SEC Intelligence runs on your own machine — the client starts it, so there is no endpoint to ping. Last commit 12 Sep 2026.
SEC 10-K/10-Q/8-K search, RAG Q&A, comparison, and anomaly detection with citations.
Today is the operative word: we check SEC Intelligence every 15 minutes and re-read its code on every release. Watch it and you find out the day that stops being true.
This server runs on your own machine — install it with the package manager and the client starts it for you. Package name taken from the official registry entry.
claude mcp add sec-intelligence-mcp -- uvx sec-intelligence-mcp
{
"mcpServers": {
"sec-intelligence-mcp": {
"args": [
"sec-intelligence-mcp"
],
"command": "uvx"
}
}
}
[mcp_servers.sec-intelligence-mcp]
command = "uvx"
args = ["sec-intelligence-mcp"]
{
"mcpServers": {
"sec-intelligence-mcp": {
"args": [
"sec-intelligence-mcp"
],
"command": "uvx"
}
}
}
{
"mcpServers": {
"sec-intelligence-mcp": {
"args": [
"sec-intelligence-mcp"
],
"command": "uvx"
}
}
}
This one needs environment variables set before it will start:
GEMINI_API_KEY (Google Gemini API key (free tier). Get one at https://aistudio.google.com/apikey), QDRANT_URL (Qdrant vector database URL, e.g. http://localhost:6333 for local Docker, or a Qdrant Cloud cluster URL), QDRANT_API_KEY (Only needed for a hosted Qdrant Cloud instance; leave unset for local Qdrant), LANGFUSE_SECRET_KEY (LangFuse secret key for observability (free tier). Get one at https://cloud.langfuse.com), LANGFUSE_PUBLIC_KEY (LangFuse public key, paired with LANGFUSE_SECRET_KEY), SEC_EDGAR_USER_AGENT (Identifying User-Agent for SEC EDGAR requests, e.g. "YourApp [email protected]"), EMBEDDING_MODEL (sentence-transformers model for embeddings), GEMINI_MODEL (Gemini model for answer generation).
The author declared them in the registry entry; get the values from the project itself.
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Answers built from our own checks of this server.