
Build Vault
Turns The Build Podcast episodes into a searchable database of AI insights, business ideas, and product information using semantic and full-text search.
Transforms The Build Podcast into a searchable knowledge base using hybrid vector and full-text search, providing semantic search across business ideas, frameworks, products, and expert insights from podcast episodes with speaker-specific filtering and analytics resources.
What it does
- Search AI products using natural language queries
- Find business ideas and frameworks from podcast episodes
- Filter content by specific speakers or date ranges
- Discover similar products using vector similarity
- Retrieve detailed product information and insights
- Get chronological insights across multiple episodes
Best for
About Build Vault
Build Vault is a community-built MCP server published by the-build-podcast that provides AI assistants with tools and capabilities via the Model Context Protocol. Discover Build Vault: your searchable knowledge base for The Build Podcast. Semantic search, filters & expert insights a It is categorized under ai ml, analytics data. This server exposes 11 tools that AI clients can invoke during conversations and coding sessions.
How to install
You can install Build Vault in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server supports remote connections over HTTP, so no local installation is required.
License
Build Vault is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
Tools (11)
List AI products from vault.buildaipod.com with optional filtering
Semantic search for AI products using natural language
Get detailed information about a specific AI product
Find products similar to a given product using vector similarity
Find AI products within a specific date range
The Build Vault MCP Server
Overview
A Model Context Protocol (MCP) server that transforms The Build Podcast into a searchable knowledge base with thousands of AI insights using advanced hybrid search. Combines vector semantic similarity with full-text search to help you discover business ideas, frameworks, and product strategies. Access the collective wisdom of builders and entrepreneurs through natural language queries, making podcast knowledge instantly actionable.
Background
Our MCP Server sources it's information from The Build Vault. The Build Vault is an intelligent archive of AI-focused insights, products, ideas and news extracted from The Build Podcast episodes. The backend powers a sophisticated AI-driven data processing pipeline that consists of the following stages:
Core Processing Pipeline
- YouTube Episode Extraction and Audio Download
- AssemblyAI Transcriptions with speaker diarization, sentiment analysis, and auto highlights
- Segment Processing with AI-enhanced titles, topics, and key phrases
LLM Driven Content Extraction
- 150-250 word summaries
- Extract insights across Frameworks & Exercises, Points of View, Business Ideas, Stories & Anecdotes, Quotes, and Products
- Product Extraction: Automatically identifies and tracks product mentions from insights, preparing them for enrichment workflows
- Link Processing: Extracts URLs from YouTube descriptions and enriches them with AI-powered summaries, categorization, and key takeaways
Advanced Search & Discovery
- Vector Embeddings: Generates embeddings for semantic search capabilities
- Hybrid Search: Combines vector similarity search with full-text search
MCP Client Configuration
Known Client Compatibility:
- Claude Desktop
- Claude Code
- Goose
- OpenAI ChatGPT (chat.openai.com)
- OpenAI Playground
Claude Desktop
{
"mcpServers": {
"build-vault": {
"command": "npx",
"args": ["-y", "mcp-remote", "https://mcp.buildaipod.com/mcp"]
}
}
}
Claude Code
claude mcp add build-vault -s user --transport http https://mcp.buildaipod.com/mcp
Goose AI Extension
OpenAI ChatGPT (Custom Connectors)
OpenAI Playground
MCP Version Compatability
MCP 2025-06-18 Compliance
- Protocol Version: 2025-06-18 with full specification compliance
- Structured Output: Enhanced tools with
outputSchemaandstructuredContent - Elicitation Support: Declared capability with intelligent follow-up suggestions
- Title Fields: All tools, resources, and prompts include descriptive titles
- Resource Links: Cross-referencing between related content
- Transports: stdio + Streamable HTTP
Enhanced Compatability
- OpenAI Deep Research: Compatible with OpenAI's Deep Research Custom Connectors
Vault Discovery Tools (12 Total)
- List Products: Browse AI products with filtering and pagination
- Search Products: Semantic search using embeddings (3072 dimensions)
- Product Details: Comprehensive product information with resource links
- Find Similar: Vector similarity search for related products
- Search by Speaker: Filter insights by podcast speakers (Tom Spencer, Cameron Rohn)
- Search by Date Range: Find products within specific time periods
- Search by Category: Filter by 6 content categories (business_ideas, frameworks_and_exercises, products, points_of_view, stories_and_anecdotes, quotes)
- Search by Timeframe: Find insights within episode timestamps
- Speaker Summary: Comprehensive speaker statistics and insights
- Timeline Insights: Chronologically ordered insights with metadata
- Search (Deep Research): Natural language search for AI insights and episodes
- Fetch (Deep Research): Get complete content with full context and metadata
Analytics Resources with Elicitation (4 Total)
- Trending Insights: High-confidence insights with smart follow-up suggestions
- Category Distribution: Live analytics on content breakdown by category
- Episode Timeline: Chronological episode data with insight counts
- Speaker Analytics: Real-time speaker statistics and content analysis
Guided Prompts (4 Total)
- Find Business Ideas: Discover business insights and opportunities
- Explore Frameworks: Structured exploration of frameworks and exercises
- Timeline Analysis: Chronological exploration of topics and themes
- Compare Content Types: Compare different categories of insights
Enhanced Elicitation Features
When accessing resources, the server provides intelligent follow-up suggestions:
- Category Analysis: "Found 9 product insights, 6 points_of_view insights"
- Speaker Breakdown: "Cameron Rohn (11 insights), Tom Spencer (8 insights)"
- Tool Recommendations: Specific next-step suggestions with usage examples
- Semantic Search Guidance: Query suggestions based on actual content
OpenAI Deep Research Integration
This server is compatible with OpenAI's Deep Research Custom Connectors. The search and fetch tools are specifically designed to work with Deep Research models:
- Search Tool: Accepts natural language queries (e.g., "insights about AI agents") and returns results in the format
{id, title, text, url} - Fetch Tool: Retrieves complete content with metadata for deep analysis and citation
Usage Examples
Discovering AI Products
- Browse Categories: Use
search_by_categorywith "products" to see 334 product insights - Semantic Search: Try
search_productswith "AI agents" or "LangChain" - Trending Content: Access
vault://trending_insightsresource for top 20 high-confidence insights - Follow Suggestions: Look for "What's Next?" sections with intelligent recommendations
Example Searches
Try these searches to get started:
- "What frameworks exist for prompt engineering?"
