Compare two AI tools side by side
Put any two skills or MCP servers next to each other: risk grade, what each can access, how popular it is, and how to install it.
| What | open-streetmap-mcp | openinference |
|---|---|---|
| Risk grade | CC · Moderate risk signals Based on public adoption and transparency signals as of Oct 19, 2026. Our opinion, not a code audit or security guarantee. | BB · Some risk signals Based on public adoption and transparency signals as of Oct 23, 2026. Our opinion, not a code audit or security guarantee. |
| Type | App connector | App connector |
| Est. context load | ~550 tokens / turn (~3 tool schemas, 0.27% of 200k context) | ~850 tokens / turn (~5 tool schemas, 0.43% of 200k context) |
| GitHub stars | 230 | 1.3k |
| Weekly npm downloads | — | 3.6k |
| Local files | No local folder access noted | No local folder access noted |
| Command execution | Runs shell or system commands | No shell command runner noted |
| Network reach | Connects to outside service API | Connects to outside service API |
| Credentials | No API token required | No API token required |
| Package source | GitHub (jagan-shanmugam/open-streetmap-mcp) | npm (@arizeai/openinference-instrumentation-mcp) |
| Install command | Source repo only | npx -y @arizeai/openinference-instrumentation-mcp |
| Bottom line | open-streetmap-mcp is distributed via GitHub (jagan-shanmugam/open-streetmap-mcp); review its source code, dependencies, and requested permissions before use. | This tool is useful for monitoring but requires careful setup to avoid sending sensitive AI conversations to external services and to prevent credential leaks in telemetry data. |
Based on public adoption and transparency signals as of Oct 28, 2026. Our opinion, not a code audit or security guarantee.
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