Score breakdown
Popularity is tracked separately. Support, ads, sponsorships, and tips never affect these signals.
Why it matters
Remote MCP discovery is fragmented; a dated, actively curated list with real contributor breadth is the practical index. Useful for developers seeking hosted MCP servers, agent builders comparing MCP endpoints.
Where this stands now
awesome-remote-mcp-servers — Collection of remote MCP servers created 2026-09-08 with 30 contributors already curating entries; entry point ranks #10 of 12 tracked MCP Servers items by composite score (7.4 against a section median of 7.8). The section currently carries 5 Silver, 4 Gold, 3 Bronze. RepoRadar has retained observations for this record since 2026-09-09 (33 days in the current window). Signal extremes versus the section: momentum at the 79th percentile; novelty at the 71th percentile.
Who should use it
Who should skip it
Hold off on awesome-remote-mcp-servers — Collection of remote MCP servers created 2026-09-08 with 30 contributors already curating entries; entry point until it graduates from watchlist status with stronger evidence.
About this signal
awesome-remote-mcp-servers — Collection of remote MCP servers created 2026-09-08 with 30 contributors already curating entries; entry point is tracked by RepoRadar as an AI project in the MCP Servers section. First seen 2026-09-09; the source record was last checked on 2026-09-09. The current verdict is 'watch' with a Bronze tier and review needed setup difficulty. awesome-remote-mcp-servers — Collection of remote MCP servers created 2026-09-08 with 30 contributors already curating entries; entry point leads on open-source/build quality (8.4) and momentum (8.1); its lowest signal is setup ease (6.5), so factor that in before investing setup time. This page summarizes the public evidence on the linked source page and states where additional review is still needed.
How this item is evaluated
The awesome-remote-mcp-servers — Collection of remote MCP servers created 2026-09-08 with 30 contributors already curating entries; entry point record combines a 7.4/10 composite score with separate popularity (85.0), risk (none), and setup (review needed) signals. See the scoring methodology for the current weights and evidence definitions.
Questions worth asking before you adopt this
Putting this into practice? Read How to vet an AI agent or MCP server before you wire it in for the checklist behind this score.
Risk explanation
No inherent user-impacting risk is flagged from the captured evidence.