SERVER

SEC Intelligence

Rank #12,181

io.github.jahanv01/sec-intelligence-mcp

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

1 version

1 GitHub stars

by jahanv01 (1 servers)View repository ↗Claim this server

First listed

Aug 11, 2026

Last publish date

Sep 12, 2026

OVERVIEW

SEC Intelligence is a Model Context Protocol (MCP) server published by jahanv01. It ranks #12,181 of 132,046 servers tracked on MCP Toplist, and its repository has 1 GitHub stars. SEC Intelligence is listed across 2 registries — Official MCP and Glama, with 1 tracked version. It was first listed on Aug 11, 2026 and most recently updated on Sep 12, 2026.

STANDING

#12,181of 132,046 tracked serversTop 10%

Ranks ahead of 119,865 of 132,046 servers on MCP Toplist.

CONNECT

Use SEC Intelligence

API keyNeeds credentials

Requires user-supplied configuration before first use — typically an API key, token or connection string set via environment variables.

Python package (PyPI)

claude mcp add sec-intelligence-mcp -e "GEMINI_API_KEY=<your GEMINI_API_KEY>" -e "QDRANT_URL=<your QDRANT_URL>" -e "QDRANT_API_KEY=<your QDRANT_API_KEY>" -e "LANGFUSE_SECRET_KEY=<your LANGFUSE_SECRET_KEY>" -e "LANGFUSE_PUBLIC_KEY=<your LANGFUSE_PUBLIC_KEY>" -e "SEC_EDGAR_USER_AGENT=<your SEC_EDGAR_USER_AGENT>" -e "EMBEDDING_MODEL=<your EMBEDDING_MODEL>" -e "GEMINI_MODEL=<your GEMINI_MODEL>" -- uvx sec-intelligence-mcp

Replace each placeholder with your own value before saving.

Python package (PyPI)

[mcp_servers.sec-intelligence-mcp]
command = "uvx"
args = ["sec-intelligence-mcp"]

[mcp_servers.sec-intelligence-mcp.env]
GEMINI_API_KEY = "<your GEMINI_API_KEY>"
QDRANT_URL = "<your QDRANT_URL>"
QDRANT_API_KEY = "<your QDRANT_API_KEY>"
LANGFUSE_SECRET_KEY = "<your LANGFUSE_SECRET_KEY>"
LANGFUSE_PUBLIC_KEY = "<your LANGFUSE_PUBLIC_KEY>"
SEC_EDGAR_USER_AGENT = "<your SEC_EDGAR_USER_AGENT>"
EMBEDDING_MODEL = "<your EMBEDDING_MODEL>"
GEMINI_MODEL = "<your GEMINI_MODEL>"

Add to ~/.codex/config.toml. Replace each placeholder with your own value before saving.

Python package (PyPI)

{
  "mcpServers": {
    "sec-intelligence-mcp": {
      "command": "uvx",
      "args": [
        "sec-intelligence-mcp"
      ],
      "env": {
        "GEMINI_API_KEY": "<your GEMINI_API_KEY>",
        "QDRANT_URL": "<your QDRANT_URL>",
        "QDRANT_API_KEY": "<your QDRANT_API_KEY>",
        "LANGFUSE_SECRET_KEY": "<your LANGFUSE_SECRET_KEY>",
        "LANGFUSE_PUBLIC_KEY": "<your LANGFUSE_PUBLIC_KEY>",
        "SEC_EDGAR_USER_AGENT": "<your SEC_EDGAR_USER_AGENT>",
        "EMBEDDING_MODEL": "<your EMBEDDING_MODEL>",
        "GEMINI_MODEL": "<your GEMINI_MODEL>"
      }
    }
  }
}

Add to claude_desktop_config.json (Settings → Developer → Edit Config). Replace each placeholder with your own value before saving.

Python package (PyPI)

{
  "mcpServers": {
    "sec-intelligence-mcp": {
      "command": "uvx",
      "args": [
        "sec-intelligence-mcp"
      ],
      "env": {
        "GEMINI_API_KEY": "<your GEMINI_API_KEY>",
        "QDRANT_URL": "<your QDRANT_URL>",
        "QDRANT_API_KEY": "<your QDRANT_API_KEY>",
        "LANGFUSE_SECRET_KEY": "<your LANGFUSE_SECRET_KEY>",
        "LANGFUSE_PUBLIC_KEY": "<your LANGFUSE_PUBLIC_KEY>",
        "SEC_EDGAR_USER_AGENT": "<your SEC_EDGAR_USER_AGENT>",
        "EMBEDDING_MODEL": "<your EMBEDDING_MODEL>",
        "GEMINI_MODEL": "<your GEMINI_MODEL>"
      }
    }
  }
}

Add to ~/.cursor/mcp.json (global) or .cursor/mcp.json (per project). Replace each placeholder with your own value before saving.

