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Vector & AI Search Stack

Build intelligent search experiences with vector databases, semantic retrieval, knowledge persistence, and structured AI reasoning.

6 servers15.4K tokens8% of context

Token Budget

15.4K used (7.7%)184.6K remaining
Weaviate MCP5.7K (2.8%)
Pinecone MCP3.6K (1.8%)
Memory MCP3.1K (1.5%)
Exa Search MCP1.5K (0.8%)
Context7 MCP1.0K (0.5%)
Sequential Thinking MCP515 (0.3%)

This stack is lightweight. Plenty of room for your prompts and code context.

Config

Paste in ~/.claude.json

json
{
  "mcpServers": {
    "weaviate-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-server-weaviate"
      ],
      "env": {
        "WEAVIATE_URL": "YOUR_WEAVIATE_URL",
        "WEAVIATE_API_KEY": "YOUR_WEAVIATE_API_KEY"
      }
    },
    "pinecone-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "@pinecone-database/mcp"
      ],
      "env": {
        "PINECONE_API_KEY": "YOUR_PINECONE_API_KEY"
      }
    },
    "memory-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-memory"
      ]
    },
    "exa-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "exa-mcp-server"
      ],
      "env": {
        "EXA_API_KEY": "YOUR_EXA_API_KEY"
      }
    },
    "context7-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "@upstash/context7-mcp"
      ]
    },
    "sequential-thinking-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-sequential-thinking"
      ]
    }
  }
}

Included Servers

Pinecone MCP

Pinecone

79
ai

Search Pinecone documentation, manage vector indexes, upsert data, query for relevant information, and rerank results from your AI editor.

533.4k/wk3.6K tokens(2%)Official2d ago

Index and query billions of vector embeddings with metadata filtering for production-scale semantic search applications.

Weaviate MCP

Weaviate

57
ai

Connect to Weaviate vector database collections for semantic search, knowledge base operations, and chat memory storage from your AI editor.

159950/wk5.7K tokens(3%)Official9mo ago

Combine vector similarity with keyword search and classification — a versatile engine for hybrid AI search architectures.

Exa Search MCP

Exa

84
search

AI-powered web search and crawling with Exa. Get semantically relevant results, extract content, and find similar pages.

3.9k6.8k/wk1.5K tokens(0.8%)Official1w ago

Search the web using natural language queries that understand intent, returning semantically relevant results instead of keyword matches.

Memory MCP

Anthropic

88
ai-tools

Enable persistent memory for Claude through a knowledge graph. Store and retrieve entities, relations, and observations across sessions.

79.2k62.1k/wk3.1K tokens(2%)Officialyesterday

Store and recall search context, user preferences, and session history to personalize results and maintain continuity.

Sequential Thinking MCP

Anthropic

93
ai-tools

Enable structured, step-by-step reasoning for complex problem solving. Helps AI break down problems into logical sequences.

79.1k56.6k/wk515 tokens(0.3%)Official5d ago

Break complex search queries into structured reasoning steps so your AI processes multi-faceted questions methodically.

Context7 MCP

Upstash

92
documentation

Pull up-to-date documentation and code examples for any library directly into your prompt context using the Context7 API.

46.6k213.3k/wk1.0K tokens(0.5%)Official4d ago

Retrieve current documentation for vector database SDKs and search libraries to ensure your implementation uses the latest APIs.