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Sec Intelligence MCP Server

Developer ToolsLow Risk10.0MCP RegistryLocal
Free

Server data from the Official MCP Registry

SEC 10-K/10-Q/8-K search, RAG Q&A, comparison, and anomaly detection with citations.

About

SEC 10-K/10-Q/8-K search, RAG Q&A, comparison, and anomaly detection with citations.

Security Report

10.0
Low Risk10.0Low Risk

Valid MCP server (2 strong, 1 medium validity signals). No known CVEs in dependencies. Imported from the Official MCP Registry. 1 finding(s) downgraded by scanner intelligence.

7 files analyzed · 1 issue found

Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.

Permissions Required

This plugin requests these system permissions. Most are normal for its category.

file_system

Check that this permission is expected for this type of plugin.

What You'll Need

Set these up before or after installing:

Google Gemini API key (free tier). Get one at https://aistudio.google.com/apikeyRequired

Environment variable: GEMINI_API_KEY

Qdrant vector database URL, e.g. http://localhost:6333 for local Docker, or a Qdrant Cloud cluster URLOptional

Environment variable: QDRANT_URL

Only needed for a hosted Qdrant Cloud instance; leave unset for local QdrantRequired

Environment variable: QDRANT_API_KEY

LangFuse secret key for observability (free tier). Get one at https://cloud.langfuse.comRequired

Environment variable: LANGFUSE_SECRET_KEY

LangFuse public key, paired with LANGFUSE_SECRET_KEYOptional

Environment variable: LANGFUSE_PUBLIC_KEY

Identifying User-Agent for SEC EDGAR requests, e.g. "YourApp you@email.com"Optional

Environment variable: SEC_EDGAR_USER_AGENT

sentence-transformers model for embeddingsOptional

Environment variable: EMBEDDING_MODEL

Gemini model for answer generationOptional

Environment variable: GEMINI_MODEL

How to Install

Add this to your MCP configuration file:

{
  "mcpServers": {
    "io-github-jahanv01-sec-intelligence-mcp": {
      "env": {
        "QDRANT_URL": "your-qdrant-url-here",
        "GEMINI_MODEL": "your-gemini-model-here",
        "GEMINI_API_KEY": "your-gemini-api-key-here",
        "QDRANT_API_KEY": "your-qdrant-api-key-here",
        "EMBEDDING_MODEL": "your-embedding-model-here",
        "LANGFUSE_PUBLIC_KEY": "your-langfuse-public-key-here",
        "LANGFUSE_SECRET_KEY": "your-langfuse-secret-key-here",
        "SEC_EDGAR_USER_AGENT": "your-sec-edgar-user-agent-here"
      },
      "args": [
        "sec-intelligence-mcp"
      ],
      "command": "uvx"
    }
  }
}

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