Having so much fun playing around with the Recall MCP. Quickly being able to switch between my normal conversation with Claude and bringing my saved content (YouTube videos, podcasts, PDFs and personal notes) from Recall in has been powerful. There are four key tools in the Recall knowledge recall MCP. Check them out below.

Get the full details in our docs: https://docs.recall.it/developer/mcp

1.⁠ ⁠Search Knowledge Base (search) Semantic + keyword search across saved content.

• "What did I save about machine learning?"
• "Find all articles about React"
• "Search my notes for project planning ides"

2.⁠ ⁠Get Document (get_document_content) Retrieves key chunks from a specific card. Not a full read, focuses on the most relevant sections.

• "Get the main points from card abc123"
• "What does this card say about pricing?"
• "Pull the relevant sections from that article"

3.⁠ ⁠Filter Documents (filter_by_metadata) Browse documents by date, tags, or source URL. No semantic search.

• "What did I save last month?"
• "Show me everything from notion.so"
• "List all documents tagged with work"

4.⁠ ⁠Explore Knowledge Base (explore_kb) High-level stats and structure.

• "How many cards do I have?"
• "What are my most used tags?"
• "What sources do I save from most?"

If you are looking for ways to bring context into your AI conversation and boost your productivity with smarter, richer answers, then this list is for you.

1. Recall MCP

Best for: bringing your trusted sources into any AI conversation.

Recall is a personal knowledge management tool (think of it as your AI second brain) where you save and organize the sources you trust over time: YouTube videos, podcasts, PDFs, articles, TikToks, and your own notes. Content gets transcribed, summarized, tagged, and connected automatically, so your library grows into a structured knowledge graph instead of a folder of saved links. The Recall MCP exposes that library to Claude, Cursor, ChatGPT, or any MCP client, so your AI can pull from sources you already trust instead of generic web results.

Strengths:

• Semantic search across everything you've saved, including transcripts of videos and podcasts
• Find a specific moment inside a podcast you listened to months ago
• Synthesize all your research from a given time range or topic
• Works with content you didn't write (videos, podcasts, articles) and content you did (notes)
• Auto-organizing: tags, summaries, and connections happen on save, not manually
• Read-only MCP access keeps your library safe from accidental writes by an agent

Who is this for: lifelong learners, researchers, students, and anyone who wants conversations grounded in trusted sources rather than generic web results. If you're a content nerd, this one is for you.

Setup docs: https://docs.recall.it/developer/mcp

2. Notion MCP

Best for: team docs, structured databases, and project management.

Notion is the workspace tool a lot of teams already run their lives on: shared docs, wikis, roadmaps, task databases, meeting notes. Notion has been renowned for its block-style editor, where you can easily create custom templates, tables, to-do lists, and more. The Notion MCP lets Claude or Cursor read and write into that workspace directly, so your AI becomes a participant in the system rather than something you copy-paste in and out of.

Strengths:

• Read and write pages, query databases, append blocks from chat
• Strong for shared workspaces, roadmaps, and task tracking
• Native to teams that already standardize on Notion as their hub
• Database queries let the AI filter and pull structured records, not just freeform text

Who is this for: teams that already use Notion as a source of truth, and anyone building structured project documentation they want their AI to participate in.

3. Obsidian MCP

Best for: local-first markdown notes you write yourself.

Obsidian is the choice for people who want full local control over their notes - this means that everything is stored locally on your device and is completely private. you can then read notes that you took directly into the AI model of your choice and write to it. if you're interested in connecting your notes, a bonus is the connection feature

Strengths:

• Fully local and offline, you own the files
• Works with the linking and backlink model that makes Obsidian useful in the first place
• AI can create new notes, follow links, and update existing ones from chat
• Massive plugin ecosystem means you can shape the vault to match your workflow

Who is this for: people who care about local storage and want full ownership of their files. There's a bit of a learning curve, but for most plaintext-and-links users the investment is worth it.

Recall MCP vs Notion MCP

Recall is personal knowledge management. It's where you save and organize the sources you trust so you can bring them into any AI conversation as context.

Notion is team docs and project management. Shared workspaces, databases, roadmaps, task tracking.

The Recall MCP gives your AI access to your personal library of trusted sources. The Notion MCP gives it access to your team's workspace. Most people who care about both run both.

Recall MCP vs Obsidian MCP

Obsidian is a local markdown editor for notes you write yourself. Full offline, plaintext, you own the files.

Recall is for saving and organizing the content you consume from elsewhere (videos, podcasts, PDFs, articles), alongside your own notes. Content gets transcribed, summarized, and connected automatically.

Obsidian users often pair the two: Obsidian for writing, Recall for capturing and organizing sources.

What we'd run if starting from scratch

• If your knowledge is mostly content you consume (videos, podcasts, articles, PDFs): start with Recall.
• If your knowledge is mostly written by your team in a shared workspace: start with Notion.
• If your knowledge is mostly notes you write yourself in plaintext: start with Obsidian.

What did we miss?

Drop your stack in the comments. Especially interested in how people are combining Recall, Notion, and Obsidian with other MCPs, and the workflows that have actually changed how you work.