- "Business ideas in the healthcare AI space"
- "What did Tom Spencer say about LangChain?"
- "Insights about AI safety and alignment"
- "Products for building chatbots"
Available Tools
| Tool | Name | Description | Parameters |
|---|---|---|---|
| List Products | list_products | Browse AI products with filtering and pagination | limit, offset, category, approved_only |
| Search Products | search_products | Semantic search across all products | query, limit, category |
| Get Product Details | get_product_details | Get comprehensive information about a specific product | product_id |
| Find Similar Products | find_similar_products | Find products similar to a given one | product_id, limit |
| Search by Speaker | search_by_speaker | Filter insights by podcast speaker | speaker_name, limit |
| Search by Date Range | search_by_date_range | Find products within date range | start_date, end_date, limit |
| Search by Category | search_by_category | Filter by content category | category, limit |
| Search by Timeframe | search_by_timeframe | Find insights within episode timestamps | start_time, end_time, episode_id |
| Get Speaker Summary | get_speaker_summary | Get comprehensive speaker statistics | speaker_name |
| Get Timeline Insights | get_timeline_insights | Get chronologically ordered insights | limit, start_date, end_date |
| Search | search | Natural language search for ChatGPT Connectors | query |
| Fetch | fetch | Get complete content with metadata for ChatGPT Connectors | id |
Available Resources
| Resource | URI | Description |
|---|---|---|
| Trending Insights | vault://trending_insights | Most recent and popular insights with engagement metrics |
| Category Distribution | vault://category_distribution | Analytics on content breakdown by categories |
| Episode Timeline | vault://episode_timeline | Chronological episode data with duration and metadata |
| Speaker Analytics | vault://speaker_analytics | Speaker-specific statistics and content breakdown |
| Discovery Guide | vault://guide/discovery | How to find and evaluate AI products |
| Product Catalog | vault://product_catalog | Overview of all products with categories and approval status |
| Technical Domains | vault://technical_domains | Analysis of technical domains and tool categories |
| Episode-Insights Map | vault://episode_insights_map | Comprehensive mapping of episodes to their insights and products |
Available Prompts
| Prompt | Name | Description | Arguments |
|---|---|---|---|
| Find Business Ideas | find_business_ideas | Guided workflow to discover business insights and opportunities | industry (optional), focus (optional) |
| Explore Frameworks | explore_frameworks | Structured exploration of frameworks and exercises | domain (optional), purpose (optional) |
| Timeline Analysis | timeline_analysis | Chronological exploration of topics and themes | speaker_focus (optional), theme (optional) |
| Compare Content Types | compare_content_types | Compare different categories of insights and content | categories (optional), criteria (optional) |
README truncated. View full README on GitHub.
Alternatives
Related Skills
Browse all skillsTransform data into compelling narratives using visualization, context, and persuasive structure. Use when presenting analytics to stakeholders, creating data reports, or building executive presentations.
World-class data science skill for statistical modeling, experimentation, causal inference, and advanced analytics. Expertise in Python (NumPy, Pandas, Scikit-learn), R, SQL, statistical methods, A/B testing, time series, and business intelligence. Includes experiment design, feature engineering, model evaluation, and stakeholder communication. Use when designing experiments, building predictive models, performing causal analysis, or driving data-driven decisions.
Master dbt (data build tool) for analytics engineering with model organization, testing, documentation, and incremental strategies. Use when building data transformations, creating data models, or implementing analytics engineering best practices.
Funnel Analysis Builder - Auto-activating skill for Data Analytics. Triggers on: funnel analysis builder, funnel analysis builder Part of the Data Analytics skill category.
Build scalable data pipelines, modern data warehouses, and real-time streaming architectures. Implements Apache Spark, dbt, Airflow, and cloud-native data platforms. Use PROACTIVELY for data pipeline design, analytics infrastructure, or modern data stack implementation.
Implement vault data backup, sync, and recovery strategies. Use when building backup features, implementing data export, or handling vault synchronization in your plugin. Trigger with phrases like "obsidian backup", "obsidian sync", "obsidian data export", "vault backup strategy".