitudinal topic reading
Reads a topic through in publication order and can produce claims briefings, summaries, trajectories, and disconfirmation gaps, with source documents attached.
Standing research questions
Creates questions from the material you read and keeps running them against sources such as arXiv, GitHub, and OpenAlex, staging new work for later review.
Frontier discovery
Ranks newly found items by how many of your own standing questions reach them, helping surface material that intersects with several lines of inquiry.
MCP retrieval
Exposes the store through MCP so compatible AI clients can search, open, read, aggregate, and query the curated material without requiring a separate Opyt chat interface.
Practical use cases
Check whether an idea has already been built
Before committing engineering time, search posts, repositories, and papers already connected to your curated sources. Opyt can place implementation evidence and skeptical commentary in the same ranked result set.
Understand how a technical debate developed
Read a debate chronologically across the documents in your store. The output can distinguish supporting and opposing claims, show authors who changed position, and identify where the disagreement remains open.
Catch developments between research sessions
Ask what arrived while you were away, then review items reached by multiple standing questions. This is useful for monitoring an active research area without manually refreshing several feeds.
Pressure-test a decision with trusted sources
Ask for the current position of sources you trust on a product, policy, or engineering decision. Search results can show agreement, dissent, and the exact posts or documents behind each view.
Write with traceable evidence
Draft a source-grounded brief from material in the store. Opyt can return citations to live URLs and mark evidence gaps, allowing the writer to separate supported claims from topics not covered by the collected sources.
Pros and Cons
Pros
- Uses existing bookmarks, follows, likes, and subscriptions as input instead of requiring every item to be filed manually.
- Combines posts, papers, repositories, blogs, and other supported sources in one searchable store.
- Can preserve publication order and expose how claims, disagreements, and changes in position develop over time.
- Keeps research questions running in the background and stages newly relevant material for later review.
- Shows citations and gaps in source-grounded outputs rather than silently filling missing evidence with general knowledge.
Cons
- The documented source connections require setup and, for some services, a connected Opyt-managed session; the exact onboarding requirements for every source are not specified.
- The available material describes a personal/local MCP workflow but does not establish team collaboration, shared workspaces, or administrative controls.
- Pricing and plan limits are not stated in the available product pages.
FAQ
What does Opyt do?
Opyt turns bookmarks, likes, follows, subscriptions, and selected links into a searchable knowledge base. It can also expand confirmed people into their broader public archives and continue finding related material based on questions raised by your reading.
Which AI clients can use Opyt?
A local installation runs as an MCP server for AI clients that can speak to a local process, including Claude Code, Claude Desktop, Cursor, Codex, and Windsurf. Claude.ai can use Opyt's hosted connector.
How is Opyt set up?
You begin by connecting a source such as X, Substack, research, a personal site, or a supported link. Opyt explains each connection and waits for confirmation before reading it. The product can use its model access or help connect an OpenRouter account.
What sources does Opyt support?
Opyt supports content from X, Substack, GitHub, public blogs, arXiv, OpenAlex, and links to supported papers, posts, articles, or repositories. LinkedIn and several aggregators are identified as coming soon, so they should not be treated as currently available integrations.
Is Opyt a team knowledge base?
The sources describe a local MCP server and a hosted connector for Claude.ai, but do not establish team collaboration, shared workspaces, or enterprise administration features.
Quick Facts
- Category
- AI research and knowledge base
- Access model
- MCP server for local AI clients; hosted connector for Claude.ai
- Supported clients named
- Claude Code, Claude Desktop, Cursor, Codex, and Windsurf
- Source types named
- X, Substack, GitHub, public blogs, arXiv, OpenAlex, and supported links
- Primary workflow
- Curate sources, confirm people or topics, then search and monitor the resulting store
- Pricing
- Not stated on the available product pages
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