Query Markup Documents - On-device hybrid search for markdown files with BM25, vector search, and LLM reranking
BrainTube is installed from its publisher's own source and answers where it runs, so this marketplace is not in the path of a single call. There is no address here to send one to, and a panel that pretended otherwise would be showing you an answer we made up. Install it and call it from your own client — the Installation tab has the entry for each one.
What it does
Search everything you save: YouTube, articles, podcasts, PDFs, Notion, Obsidian. API key or OAuth.
Quickstart
# 1 — add it to Claude Code
claude mcp add --scope user --transport http braintube-mcp https://mcp.brain-tube.com/mcp
# 2 — ask your agent for something these tools do
# search_knowledge, get_video, list_recent and 49 more
BrainTube costs nothing on mcprush: there is no plan to choose here, no cap to set and nothing mcprush can bill you for.
Collected from a public index. Nobody has claimed this account, so nothing here was written by its author — claim it if it is yours.
Where are you running it?
Every route below installs the same thing and ends at the same approval screen. Nothing here runs on your machine and nothing runs on ours: this server answers at its publisher’s own address, and what you install is the connection straight to it.
This is a public server: it answers at its publisher’s own address and this marketplace is not in the path. Claude Code registers it in one command; --scope user makes it available in every project. The transport below is http, as the publisher's own manifest declares it. Its publisher asks you to sign in with OAuth: run /mcp in Claude Code and pick this server, and it opens a browser for that once.
claude mcp add --scope user --transport http braintube-mcp https://mcp.brain-tube.com/mcpReconnect, or start a new session, and the tools appear in the model’s tool list.
One config entry pointing straight at the publisher’s own address — this marketplace is not in the path, and nothing from this listing executes on your machine.
52 tools, with what each one reads, writes and reaches shown before you agree — the same list on every route above. Read the tool surface.
Tool surface
What the model actually sees. Descriptions are diffed on every release — see version history.
Full-text search over your personal BrainTube knowledge corpus. Searches across YouTube, Instagram, web, LinkedIn, GitHub, Twitter and more. Hybrid ranking (semantic + keyword, reciprocal-rank fusion); Bulgarian/Cyrillic queries are also searched in English. Returns taint warnings.
No parameter schema on file.
Get full details for a specific saved item including transcript, description, summary, key takeaways and taint level. Pass YouTube video ID or internal UUID.
No parameter schema on file.
List your most recently saved items across all source types. Use to resume a research session or review what was captured lately.
No parameter schema on file.
Get your personal corpus statistics: total items saved, breakdown by source type (youtube/instagram/web/etc), taint distribution. Useful for understanding what knowledge is available before searching.
No parameter schema on file.
Find items semantically similar to a given item using vector similarity. Useful for discovering related concepts, follow-up research, or building knowledge clusters. Returns an empty list when the item has no embedding yet.
No parameter schema on file.
Search your corpus filtered to a specific source type. Use when you want results only from "youtube", "instagram", "web", "notion", "linkedin", "twitter", "github", "reddit", "pdf", "note", etc. Combines semantic + keyword fallback.
No parameter schema on file.
Semantic search scoped to items saved between two dates. Pass ISO 8601 dates for "after" and "before". Useful for reviewing what you captured during a specific period or project.
No parameter schema on file.
Add or remove tags on a saved item. Tags are stored as a text array on the item. Provide add[] and/or remove[] arrays. Tags are normalized to lowercase.
No parameter schema on file.
List saved bookmarks from your corpus. Filter by read/unread status. Returns title, URL, tags, and read state sorted by bookmarked_at desc.
No parameter schema on file.
Bookmark an item, remove a bookmark, or toggle its read/unread state. Actions: bookmark | unbookmark | mark_read | mark_unread.
No parameter schema on file.
Connect your Readwise account to BrainTube by saving your Readwise API token. Required before sync_readwise can run. Get your token at readwise.io/access_token.
No parameter schema on file.
Import highlights from your Readwise library into your BrainTube corpus. Use mode=incremental (default) to fetch only new highlights, or mode=full to re-import everything. Requires connect_readwise first.
No parameter schema on file.
Ingest a single Notion page into your BrainTube corpus. Accepts a full Notion URL or raw page UUID. Extracts title + body text, upserts to items table, and immediately generates an embedding. Requires set_notion_api_key first.
No parameter schema on file.
Save a note or AI-generated synthesis on one of your saved items. Each item holds one note; saving again replaces it. Only items you own can be annotated.
No parameter schema on file.
