Connect
Optimize
Secure
Live 7 Actions
SEC EDGAR MCP Server
for AI Agents
StackOne's SEC EDGAR MCP server gives AI agents ready-to-use actions for SEC EDGAR — with built-in authentication, security, governance, token efficiency, and high tool-calling accuracy.
SEC EDGAR MCP Server
Built by 
StackOne
StackOne 
Coverage
7 Agent Actions
Create, read, update, and delete across SEC EDGAR — and extend your agent's capabilities with custom actions.
Authentication
Agent Tool Authentication
Per-user OAuth in one call. Your SEC EDGAR MCP server gets session-scoped tokens with zero credentials stored on your infra.
Agent Auth →
Security
Agent Protection
Every SEC EDGAR tool response scanned for prompt injection in milliseconds — 88.7% accuracy, all running on CPU.
Prompt Injection Defense →
Performance
Max Agent Context. Min Cost.
Free up to 96% of your agent's context window to enhance reasoning and reduce cost, on every SEC EDGAR call.
Tools Discovery →What is the SEC EDGAR MCP Server?
A SEC EDGAR MCP server lets AI agents read and write SEC EDGAR data through the Model Context Protocol — Anthropic's open standard for connecting LLMs to external tools. StackOne's SEC EDGAR MCP server ships with pre-built actions, fully extensible via the Connector Builder — plus managed authentication, prompt injection defense, and optimized agent context. Connect it from MCP clients like Claude Desktop, Claude Code, Cursor, Goose, and VS Code, or from agent frameworks like OpenAI Agents SDK, LangChain, and Vercel AI SDK.
All SEC EDGAR MCP Tools and Actions
Every action from SEC EDGAR's API, ready for your agent. Create, read, update, and delete — scoped to exactly what you need.
Look Up Company By Ticker Or Names
- Look Up Company By Ticker Or Name
Look up a company's CIK by ticker symbol or company-name substring from the SEC's full ticker registry
Company Submissions
- Get Company Submissions
Retrieve company metadata and the 50 most recent filings for a specific company by CIK, with optional pagination for older filings
Filings
- Search Filings
Full-text search across SEC EDGAR filings, ordered by relevance score (not chronological)
Filing Documents
- Get Filing Document
Retrieve a specific filing document from EDGAR archives
Company Facts
- Get Company Facts
Get XBRL financial facts for a company, optionally scoped to one taxonomy or concept
Company Concepts
- Get Company Concept
Get a specific XBRL financial concept for a company
XBRL Frames
- Get XBRL Frames
Get a specific financial concept across all reporting companies for a given period
Set Up Your SEC EDGAR MCP Server in Minutes
One endpoint. Any framework. Your agent is talking to SEC EDGAR in under 10 lines of code.
MCP Clients
Agent Frameworks
JSON{
"mcpServers": {
"stackone": {
"command": "npx",
"args": [
"-y",
"mcp-remote@latest",
"https://api.stackone.com/mcp?x-account-id=<account_id>",
"--header",
"Authorization: Basic <YOUR_BASE64_TOKEN>"
]
}
}
}SEC EDGAR MCP Server Resources
MCP Code Mode: Keeping Tool Responses Out of Agent Context
Anthropic's code_execution processes data already in context. Custom MCP code mode keeps raw tool responses in a sandbox. 14K tokens vs 500.
11 min
Comparing BM25, TF-IDF, and Hybrid Search for MCP Tool Discovery
Benchmarking BM25, TF-IDF, and hybrid search for MCP tool discovery across 916 tools. The 80/20 TF-IDF/BM25 hybrid hits 21% Top-1 accuracy in under 1ms.
10 min
Indirect Prompt Injection Defense for MCP Tools: A Technical Guide
MCP tools that read emails, CRM records, and tickets are indirect prompt injection vectors. Here's how we built a two-tier defense that scans tool results in ~11ms.
12 min
SEC EDGAR MCP Server FAQ
SEC EDGAR MCP server vs direct API integration — what's the difference?
A SEC EDGAR MCP server and direct API integration serve different use cases. Direct API integration is for software-to-software — backend code calling SEC EDGAR. A SEC EDGAR MCP server is for AI agents — MCP clients like Claude and Cursor, plus framework agents built with OpenAI, LangChain, or Vercel AI — discovering and calling SEC EDGAR at runtime. StackOne provides both.
How does SEC EDGAR authentication work for AI agents?
SEC EDGAR authentication for AI agents works through a StackOne Connect Session. Create one via the dashboard or the SDK — you get an auth link and ready-to-paste config for Claude Desktop, Cursor, and other MCP clients. Your user authenticates their own SEC EDGAR account; StackOne handles token exchange, storage, and refresh. Credentials never reach the LLM, and each user is isolated via
origin_owner_id.Are SEC EDGAR MCP tools vulnerable to prompt injection?
Yes — SEC EDGAR MCP tools can be vulnerable to indirect prompt injection. Any tool that reads user-written content — documents, messages, tickets, records, or free-text fields — is a potential vector. StackOne Defender scans every tool response before it enters the agent's context — regex patterns in ~1ms, then a MiniLM classifier in ~4ms. 88.7% accuracy, CPU-only.
What is the context bloat of a SEC EDGAR agent and how do I avoid it?
Context bloat happens when SEC EDGAR tool schemas and API responses eat your SEC EDGAR agent's memory, preventing it from reasoning effectively. A single SEC EDGAR query can return a massive JSON response, and connecting multiple tools compounds the problem. Tools Discovery and Code Mode reduce context bloat — loading only relevant tools per query and keeping raw responses out of the agent's context.
Can I limit which actions my SEC EDGAR agent can access?
Yes — you can limit which actions your SEC EDGAR agent can access directly from the StackOne dashboard. Toggle actions on or off, or restrict them to specific accounts, with no code changes to your agent. Session tokens can be scoped to exact actions so if one leaks, exposure stays contained.
Can I create custom agent actions for my SEC EDGAR MCP server?
Yes — you can create custom agent actions for your SEC EDGAR MCP server using Connector Builder. It's an integration agent your coding assistant (Claude Code, Cursor, or Copilot) can invoke to research SEC EDGAR's API, generate production-ready connector YAML, test against the live API, and validate before you ship.
When should I NOT use a SEC EDGAR MCP server?
Skip a SEC EDGAR MCP server if your integration is purely software-to-software — direct SEC EDGAR API integration is simpler when no AI agent is involved. For deterministic, compliance-critical operations (financial transactions, regulatory reporting), direct API gives you predictable behavior without agent-driven decision-making. MCP shines when AI agents need to dynamically discover and call SEC EDGAR actions at runtime.
What AI frameworks and AI clients does the StackOne SEC EDGAR MCP server support?
The StackOne SEC EDGAR MCP server supports both. MCP clients (paste-and-go apps): Claude Desktop, Claude Code, Cursor, VS Code, Goose. Agent frameworks (code SDKs you build with): OpenAI Agents SDK, Anthropic, Vercel AI, Google ADK, CrewAI, Pydantic AI, LangChain, LangGraph, Azure AI Foundry.
Put your AI agents to work
All the tools you need to build and scale AI agent integrations, with best-in-class connectivity, execution, and security.