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SEC EDGAR in 22 tools: 10-K/10-Q/8-K text, XBRL facts, insider trades, 13F, full-text search.
sec-ai: SEC EDGAR is an MCP server entry in ChatHome Skills, sourced from Official MCP Registry and scored 78/100. As a Model Context Protocol server, it exposes tools that MCP-compatible LLM clients such as Claude, Cursor, and Copilot can call directly, extending an agent's reach beyond its built-in capabilities. ChatHome Skills discovered this entry through its daily ingest of official registries and GitHub discovery queries, and re-verifies repository facts, freshness signals, and install metadata on every run. The quality score weighs official-registry presence, a working install command, license clarity, GitHub star trajectory, and repository freshness — the full formula is on the Sources page. The install command above is ready to copy. Review the last-pushed date and repository status before adding sec-ai: SEC EDGAR to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.
uvx sec-finance-ai==2.0.5Review the upstream source before running this command.
{
"_meta": {
"io.modelcontextprotocol.registry/official": {
"status": "active",
"isLatest": true,
"updatedAt": "2026-10-21T05:00:34.719066Z",
"publishedAt": "2026-10-21T05:00:34.719066Z",
"statusChangedAt": "2026-10-21T05:00:34.719066Z"
}
},
"server": {
"name": "io.github.lkcair/sec-ai",
"title": "sec-ai: SEC EDGAR",
"$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
"version": "2.0.5",
"packages": [
{
"version": "2.0.5",
"transport": {
"type": "stdio"
},
"identifier": "sec-finance-ai",
"registryType": "pypi",
"environmentVariables": [
{
"name": "SEC_USER_AGENT",
"format": "string",
"description": "Name and e-mail sent to the SEC, e.g. 'Jane Doe jane@example.com'. A built-in default is used if unset."
}
]
}
],
"repository": {
"url": "https://github.com/lkcair/sec-ai-mcp",
"source": "github"
},
"websiteUrl": "https://github.com/lkcair/sec-finance-ai",
"description": "SEC EDGAR in 22 tools: 10-K/10-Q/8-K text, XBRL facts, insider trades, 13F, full-text search."
}
}