Python package (PyPI)

{
  "servers": {
    "sec-intelligence-mcp": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "sec-intelligence-mcp"
      ],
      "env": {
        "GEMINI_API_KEY": "<your GEMINI_API_KEY>",
        "QDRANT_URL": "<your QDRANT_URL>",
        "QDRANT_API_KEY": "<your QDRANT_API_KEY>",
        "LANGFUSE_SECRET_KEY": "<your LANGFUSE_SECRET_KEY>",
        "LANGFUSE_PUBLIC_KEY": "<your LANGFUSE_PUBLIC_KEY>",
        "SEC_EDGAR_USER_AGENT": "<your SEC_EDGAR_USER_AGENT>",
        "EMBEDDING_MODEL": "<your EMBEDDING_MODEL>",
        "GEMINI_MODEL": "<your GEMINI_MODEL>"
      }
    }
  }
}

Save as .vscode/mcp.json in your workspace. Replace each placeholder with your own value before saving.

Python package (PyPI)

{
  "mcpServers": {
    "sec-intelligence-mcp": {
      "command": "uvx",
      "args": [
        "sec-intelligence-mcp"
      ],
      "env": {
        "GEMINI_API_KEY": "<your GEMINI_API_KEY>",
        "QDRANT_URL": "<your QDRANT_URL>",
        "QDRANT_API_KEY": "<your QDRANT_API_KEY>",
        "LANGFUSE_SECRET_KEY": "<your LANGFUSE_SECRET_KEY>",
        "LANGFUSE_PUBLIC_KEY": "<your LANGFUSE_PUBLIC_KEY>",
        "SEC_EDGAR_USER_AGENT": "<your SEC_EDGAR_USER_AGENT>",
        "EMBEDDING_MODEL": "<your EMBEDDING_MODEL>",
        "GEMINI_MODEL": "<your GEMINI_MODEL>"
      }
    }
  }
}

Add to ~/.codeium/windsurf/mcp_config.json. Replace each placeholder with your own value before saving.

Python package (PyPI)

{
  "mcpServers": {
    "sec-intelligence-mcp": {
      "command": "uvx",
      "args": [
        "sec-intelligence-mcp"
      ],
      "env": {
        "GEMINI_API_KEY": "<your GEMINI_API_KEY>",
        "QDRANT_URL": "<your QDRANT_URL>",
        "QDRANT_API_KEY": "<your QDRANT_API_KEY>",
        "LANGFUSE_SECRET_KEY": "<your LANGFUSE_SECRET_KEY>",
        "LANGFUSE_PUBLIC_KEY": "<your LANGFUSE_PUBLIC_KEY>",
        "SEC_EDGAR_USER_AGENT": "<your SEC_EDGAR_USER_AGENT>",
        "EMBEDDING_MODEL": "<your EMBEDDING_MODEL>",
        "GEMINI_MODEL": "<your GEMINI_MODEL>"
      }
    }
  }
}

Replace each placeholder with your own value before saving.

BADGE

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Markdown

[![MCP Toplist](https://mcptoplist.com/badge/io.github.jahanv01%2Fsec-intelligence-mcp.svg)](https://mcptoplist.com/server/io.github.jahanv01%2Fsec-intelligence-mcp)

HTML

<a href="https://mcptoplist.com/server/io.github.jahanv01%2Fsec-intelligence-mcp"><img src="https://mcptoplist.com/badge/io.github.jahanv01%2Fsec-intelligence-mcp.svg" alt="MCP Toplist: Top 10% of 132,046" /></a>

Variants: append ?metric=score or ?metric=stars to the image URL.

REGISTRIES

Listed on 2 registries

Glama

Official MCP

ORGANIZATION

jahanv01

Organization

jahanv01

Servers in org

Versions across org

VERSIONS

Available versions (1)

Version	Published
0.1.1	Sep 12, 2026

FAQ

Frequently asked questions

Who maintains SEC Intelligence?: SEC Intelligence is maintained by jahanv01, which publishes 1 MCP server (1 total version) tracked on MCP Toplist.
Is SEC Intelligence listed on the Official MCP Registry?: Yes — SEC Intelligence is listed on the Official MCP Registry, alongside Glama.
How many versions does SEC Intelligence have?: MCP Toplist tracks 1 version of SEC Intelligence, most recently published on Sep 12, 2026.
Where can I find the source code for SEC Intelligence?: The source code for SEC Intelligence is hosted at github.com/jahanv01/sec-intelligence-mcp.

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