Server data from the Official MCP Registry
Certified SEC EDGAR fact memory for AI agents with zero hallucination and filing provenance.
About
Certified SEC EDGAR fact memory for AI agents with zero hallucination and filing provenance.
Remote endpoints: streamable-http: https://finsec.caleralabs.com/mcp
Security Report
Valid MCP server (1 strong, 1 medium validity signals). No known CVEs in dependencies. Imported from the Official MCP Registry.
7 tools verified · Open access · No issues 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.
How to Connect
Remote Plugin
No local installation needed. Your AI client connects to the remote endpoint directly.
Add this to your MCP configuration to connect:
{
"mcpServers": {
"io-github-caseyyahbara-finsec": {
"url": "https://finsec.caleralabs.com/mcp"
}
}
}Documentation
View on GitHubFrom the project's GitHub README.
FINSEC — Certified SEC Memory MCP Server
Official Model Context Protocol (MCP) connector for Calera Labs FINSEC. Connects AI agents (Claude Desktop, Cursor, Zed, VS Code, and custom autonomous swarms) directly to 4.06M certified SEC EDGAR facts powered by the Calera Episteme-1 Engine.
"Frontier Models Reason — The Calera Lattice Supplies Ground Truth."
⚡ Key Guarantees
- 0.00% Statistical Hallucination: Fact recall is deterministic and geometric ($A_4$ Pentatope lattice memory). No language model exists in the fact retrieval path.
- Cryptographic Provenance: Every returned financial metric includes exact SEC filing accessions, dates, concepts, and SHA-256 audit hashes.
- Honest Refusal (
SAFE_REFUSAL): If a metric is not present in official SEC filings or is ambiguous, the engine returns an honest safe refusal rather than confabulating numbers. - Ultra-Low Latency & High Gross Margins: Sub-25ms response serialization with low token footprint mode.
🚀 1-Click Quickstart Integrations
1. Cursor IDE
Add the following to your project's .cursor/mcp.json (or global Cursor Settings → Features → MCP):
{
"mcpServers": {
"finsec": {
"url": "https://finsec.caleralabs.com/mcp",
"headers": {
"X-License-Key": "clabs_live_YOUR_KEY"
}
}
}
}
(Get your free API key at dashboard.caleralabs.com)
2. Claude Desktop
Add to your claude_desktop_config.json:
- macOS:
~/Library/Application Support/Claude/claude_desktop_config.json - Windows:
%APPDATA%\Claude\claude_desktop_config.json - Linux:
~/.config/Claude/claude_desktop_config.json
{
"mcpServers": {
"finsec": {
"url": "https://finsec.caleralabs.com/mcp",
"headers": {
"X-License-Key": "clabs_live_YOUR_KEY"
}
}
}
}
3. Smithery CLI (1-Click Terminal Command)
Install automatically across Claude or Cursor using Smithery (smithery.ai/servers/calera-labs/finsec):
# For Claude Desktop
npx -y @smithery/cli install financesec-mcp --client claude
# For Cursor
npx -y @smithery/cli install financesec-mcp --client cursor
4. Zed Editor
Add to ~/.config/zed/settings.json:
{
"experimental.context_servers": {
"finsec": {
"command": {
"url": "https://finsec.caleralabs.com/mcp",
"headers": {
"X-License-Key": "clabs_live_YOUR_KEY"
}
}
}
}
}
🛠️ Certified Tools Surface Area
The FINSEC MCP server exposes 7 certified tools:
| Tool Name | Description |
|---|---|
query_financial_sec | Natural-language query over 4.06M certified SEC EDGAR facts with provenance or honest SAFE_REFUSAL. |
valuation_inputs | 12 Certified Valuation Packs (DCF inputs, FCF, Altman Z', Beneish M, DuPont 5-step, Piotroski F). |
query_sec_metric_exact | Exact single-cell EDGAR metric recall for company + period + concept. |
compute_sec_cagr | Exact compound annual growth rate (CAGR) calculation over verified SEC filing facts with zero confabulation. |
lattice_arith_evaluate | Deterministic zero-error algebraic solver (cagr, ratio, multiply, divide, yoy_series, product_chain). |
vln_capabilities_overview | Dynamic scope overview and capability boundaries. |
query_sec_sector_peers | Multi-company sector & industry financial comparisons. |
💡 Example Queries for Your Agent
Once connected, simply ask your agent in plain English:
- "What was Apple's FY2023 total revenue and gross margin in USD?"
- "Compare Microsoft and Alphabet Q3 2024 operating income."
- "Calculate Nvidia's 3-year revenue CAGR from FY2021 to FY2024."
- "Pull the DuPont 5-step analysis inputs for Tesla in 2023."
🏎️ Low-Token Mode for High-QPS Agent Swarms
To eliminate context exhaustion in multi-turn reasoning agents, pass "low_tokens": true in your queries for a 71.7% token reduction:
{
"id": "q112",
"st": "OK",
"val": 383285000000,
"cur": "USD",
"concept": "us-gaap:RevenueFromContractWithCustomerExcludingAssessedTax",
"per": "FY2023",
"hash": "5ce23625"
}
🔑 Authentication & API Keys
Generate your free or enterprise API key on the Universal Dashboard:
👉 https://dashboard.caleralabs.com
🛡️ Security & Provenance Policy
- No Language Model in the Fact Path: All returned numbers originate from XBRL/EDGAR filing tables verified against SEC accessions.
- IP Cloud Boundary: Substrate algorithms and $A_4$ Pentatope lattice weights operate inside Calera Labs secure cloud runtimes. Public clients receive only verified outputs and schema responses.
📄 License & Attribution
- Connector specification and client schemas are licensed under the Apache-2.0 License.
- Powered by Calera Episteme-1 / Calera Labs (DBA of Pyrotope Inc., Subsidiary of Calera Computing, Inc.).
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