Side-by-Side Model Context Protocol Comparison
Trieve vs Vaaya
In-depth architectural comparison of the Trieve and Vaaya MCP servers. Compare execution transports, security boundaries, tool capabilities, quality scores, and ready-to-paste client installation snippets for Claude, Cursor, Windsurf, and VS Code.
At a Glance & Executive Verdict
Trieve
Search & Data Extraction · Local stdio
Quality: 51/100 (Good) | Auth: API Key required
Vaaya
Search & Data Extraction · Local stdio
Quality: 40/100 (Fair) | Auth: No auth required
Verdict Summary: Choose Trieve if you need specialized Search & Data Extraction tools running via a local process. Choose Vaaya if your workspace requires Search & Data Extraction integration with local subprocess execution. Both servers can be configured concurrently in your client's
mcpServers manifest.Which MCP Server Should You Choose?
Choose Trieve when:
- You need dedicated capabilities in the Search & Data Extraction domain.
- You prefer local stdio subprocess transport architecture.
- Your security boundary fits: API Key required (Freemium).
- You have access to required keys:
TRIEVE_API_KEY, TRIEVE_OPENAI_API_KEY, TRIEVE_QDRANT_URL, TRIEVE_QDRANT_API_KEY, TRIEVE_OPENROUTER_API_KEY. - Primary tools included: Self-hosting support for AWS, GCP, Kubernetes, Docker Compose, Semantic dense vector search with OpenAI/Jina embeddings and Qdrant, Typo tolerant neural sparse-vector search using SPLADE model.
Choose Vaaya when:
- You need dedicated capabilities in the Search & Data Extraction domain.
- You prefer local stdio subprocess transport architecture.
- Your security boundary fits: No auth required (Free / Open Source).
Feature & Specification Comparison
Tools & Capabilities Breakdown
Trieve Tools (6)
Self-hosting support for AWS, GCP, Kubernetes, Docker Compose
Semantic dense vector search with OpenAI/Jina embeddings and Qdrant
Typo tolerant neural sparse-vector search using SPLADE model
Sub-sentence highlighting of matched query terms
Recommendation API for similar chunks or files
RAG API routes integrated with OpenRouter for LLM access
Vaaya Tools (0)
No explicit tool names declared in metadata yet. Check project README on main listing page.
Ready-to-Paste Client Configurations
Paste either (or both) of these JSON server blocks into your client config file (e.g. claude_desktop_config.json or ~/.cursor/mcp.json).
Trieve Configuration
Vaaya Configuration