Score breakdown
Popularity is tracked separately. Support, ads, sponsorships, and tips never affect these signals.
Why it matters
Useful for teams that want to add policy and safety controls around MCP-connected agents without rewriting the upstream MCP server or the agent runtime itself.
Where this stands now
abluva-research/mcp-trust-plane ranks #117 of 2770 tracked Radar items by composite score (8.5 against a section median of 4.9). The section currently carries 1659 Bronze, 645 Gold, 466 Silver. RepoRadar has retained observations for this record since 2026-06-19 (106 days in the current window). Signal extremes versus the section: momentum at the 72th percentile; novelty at the 83th percentile.
Who should use it
Who should skip it
Skip abluva-research/mcp-trust-plane if the source repository or demo is inactive, unmaintained, or no longer matches the description shown here.
About this signal
abluva-research/mcp-trust-plane is tracked by RepoRadar as a developer tool in the Radar section. First seen 2026-06-19; the source record was last checked on 2026-06-19. The current verdict is 'watch' with a Gold tier and advanced setup difficulty. The standout signals for abluva-research/mcp-trust-plane are workflow potential (9.3) and open-source/build quality (8.4), while setup ease (4.2) trails — that balance shapes where it fits best. 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 abluva-research/mcp-trust-plane record combines a 8.5/10 composite score with separate popularity (62.0), risk (conditional), and setup (advanced) 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
This project sits directly in the path of MCP tool calls and responses, so a bad policy or filter could expose, block, or alter sensitive agent actions in ways you need to test carefully before production use.