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Side-by-side MCP evidence comparison
Evidence fieldAnytype MCPShortlist candidateHugging Face MCPMCP100 Recommended
Task fit
Best for
  • Manage a local-first Anytype knowledge base through AI assistants
  • Manage a local-first Anytype knowledge base through AI assistants.
  • 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
  • The MCP can create, edit and delete knowledge-base objects. API keys are sensitive; use etags/If-Match for concurrency-sensitive writes and keep the local API endpoint and bearer key private.
  • Highly regulated data or confidential prompts sent to unreviewed community Spaces
  • Unattended Jobs, sandbox execution, or repository writes
Avoid when
  • The MCP can create, edit and delete knowledge-base objects. API keys are sensitive; use etags/If-Match for concurrency-sensitive writes and keep the local API endpoint and bearer key private.
  • 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

Anytype · 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 stars

534

GitHub stars · checked 2026-10-20

296

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

Package downloads / 30 days

6,370

package downloads / 30 days · checked 2026-10-20

No reliable download data
Client coverage
Client coverage detailsNot documented
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
AuthenticationAnytype API key supplied as a Bearer authorization header to the local Anytype API.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.
CostNo separate MCP fee is documented for the open-source server/package.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.
PermissionsAuthority follows the Anytype API key. The current wrapper exposes `auth_whoami` to inspect credential permissions; API-key management/pairing operations are intentionally excluded.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 handlingBy default the MCP connects to the local Anytype API. File downloads are written to a private temporary directory. Debug logging explicitly omits authorization headers, arguments, payloads, and complete operation tables.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
  • Shortlist evidence is sufficient for identity, setup and task value; authenticated runtime tool-schema measurement and exhaustive security certification remain out of scope.
  • 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 contextThe MCP can create, edit, and delete knowledge-base objects and can download files. A leaked API key exposes the permissions granted to that key.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 review2026-10-192026-07-24
Candidate evidence2026-10-202026-09-24T04:25:05.554391Z

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

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