Improve RAG Search Quality Using MCP Servers.
Your RAG retrieves 10 documents but the answer is in #7 , Cohere reranking moves it to #1 and accuracy jumps from 68% to 94% without changing a single embedding
Works with every AI agent you already use
…and any MCP-compatible client
Waiting for input…
Gemini How It Works
Weaviate retrieves top-20 by embedding similarity. Cohere cross-encoder reranks by true query-document relevance. Document #7 moves to #1. Google Sheets tracks the improvement: 68% 94% top-3 accuracy.
The single highest-ROI upgrade for any RAG system , 15 minutes of integration, 30% accuracy gain.
MCP Server Orchestration: 3 MCP Servers, one intelligent agent
Connect Cohere, Weaviate and Google Sheets so your AI agent retrieves candidates from Weaviate, applies Cohere neural reranking to reorder by true relevance, and tracks quality in Sheets with before/after accuracy.
Cohere
enrichmentNeural reranking for true query relevance
rerank embed chat list_models Weaviate
triggerSemantic vector search retrieval
search_near_vector list_objects get_object_details get_full_schema Google Sheets
actionQuality metrics dashboard
create_spreadsheet update_sheet_values append_sheet_values get_sheet_values Run This Automation Today
Connect Claude, ChatGPT, Cursor, or any AI agent to the Vinkius catalog and run this automation in minutes.
Build Your Own MCP
Turn any internal API into an MCP server. Import a spec, define Agent Skills, or deploy with MCPFusion.
- Import from OpenAPI, Swagger, or YAML specs
- Create Agent Skills with progressive disclosure
- Deploy to edge with MCPFusion framework
- Built in DLP, auth, and compliance on every call
- Real time usage dashboard and cost metering
- Publish to catalog or keep private
Connect & Automate
The 3 servers this recipe uses are ready in the catalog. Connect them once, paste a prompt, and your AI runs the full workflow.
- Cohere, Weaviate & Google Sheets ready in the catalog right now
- Add more from 4,700+ servers whenever you need
- Every connection is secured and compliant automatically
- Track usage and costs across all your servers
- Works with Claude, ChatGPT, Cursor, and more
- New servers and recipes added every week
Superpowers you didn't know your AI had
The Vinkius catalog gives your agent access to 4,700+ MCP servers and the intelligence to combine them. Imagine never logging into another dashboard. Your AI handles the work across every tool, in one conversation. That's what this infrastructure was built for.
Cross-Platform Intelligence
Your agent doesn't just connect to tools. It understands the relationships between them. Data flows where it needs to go, automatically, with full context preserved across every platform.
Contextual Reasoning
Every decision your agent makes considers the full picture. It reads CRM data, checks calendars, reviews conversation history, and acts on everything at once. Not step by step. All at once.
Productivity at Scale
What used to take 45 minutes across five different dashboards now takes one sentence. Your agent runs the entire workflow end to end while you focus on decisions that actually matter.
Zero-Config Reliability
No API keys to paste. No webhooks to configure. No YAML to debug. Connect your MCP servers once, and your agent handles the rest. Every time, without intervention.
Made for
exactly this
Your AI agent taps into the entire Vinkius MCP catalog to handle these for you. You describe what you need. It does the rest.
AI engineers wanting the single highest-impact RAG accuracy improvement
Builders debugging inconsistent RAG answers with before/after reranking analysis
Startups optimizing RAG quality with A/B data to justify reranking investment
AI enthusiasts learning advanced retrieval with vector search + neural reranking
Frequently Asked Questions About This MCP Server Orchestration
Which MCP servers do I need?
Three: Cohere, Weaviate and Google Sheets.
Does this work with Claude Desktop?
Yes. Any MCP-compatible AI client works.
Can I use this with other vector databases?
Yes. Cohere reranking works with any retrieval source.
Is my data secure?
MCP servers authenticate via API keys. Data stays in your accounts.
Find Codebase Duplications Using MCP Servers
Your codebase has 4 different implementations of date formatting, 3 versions of the retry logic, and 2 competing validation libraries , but nobody knows because grep only finds exact matches and these duplicates are semantic
MCP Servers for Self-Updating Research Bases
You spend 3 hours reading 40 articles to write one research brief , an AI agent with Firecrawl reads all 40 in 90 seconds, stores them semantically in Weaviate, and writes the brief in Notion with every source linked and every claim verified
Search Your Entire Codebase Using MCP Servers
Code indexed, patterns detected, architecture documented, onboarding guides generated , build a living knowledge base from your codebase
Benchmark Seed Valuations Using MCP Servers
Your portfolio valuations compared, market comps pulled, benchmark report built , know if $12M pre-money for a Seed is reasonable before you negotiate
Book Appointments via WhatsApp Using MCP
Your AI agent checks availability, sends time slots via WhatsApp and logs every booking
Build Serverless Data Warehouses Using MCP
You scrape data into CSV files that nobody queries , Firecrawl extracts structured web data, Neon stores it in serverless PostgreSQL you can query with SQL, and Sheets visualizes the results
MCP servers used in this workflow
Cohere
Cohere. Access enterprise AI models directly from your agent. This server lets your AI client chat with Command models, generate vector embeddings, rerank documents for search, and tokenize text—all from one place. Use it to build sophisticated RAG pipelines or conversational agents without switching between APIs or writing custom HTTP code.
Weaviate
Weaviate MCP Server lets your AI client interact directly with a vector database. You can run semantic searches against massive collections, check the health of your cluster nodes, and manage schemas—all through natural conversation. It bypasses complex console UIs for data discovery and retrieval.
Google Sheets
Google Sheets MCP Server lets your AI client read, write, and manage data directly in Google Sheets. Use conversational commands to pull data from specific ranges, append new rows, or structure entire spreadsheets. It acts as an analyst, letting you manipulate complex data without opening the GUI or writing formulas.