Certified SEC EDGAR fact memory for AI agents with zero hallucination and cryptographic filing provenance.
- ✓Open-source license (Apache-2.0)
- ✓Actively maintained (<30d)
- ✓Clear description
- ✓Documented (README)
claude mcp add finsec-mcp -- npx -y @smithery/cli{
"mcpServers": {
"finsec-mcp": {
"command": "npx",
"args": ["-y", "@smithery/cli"]
}
}
}Resumen de MCP Servers
# FINSEC — Certified SEC Memory MCP Server
[](https://registry.modelcontextprotocol.io)
[](https://smithery.ai/servers/calera-labs/finsec)
[](https://glama.ai/mcp/servers/Calera-Labs/finsec-mcp)
[](LICENSE)
[](https://finsec.caleralabs.com)
[-purple.svg)](https://finsec.caleralabs.com)
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):
```json
{
"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](https://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`
```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](https://smithery.ai/servers/calera-labs/finsec)):
```bash
# 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`:
```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**:
```json
{
"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](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](LICENSE).
* Powered by **Calera Episteme-1** / **Calera Labs** (DBA of Pyrotope Inc., Subsidiary of Calera Computing, Inc.).
Lo que la gente pregunta sobre finsec-mcp
¿Qué es Calera-Labs/finsec-mcp?
+
Calera-Labs/finsec-mcp es mcp servers para el ecosistema de Claude AI. Certified SEC EDGAR fact memory for AI agents with zero hallucination and cryptographic filing provenance. Tiene 0 estrellas en GitHub y su última actualización registrada es del 2026-08-18.
¿Cómo se instala finsec-mcp?
+
Puedes instalar finsec-mcp clonando el repositorio (https://github.com/Calera-Labs/finsec-mcp) o siguiendo las instrucciones del README en GitHub. ClaudeWave también te ofrece bloques de instalación rápida en esta misma página.
¿Es seguro usar Calera-Labs/finsec-mcp?
+
Nuestro agente de seguridad ha analizado Calera-Labs/finsec-mcp y le ha asignado un Trust Score de 87/100 (tier: Trusted). Revisa el desglose completo de comprobaciones superadas y flags en esta página.
¿Quién mantiene Calera-Labs/finsec-mcp?
+
Calera-Labs/finsec-mcp es mantenido por Calera-Labs. La última actividad registrada en GitHub es del 2026-08-18, con 0 issues abiertos.
¿Hay alternativas a finsec-mcp?
+
Sí. En ClaudeWave puedes explorar mcp servers similares en /categories/mcp, ordenados por popularidad o actividad reciente.
Despliega finsec-mcp en tu cloud
Lleva este repo a producción en minutos. Cada plataforma genera su propio entorno con variables de entorno editables.
¿Mantienes este repo? Añade un badge a tu README
Pega el badge en tu README de GitHub para mostrar que está auditado por ClaudeWave. Cada badge enlaza de vuelta a esta página y muestra el Trust Score actual.
[](https://claudewave.com/repo/calera-labs-finsec-mcp)<a href="https://claudewave.com/repo/calera-labs-finsec-mcp"><img src="https://claudewave.com/api/badge/calera-labs-finsec-mcp" alt="Featured on ClaudeWave: Calera-Labs/finsec-mcp" width="320" height="64" /></a>Más MCP Servers
Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
An open-source AI agent that brings the power of Gemini directly into your terminal.
Real-time global intelligence dashboard. AI-powered news aggregation, geopolitical monitoring, and infrastructure tracking in a unified situational awareness interface
The fastest path to AI-powered full stack observability, even for lean teams.
🕷️ An adaptive Web Scraping framework that handles everything from a single request to a full-scale crawl!