SEC Intelligence for VS Code
io.github.jahanv01/sec-intelligence-mcp
SEC 10-K/10-Q/8-K search, RAG Q&A, comparison, and anomaly detection with citations.
client:VS Code
transport:stdio
runtime:pypi
Install SEC Intelligence in VS Code
.vscode/mcp.json
{
"inputs": [
{
"type": "promptString",
"id": "gemini-api-key",
"description": "GEMINI_API_KEY",
"password": true
},
{
"type": "promptString",
"id": "qdrant-url",
"description": "QDRANT_URL",
"password": true
},
{
"type": "promptString",
"id": "qdrant-api-key",
"description": "QDRANT_API_KEY",
"password": true
},
{
"type": "promptString",
"id": "langfuse-secret-key",
"description": "LANGFUSE_SECRET_KEY",
"password": true
},
{
"type": "promptString",
"id": "langfuse-public-key",
"description": "LANGFUSE_PUBLIC_KEY",
"password": true
},
{
"type": "promptString",
"id": "sec-edgar-user-agent",
"description": "SEC_EDGAR_USER_AGENT",
"password": true
},
{
"type": "promptString",
"id": "embedding-model",
"description": "EMBEDDING_MODEL",
"password": true
},
{
"type": "promptString",
"id": "gemini-model",
"description": "GEMINI_MODEL",
"password": true
}
],
"servers": {
"sec-intelligence-mcp": {
"type": "stdio",
"command": "uvx",
"args": [
"sec-intelligence-mcp"
],
"env": {
"GEMINI_API_KEY": "${input:gemini-api-key}",
"QDRANT_URL": "${input:qdrant-url}",
"QDRANT_API_KEY": "${input:qdrant-api-key}",
"LANGFUSE_SECRET_KEY": "${input:langfuse-secret-key}",
"LANGFUSE_PUBLIC_KEY": "${input:langfuse-public-key}",
"SEC_EDGAR_USER_AGENT": "${input:sec-edgar-user-agent}",
"EMBEDDING_MODEL": "${input:embedding-model}",
"GEMINI_MODEL": "${input:gemini-model}"
}
}
}
}VS Code prompts for each input the first time the server starts, so no secret is written to the file. VS Code docs