Retrieve your most recently saved Claude and ChatGPT conversations. Useful for resuming context from a previous session or reviewing past AI-assisted work.
No parameter schema on file.
Analyse your corpus to build a knowledge expertise profile. Tags are classified as expert (>50 items), intermediate (20-50), surface (5-20), or blind spots (<5). Also returns dominant source types and recent 7-day focus.
No parameter schema on file.
One-shot session bootstrap: combines expertise profile, last 5 AI conversations, and corpus stats into a single JSON object. Useful at the start of a session to load context in one call.
No parameter schema on file.
Ingest a single piece of content (note, article, document, etc.) into your BrainTube corpus. Deduplicates by source_url first, then by exact title match. Immediately generates an embedding. Use force_new=true to skip dedup and always insert.
No parameter schema on file.
Ingest up to 50 items in a single call. Each item is deduplicated (source_url → title fallback), inserted or updated, then embedded in batches of 20. Daily limit: 500 new items per user. Returns { inserted, updated, skipped, errors[] }.
No parameter schema on file.
Surface forgotten items from your corpus using weighted randomness — items you've retrieved least often are most likely to appear. Great for spaced repetition and rediscovering old saves.
No parameter schema on file.
Ingest all pages from a Notion database into your BrainTube corpus. Processes up to limit pages with 350ms delay between each. Requires set_notion_api_key first.
No parameter schema on file.
Save your Notion integration API key so ingest_notion_page and ingest_notion_database can access your Notion workspace. Get your key from https://www.notion.so/my-integrations.
No parameter schema on file.
Generate and store vector embeddings for all your items that are missing them. Required before semantic search works. Processes in batches of 20 with 200ms delays. Returns { embedded, errors } count.
No parameter schema on file.
Generate a personal API key for use with the Obsidian Sync CLI or other integrations. The raw key is shown ONCE — save it immediately. Keys are stored as SHA-256 hashes only.
No parameter schema on file.
Search the Obsidian vault connected to this BrainTube deployment through its private bridge. Returns matching notes with title, file path, and a text excerpt. Available to administrators only.
No parameter schema on file.
Ask a question to a public BrainTube Brain (a curated knowledge base built from someone's corpus). Pass the brain_slug (visible in the Brain's URL), your question, and optionally prior chat_history for multi-turn conversations. Returns answer + source citations.
No parameter schema on file.
List all Brains you have created. Returns slug, name, description, item count, tier (free/pro), and visibility (public/private). Use the slug with chat_with_brain to query a specific Brain.
No parameter schema on file.
Build a knowledge graph around a specific item, showing how it connects to other items in your corpus via knowledge_edges. Returns the center item, connected nodes with metadata, and typed edges with confidence scores. Use depth=1 for direct connections, depth=2-3 for wider neighbourhood…
No parameter schema on file.
Run a health check on your knowledge corpus. Returns total items, missing embeddings, missing enrichment, missing tags, orphan items, stale items (90d+), contradictions, overdue reviews, topic gaps, and an overall health score out of 100.
No parameter schema on file.
Get a topic-level index of your entire knowledge corpus. Groups items by primary topic and returns item count, synthesis count, average salience, latest save date, and source types per topic — sorted by item count descending. Use to understand which subjects dominate your library.
No parameter schema on file.
Export your entire BrainTube knowledge corpus as a ZIP file. Items are exported as Markdown with YAML frontmatter, concept articles go into a wiki/ folder, and an index.md is included. Returns a signed download URL valid for 1 hour.
No parameter schema on file.
Generate concept articles from a topic cluster or Brain. Synthesises saved items into structured wiki-style articles with backlinks and knowledge graph edges. Pass either cluster_id or brain_id.
No parameter schema on file.
Query compiled concept articles from your knowledge base. Filter by cluster_id, brain_id, or free-text search against title and body. Returns title, slug, word count, and backlink count per article.
No parameter schema on file.
Find tags that frequently appear together across your corpus. Returns pairs sorted by co-occurrence count — useful for discovering implicit topic clusters and knowledge relationships.
No parameter schema on file.
Find named entities (people, orgs, tools) that frequently co-appear across your corpus. Returns pairs sorted by co-occurrence count — useful for mapping who/what clusters in your knowledge base.
No parameter schema on file.
Detect knowledge gaps in your corpus: thin topics (few items), entities without depth, stale high-value items, topics missing concept articles, and unconnected items with no knowledge edges.
No parameter schema on file.
