StackMCP

Search & RAG Stack for Windsurf

Advanced6 servers18.0K tokens

Configuration

{
  "mcpServers": {
    "pinecone-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "@pinecone-database/mcp"
      ],
      "env": {
        "PINECONE_API_KEY": "YOUR_PINECONE_API_KEY"
      }
    },
    "weaviate-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-server-weaviate"
      ],
      "env": {
        "WEAVIATE_URL": "YOUR_WEAVIATE_URL",
        "WEAVIATE_API_KEY": "YOUR_WEAVIATE_API_KEY"
      }
    },
    "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"
      ]
    },
    "firecrawl-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "firecrawl-mcp"
      ],
      "env": {
        "FIRECRAWL_API_KEY": "YOUR_FIRECRAWL_API_KEY"
      }
    },
    "memory-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-memory"
      ]
    }
  }
}

Where to save

Paste the config above into:

~/.codeium/windsurf/mcp_config.json

Environment Variables

Replace the YOUR_ placeholders with your actual values.

PINECONE_API_KEYrequired

Pinecone API key for authentication

Used by: Pinecone MCP

WEAVIATE_URLrequired

Weaviate instance URL

Used by: Weaviate MCP

WEAVIATE_API_KEY

Weaviate API key for authentication

Used by: Weaviate MCP

EXA_API_KEYrequired

Exa API key

Used by: Exa Search MCP

FIRECRAWL_API_KEYrequired

Firecrawl API key

Used by: Firecrawl MCP

What’s in this stack

Pinecone MCP7 tools

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

Store and query high-dimensional vector embeddings at scale for fast, accurate semantic search across your knowledge base.

Weaviate MCP11 tools

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

Run hybrid vector and keyword search with built-in vectorization modules — great for multi-modal RAG pipelines.

Exa Search MCP3 tools

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

Perform AI-native web search that understands semantic meaning, retrieving the most relevant sources for your RAG context window.

Context7 MCP2 tools

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

Pull current library and framework documentation into your retrieval pipeline so generated answers reflect the latest APIs.

Firecrawl MCP6 tools

Scrape and crawl websites, extract structured data, and perform batch web scraping with LLM-powered content analysis.

Crawl and extract clean content from any website to build and refresh your RAG knowledge base automatically.

Memory MCP6 tools

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

Persist conversation context, retrieved facts, and user preferences across sessions for continuity in multi-turn RAG applications.

Other editors

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