Field-by-field comparison

Compare the evidence before choosing an MCP.

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MCPs in this comparison

Qiskit IBM Runtime MCP ServerHugging Face MCP

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Comparable alternatives

Azure MCP ServerMCP100 RecommendedChrome DevTools MCPMCP100 RecommendedContext7 MCPMCP100 RecommendedGrafana Cloud MCPMCP100 RecommendedGoogle MCP Toolbox for DatabasesMCP100 RecommendedGoogle Search Console MCP Server for SEOsMCP100 Recommended

Shown only when capability or industry context overlaps.

Side-by-side MCP evidence comparison
Evidence field	Qiskit IBM Runtime MCP ServerShortlist candidate	Hugging Face MCPMCP100 Recommended
Task fit
Best for	Operate IBM Quantum Runtime jobs and inspect quantum hardware from MCP clients Operate IBM Quantum Runtime jobs and inspect quantum hardware from MCP clients.	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	Submitting Sampler/Estimator jobs can consume limited quantum resources or paid plan capacity. Job cancellation and deletion of saved account credentials are consequential actions and should require explicit human confirmation.	Highly regulated data or confidential prompts sent to unreviewed community Spaces Unattended Jobs, sandbox execution, or repository writes
Avoid when	Submitting Sampler/Estimator jobs can consume limited quantum resources or paid plan capacity. Job cancellation and deletion of saved account credentials are consequential actions and should require explicit human confirmation.	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	Ecosystem official Qiskit / IBM Quantum · 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	Not documented	296 GitHub stars · checked 2026-09-24T04:14:16.295000Z
Package downloads / 30 days	863 package downloads / 30 days · checked 2026-10-20	No reliable download data
Shared repository stars	41 Shared repository stars (not MCP-specific) · checked 2026-10-20	Not documented
Client coverage
Client coverage details	Not documented	Claude Code✓ Streamable HTTP Claude Desktop✓ Streamable HTTP Codex✓ Streamable HTTP VS Code✓ Streamable HTTP Cursor✓ Streamable HTTP OpenCode✓ Streamable HTTP
Client coverage note	Local stdio runs on your computer. Streamable HTTP connects to a remotely hosted MCP server.
Access and data
Authentication	IBM Quantum API token or previously saved Qiskit IBM Runtime credentials.	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.
Cost	Submitting Runtime jobs can consume IBM Quantum plan, quota, or paid capacity depending on the account.	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.
Permissions	Operations run under the authenticated IBM Quantum account/instance and its available backend/job permissions.	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 handling	Circuit/job requests and results are sent to and retrieved from IBM Quantum Runtime services.	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 context	The MCP can submit Estimator/Sampler jobs, consume scarce or paid quantum resources, cancel jobs, and delete locally saved account credentials.	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 review	2026-10-19	2026-07-24
Candidate evidence	2026-10-20	2026-09-24T04:25:05.554391Z

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

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