| FMRS | 56 / 100 · C | 80 / 100 · B | 79 / 100 · B |
| Reliability | 8 / 20 | 14 / 20 | 12 / 20 |
|---|
| Security and permissions | 9 / 20 | 16 / 20 | 16 / 20 |
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| Maintenance | 12 / 20 | 17 / 20 | 18 / 20 |
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| Documentation | 14 / 20 | 15 / 20 | 18 / 20 |
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| Setup experience | 13 / 20 | 18 / 20 | 15 / 20 |
| Best for | - Statisticians and data scientists working in RStudio or Positron who want an agent operating on their live session.
- Researchers who need to audit the numeric and citation consistency of their own or others' manuscripts.
- Developers and researchers who want to orchestrate multi-agent workflows on their existing model subscription.
- Users who prefer local sessions, auditable logs, and zero-config uvx startup.
| - Developers using fast-moving frameworks/libraries worried about the AI suggesting stale code
- Scenarios wanting zero-config documentation lookup
| - Developers auditing NPM dependencies within AI workflows
- Teams performing supply chain security assessments
- Users of Claude Desktop, Cursor, or VS Code
|
| Not for | - Anyone exposing the R session on an untrusted network or a shared machine: binding to 127.0.0.1 is not a security boundary.
- People who need sandboxed code execution: the guardrail is a regex blocklist, not a sandbox, and is trivially bypassable.
- Users unwilling to accept prompt-injection risk when auditing third-party documents.
- People who only want editor and audit tooling from a Python session: those tools drive the IDE through rstudioapi and have no Python equivalent.
| - Looking up internal/private codebase documentation (Context7 targets publicly published open-source libraries)
- Cases needing very high coverage of obscure, niche libraries (coverage depends on what Context7's platform has indexed)
| - Projects outside the NPM ecosystem (e.g., pure Python/Go)
- Environments without network access to deps.dev, OSV.dev, and the npm registry
- Scenarios requiring maintenance by an official upstream vendor
|
| Required permissions | - Execute arbitrary R code in the live R session (via execute_r and related tools).
- Read any file your account can read (read_file, get_viewer_content, and others).
- Write to and save files open in your editor (modify_code_section, insert_text).
- Install R packages, overwrite objects in your environment, make network calls, and consume compute.
- Listen on a local port (default 8787) and write session discovery files under ~/.claude_r_sessions/; when a token is enabled that file is written with mode 0600.
| - Usable without an API key (subject to a free-tier rate limit); CONTEXT7_API_KEY is an optional credential for higher quota
- Read-only documentation lookup — no code execution or local filesystem access involved
| - Network access to the NPM registry and external services (deps.dev, OSV.dev, OpenSSF, npms.io, GitHub)
- Read access to workspace lockfiles (pnpm-lock.yaml, package-lock., yarn.lock) for cache invalidation
|
| Risks and side effects | - Binding to 127.0.0.1 is not a security boundary: other local processes, and even any webpage you visit, can POST code to the port, which is arbitrary code execution in your session. ClaudeR always rejects requests carrying an Origin header with a 403, and offers an opt-in session token (X-Clauder-Token).
- The session token is off by default because enforcing it rejects any bridge older than clauder-mcp 0.6.0, so the local-process vector stays open until you enable it.
- validate_code_security() is a regex blocklist (system(), system2(), shell(), rstudioapi::terminal, recursive/wildcard deletes) and is trivially bypassable via get("system")(...), do.call, or eval(parse(...)). It is a seatbelt, not a sandbox.
- Prompt injection: combining tools that pull untrusted third-party content (read_file, get_viewer_content, verify_references, load_annotation_data) with arbitrary R execution, file writes, and network access means a manuscript, CSV, or HTML widget authored by someone else is untrusted input on a path to code execution. Auditing someone else's manuscript is the riskiest shape.
- The agent can read any file you can read, install packages, and make network calls; work in a project directory and keep credentials out of the working directory.
- Async jobs run in a separate R process via callr and do not have access to the main session's environment; the agent must write self-contained code using saveRDS, and misuse leads to inconsistent results.
| - The free tier has limited quota — high-frequency use may hit rate limits
- Documentation content comes from Context7's platform index, so its accuracy and freshness depend on that platform's crawl cadence
| - Third-party READMEs and changelogs are untrusted external content; they are wrapped in tags with _meta flags but should still be handled cautiously
- Depends on availability and accuracy of external services
- Batch requests are capped at 25 packages to prevent registry enumeration; larger sets require batching
- Third-party open source project, not officially maintained by NPM or Anthropic
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| Supported clients | Claude Desktop, Claude Code, Codex, Qwen Code, Google Antigravity (agy), Gemini CLI, Cursor | Claude Code, VS Code, Cursor, Cline, Amp | Claude Desktop, VS Code, Cursor, Smithery.ai |
| Tools | 37 | 2 | 19 |