Return the items you retrieve most often, ranked by retrieval_count. Surfaces your highest-utility knowledge — the items you keep coming back to.
No parameter schema on file.
Generate a CLAUDE.md-compatible knowledge context file for any Claude Code project. Pulls your top-salience items, compiled concept articles, key topics, and top entities into a structured Markdown block you can drop into any repo.
No parameter schema on file.
Recompute salience (importance) scores across your corpus, replacing the previous scores. Useful after large imports. Returns { updated_count }.
No parameter schema on file.
Multi-hop knowledge search: runs adaptive_search then traverses the knowledge graph from the top-3 results up to max_hops deep, surfacing semantically connected items that a flat search would miss. Returns direct_results + graph_connected + total_nodes_explored.
No parameter schema on file.
Get a retrieval quality dashboard for your corpus over the past N days. Covers search hit rates, zero-result queries, top search terms, and result relevance signals.
No parameter schema on file.
Find the shortest path between two items in your knowledge graph. Traverses knowledge_edges up to max_depth hops and returns the ordered list of item IDs and edge types along the path, or "no path found" if disconnected.
No parameter schema on file.
Recompute graph centrality scores across your corpus, replacing the previous scores. Useful after new connections or concept articles are added. Returns { updated_count }.
No parameter schema on file.
Get the temporal history of knowledge edges between two specific items — when they were connected, edge types over time, confidence changes. Pass item_a and item_b as UUIDs.
No parameter schema on file.
Get current security alert status: unacknowledged alerts, recent security events (24h), taint distribution, active canary triggers, active alert suppressions, and 7-day retrieval quality metrics. Admin only.
No parameter schema on file.
Acknowledge a security alert by UUID, marking it as resolved. Optionally attach resolution notes. Admin only.
No parameter schema on file.
Temporarily suppress a specific alert type for maintenance windows. Duration 1–168 hours (max 7 days). Requires a reason. Admin only.
No parameter schema on file.
Get LLM firewall status — analytics (7d), shadow mode state, active rule versions, and adaptive threshold recommendations (30d). Admin only.
No parameter schema on file.
Promote a firewall check from shadow mode to enforcement (will block/modify), or demote back to shadow (log only). Available checks: toxicity, topic_boundary, conversation_risk, token_budget, ingress_probe, exfiltration, policy_compliance. Admin only.
No parameter schema on file.
Update a firewall threshold value with automatic versioning. Thresholds: conversation_risk_warn, conversation_risk_block, grounding_minimum, grounding_writeback_gate, exfiltration_entity_limit, exfiltration_yesno_ratio. Admin only.
No parameter schema on file.
Rollback firewall rules (thresholds, shadow_config, etc.) to a previous version. List available versions first with firewall_rule_history. Admin only.
No parameter schema on file.
View version history for a firewall rule type (thresholds, shadow_config, injection_patterns, pii_patterns, toxicity_patterns, homoglyph_map, token_limits). Shows version number, description, changed_by, and active status. Admin only.
No parameter schema on file.
- Every tool — any call limit is its publisher’s, not ours
- No card, and mcprush charges nothing for it
- Runs at its publisher’s own address — this marketplace is not in the path
- Nothing to cap, because mcprush bills nothing
What counts against your monthly calls
| Tool | Unit | Calls used | Out of the allowance |
|---|
Nothing here is billable: mcprush charges nothing to install BrainTube or to call it, at any volume.
Two independent axes, because powerful and malicious are different questions. The grade is threat only. The capability level is blast radius, and it is never a penalty on the grade — it is priced as one subtract-only term in the score, where you can see it.
This listing is an address its publisher runs, and you connect to it directly — this marketplace is not in the path. The scanner reads packages and public source, and an address is neither: the repository linked on this page is where this record was collected from, not a copy of what the address serves, so it is not graded in its place. So there is no grade — not a withheld one, an unmeasured one.
Release history
This is an address its publisher runs: which release it serves is theirs to choose, so there is nothing here to pin. The history below is for reading; the current release on file is 3.12.3.
No release note was published with this version.
One review per account, from a signed-in account that does not publish this listing. Nothing else is asked — you can say what you think before you install it. Publishers can reply once per review, and a review can be edited or deleted by whoever wrote it.
Any signed-in account that does not publish BrainTube can review it, once — before installing it or after. A review from an account that has installed it is marked as one.
Nobody has reviewed this listing. The rating on the card is the mean of the reviews written here and nothing else, so there is no rating until somebody writes the first — which takes a signed-in account that does not publish it, and nothing else.