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Compare MCP servers

Compare scores, permissions, risks, and fit in one decision-focused table.

DimensionGraphARCThe admission gate for agent graphs, built on LangGraphContext7Upstash's official server providing up-to-date third-party library docs for AI coding assistantsNPM Sentinel MCP ServerAI-powered NPM package analysis MCP server
FMRS61 / 100 · C80 / 100 · B79 / 100 · B
Reliability10 / 2014 / 2012 / 20
Security and permissions10 / 2016 / 2016 / 20
Maintenance14 / 2017 / 2018 / 20
Documentation15 / 2015 / 2018 / 20
Setup experience12 / 2018 / 2015 / 20
Best for
  • Teams that need agent workflows under deterministic admission and policy constraints
  • Scenarios requiring worst-case pricing before execution and per-node cost attribution after
  • Compliance or investigation workflows needing one replayable audit trace where the dashboard and the audit trail are the same file
  • Organizations that want a human to press a button before execution starts, for example from Slack
  • Developers who want deterministic, reproducible demos and tests on any checkout via `--scripted`
  • 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
  • Those who only need an interactive single-agent loop without pre-execution authorization
  • Anyone looking for a general personal AI assistant gateway or a tool configured by allowlists
  • Users expecting node arguments to be fully validated: admission authorises a node's kind, arguments are checked only where the kind declares an args_schema, and a schema bounds their shape, not what a factory lets them reach
  • Scenarios requiring the HTTP API to use a durable session layer, or the tool plane to be governed by policy documents instead of CLI flags
  • Users who need agent nodes on the Claude CLI backend to be fully governed: by default they run under an allowlist mapped from the node's own tools, but enforcement there is Claude Code's, and the explicit bypass tier has no checks at all
  • 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
  • The default backend drives the claude CLI on your PATH (a Claude subscription, no API key)
  • Node bodies come from the registry, never from a proposal; the registry is the source of the kinds a planner may propose
  • Policy decides what the planner is able to propose: a denied edge changes the shape of the graph rather than producing a refusal to retry
  • The MCP gate binds the MCP surface, not the host: an agent with its own file tools in the run directory could forge the approval decision, and the trust boundary is the working directory
  • run_command children are unconfined
  • ContainerExecutor is the real boundary; the in-process sandbox is defense in depth
  • 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
  • Admission authorises a node's kind; arguments are validated only where the kind declares an args_schema, and a schema bounds their shape rather than what a factory lets them reach
  • The in-process sandbox is defense in depth, run_command children are unconfined, and ContainerExecutor is the real boundary when explicitly used
  • The HTTP API does not yet use the durable session layer
  • On the Claude CLI backend an agent node is delegated, not governed: by default it runs under an allowlist mapped from the node's own tools, but enforcement is Claude Code's, and the bypass tier has no checks at all
  • Policy documents govern planning while the tool plane still reads CLI flags
  • The MCP gate binds the MCP surface, not the host: an agent with its own file tools in the run directory could forge the approval decision; the trust boundary is the working directory, as it is for the Slack workspace
  • 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
Supported clientsClaude Code, VS Code, Cursor, Cline, AmpClaude Desktop, VS Code, Cursor, Smithery.ai
Tools0219