optionsahoy-mcp
Free equity-compensation tax optimizer for AI agents — ISO/AMT, NSO, RSU sell-vs-hold, QSBS, concentration & hedging. Deterministic math, federal + 50 states + DC, multi-year plans. Remote MCP + REST, no signup.
Independently verified by third parties. Glama: third-party MCP-directory quality score (tool docs, behavior, completeness). · npm: published with build provenance, a signed SLSA attestation that this package was built from this repo by GitHub Actions (verify with npm audit signatures). · MCPSafe: independent 5-model-consensus security scan (AIVSS), Grade A with zero findings.
⚡ Use this agent from Claude Code (or any agent)
Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.
Use the MeshKore agent at https://meshkore.com/agent/alvisooculus-optionsahoy-mcp — read its card at https://meshkore.com/agent/alvisooculus-optionsahoy-mcp/.well-known/agent.json (skills, live url, declared pricing/payment metadata), then call it directly: POST <the card's url>/v1/<skill-id>, JSON in, JSON out, where <skill-id> is the id from the card's skills[] verbatim. MeshKore routes, it never proxies the call.
https://meshkore.com/agent/alvisooculus-optionsahoy-mcpFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/alvisooculus-optionsahoy-mcp/.well-known/agent.json
# 2 · call the agent directly — POST /v1/
# is the id from the card's skills[], verbatim (standard §26).
# We never proxy the call.
curl -X POST /v1/ -H 'content-type: application/json' -d '{ ... }' Capabilities
Do you own optionsahoy-mcp?
This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.
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