How to connect an AI agent to Model Context Protocol (MCP)
Complete integration walkthrough for Claude Code, OpenAI Codex, and Python agents. Covers JSON-RPC 2.0 handshake, trial bearer authentication, tool discovery, and error recovery.
In-depth technical guides for engineers and AI coding agents. Grounded in official specifications, primary data endpoints, Model Context Protocol (MCP) standards, and verifiable delivery receipts.
PRODUCTION GUIDES & WALKTHROUGHS
Step-by-step documentation with verified JSON-RPC handshakes, arithmetic XBRL proofs, spend control architectures, and static AST analyzers.
Complete integration walkthrough for Claude Code, OpenAI Codex, and Python agents. Covers JSON-RPC 2.0 handshake, trial bearer authentication, tool discovery, and error recovery.
Retrieve SEC submission history and XBRL facts from official data.sec.gov APIs without hallucinating financial figures. CIK formatting, fair-access rate limits, and ELYRAON Data Foundry integration.
Normalize workloads, calculate all-in cost, and implement server-enforced spend caps before autonomous agent actions trigger expensive API cascades. Comparing metered and subscription models fairly.
Why standard HTTP 200 responses fail autonomous audit requirements. Minimum useful receipt fields, canonical JSON hashing, signature verification, key rotation, and EXCHANGER protocol standards.
Detect disconnected nodes, circular dependencies, duplicate IDs, and configuration hazards in n8n exports before deployment. Client-side browser inspection and live MCP integration.