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tai/research/mcp-client-support/smithery-docs-intro.md
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retoor 251c3dc2ba research: mcp-client-support subject (106 sources, 3 conclusions)
- wire spec: lifecycle, stdio + Streamable HTTP transports, tools,
  utilities, legacy SSE, versioning, changelog (14 Tier 1)
- client ecosystem: Claude Code/VS Code/Cursor/Codex configs,
  mcp-remote, Smithery, registries, Glama (12 Tier 1)
- security/ops: authorization draft, trust model, poisoning,
  rug pulls, production hardening (12 Tier 1) + 68 Tier 2 cards
- conclusions: minimal stdlib client on 2025-11-25, normalizer +
  resolver agent for pasted configs/GitHub URLs, untrusted-until-
  consent trust model; nothing built yet
- audit PASS (14 subjects, 797 sources, 32 conclusions)
2026-10-18 19:23:02 +02:00

2.7 KiB

Smithery docs: Introduction

Metadata

Field Value
Institute Molodetz Institute - Research and Retrieval Division
Subject mcp-client-support
Document type Source Dossier
Tier 1
Source title Smithery docs (Introduction)
Source URL https://smithery.ai/docs
Source publisher / author Smithery
Source type vendor docs
Source date (published) Unknown, not stated
Date researched 2026-10-18
Researched by tai (agent), model: Claude Sonnet 5, on behalf of retoor
Research method gather-subagent direct page fetch, parent synthesis from evidence pack
Confidence High
Status Active

Summary

Smithery's introductory documentation, presenting it as a managed catalog plus connection layer for MCP servers: zero OAuth configuration, automatic token refresh, encrypted write-only credential storage, and per-server typed SDKs served from pkg.smithery.ai paths shaped like namespace/slug. Auth layer is powered by open-source agent.pw.

Key findings

  • Smithery is a managed catalog + connection layer: "Zero OAuth configuration", "Automatic token refresh", "Secure credential storage... encrypted and write-only", "Stateless for you".
  • Per-server typed SDKs served from pkg.smithery.ai paths "shaped like namespace/slug", class name = PascalCase slug ("smithery-ai/github exports Github"). Auth layer powered by open-source agent.pw.
  • API key from smithery.ai/account/api-keys, used as Authorization: Bearer $SMITHERY_API_KEY against https://smithery.run/<namespace>/<id>.

Pros / strengths

  • States the hosted-connection model plainly: OAuth and token refresh are Smithery's problem, not the client's, which fixes the resolution target for Smithery references.
  • The namespace/slug addressing plus PascalCase class convention is stated exactly enough to construct SDK imports mechanically.
  • First-party statement of the credential model (encrypted, write-only) grounds trust claims.

Cons / limitations / caveats

  • No publish date; hosted-endpoint details could drift without notice.
  • Smithery's legacy server.smithery.ai/.../mcp?api_key= URL shape is not present on the two Smithery pages read (which show the smithery.run + mcpUrl model); treat old-pattern knowledge as stale until re-verified.
  • Vendor doc for a paid/hosted layer: catalog coverage and pricing claims need independent checks before tai depends on them.

Relevance to tai

A pasted Smithery reference resolves to a hosted URL + key model (namespace/slug to connection), not a local command: a different resolution path than GitHub/npm. The intro page fixes the addressing scheme tai must parse.

Changelog

Date Change
2026-10-18 Initial dossier created.