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Side-by-side MCP evidence comparison
Evidence fieldNotion MCPMCP100 RecommendedHugging Face MCPMCP100 Recommended
Task fit
Best for
  • Reading and updating explicitly shared Notion pages
  • Markdown-oriented page workflows
  • Teams able to create a dedicated least-privilege integration
  • Searching models, datasets, Spaces, papers, and Hugging Face documentation
  • Exploring Hub metadata from an MCP-compatible assistant
  • Running explicitly selected Hugging Face tools in controlled research workflows
Not ideal for
  • Whole-workspace access without page scoping
  • Stable local-server APIs with no migration monitoring
  • Workflows that only need occasional manual Notion lookup
  • Highly regulated data or confidential prompts sent to unreviewed community Spaces
  • Unattended Jobs, sandbox execution, or repository writes
Avoid when
  • Sensitive workspace content cannot be exposed to the connected model/client
  • You cannot create a dedicated read-only integration or restrict page access
  • You depend on removed pre-2.0 database tool names
  • Dynamic community Space discovery is enabled without tool-by-tool review
  • The Hugging Face token grants more repository or compute access than needed
  • Model, dataset, or Space content can directly trigger privileged tools
Provenance
Provenance details

First-party MCP

Notion · Publisher source ↗

First-party MCP

Hugging Face · Publisher source ↗

Maintenance
Maintenance details

Repo: Not documented

Package: Not documented

Repo: Sep 23, 2026

Package: Not documented

Popularity evidence
GitHub starsNot documented

296

GitHub stars · checked 2026-09-24T04:14:16.295000Z

Client coverage
Client coverage details
Claude Code✓ Streamable HTTP
Claude Desktop✓ Streamable HTTP
Codex✓ Streamable HTTP
VS Code✓ Streamable HTTP
Cursor✓ Streamable HTTP
OpenCode✓ Streamable HTTP
Claude Code✓ Streamable HTTP
Claude Desktop✓ Streamable HTTP
Codex✓ Streamable HTTP
VS Code✓ Streamable HTTP
Cursor✓ Streamable HTTP
OpenCode✓ Streamable HTTP
Client coverage noteLocal stdio runs on your computer. Streamable HTTP connects to a remotely hosted MCP server.
Access and data
AuthenticationThe supported hosted service uses OAuth. The documented local server uses NOTION_TOKEN or OPENAPI_MCP_HEADERS; HTTP transport has a separate bearer token and supports carefully configured per-request Notion token passthrough.The hosted server supports the current documented Hugging Face OAuth or bearer-token paths. Tool advertisement or discovery configuration is not a server-side authorization boundary for a caller that already knows a tool name; actual authority remains bounded by the authenticated Hugging Face account and token permissions.
CostThe local server is MIT licensed. A Notion account and workspace plan are required, and Notion plan/API limits apply; hosted MCP-specific charges were not established in the reviewed materials.Hub search and the open-source server have no separately documented MCP fee. Hugging Face Jobs, sandboxes, inference, storage, hardware-backed Spaces, and the AI client can incur normal account charges.
PermissionsLocal access is limited by the Notion integration capabilities and pages connected to that integration. Read-only capability is available; write-capable tools can create or update workspace content. Local HTTP transport requires bearer authentication unless an explicitly unsafe flag disables it.Base tools search and navigate Hugging Face Hub resources and documentation. Optional tools can create and write repositories, manage sandbox files, run or schedule Jobs, and invoke selected or dynamically discovered community Spaces, bounded by the authenticated Hugging Face token and configured tool set.
Data handlingPage/database content accessible to the integration can be returned to the MCP client and model. The local server calls Notion APIs; hosted Notion MCP additionally processes requests through Notion's remote service.Queries and results pass through Hugging Face's hosted MCP service. Community Space calls send their arguments to the selected Space and return its outputs to the client. Jobs and sandboxes can process files and compute inputs on Hugging Face infrastructure.
Limitations
Tradeoffs
  • Hosted OAuth is actively supported and easier; the local repository warns it may be sunset.
  • Write capability enables useful edits but raises deletion, overwrite, and prompt-injection risk.
  • Version 2 changed database operations to data-source tools, requiring updates to hardcoded prompts.
  • The hosted endpoint makes Hub discovery easy, while optional community Gradio tools have independent publishers, behavior, and data handling.
  • Built-in Jobs, sandboxes, and repository contribution tools add useful compute and write capabilities but materially increase cost and impact.
  • Tool selection is configurable in Hugging Face MCP settings and should remain minimal.
Risk contextWorkspace content may be read or modified within the integration's reach. Use a dedicated integration, Read content only where possible, explicitly connect only needed pages, avoid unsafe HTTP auth disabling, and monitor hosted/local migration guidance.Begin with search-only tools and a least-privilege token. Disable dynamic Spaces, repository writes, Jobs, and sandboxes unless separately approved; review every community Space as third-party code and never send secrets or regulated data. This documentary review does not claim MCP100 execution testing.
Evidence date
Editorial review2026-07-242026-07-24
Candidate evidence2026-09-24T04:25:05.554391Z2026-09-24T04:25:05.554391Z

Popularity, maintenance, fit, permissions, and client support are independent evidence fields.

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