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mcpindex-ai/mcp-server-mcpindex (mcp-server-mcpindex)

mcp-server-mcpindex · v0.3.13 · scanned

What changed in the harness

Selection accuracy 100→100, token cost up 5%, unconfirmed writes 0%→0%.

Category breakdown

Where the score comes from.

Earned points across the four signals Gradable measures. Safety and Legibility are scored out of 30; Economics and Discoverability are scored out of 20.

01Safety

0.0 / 30

0.0 out of 30
02Legibility

28.6 / 30

28.6 out of 30
03Economics

20.0 / 20

20.0 out of 20
04Discoverability

10.4 / 20

10.4 out of 20

Highest-impact fix

Estimated gain +30 points

Add explicit identity and permission preflight tools

Expose machine-readable principal/tenant confirmation and a non-mutating permission check so agents can verify both before destructive actions.

Description evidence

Defects and rewrites.

3 defects found across the exposed tool descriptions. Suggested rewrites make purpose, inputs, boundaries, and returns easier for an agent to understand.

Tool Defect types Suggested rewrite
search_mcp_servers
no_return_description
Keyword and semantic search across every MCP server mcpindex indexes; use when the user knows the tool category they want but not which server. Returns a ranked list of up to `limit` matching servers, each with its slug, description, category, and quality score.
compare_servers
no_return_description
Produces a side-by-side comparison of the 2-5 given MCP servers. Returns, for each server slug, its quality score, install path, and required environment variables so they can be evaluated against each other.
assess_server
no_return_description
Runs an aggregated pre-flight trust assessment across all tools on an MCP server, for 'is THIS server worth integrating?' decisions. Returns the same advisory verdict object shape as check_tool_trust (directive, dimensions, freshness) computed in aggregate for the server; v1 is advisory only and may return UNVERIFIED if the server has not yet been probed.

Selection evidence

Confusable tool pairs.

4 pairs where similar names or overlapping descriptions may send an agent toward the wrong tool.

Tool A Tool B Confidence Why they collide
search_mcp_servers compare_servers low search finds candidate servers by keyword while compare requires already-known slugs for 2-5 servers; a task like 'which server is better for X' could tempt an agent to call compare without first searching, but the description gap (unknown vs known server) makes true confusion unlikely.
recommend_mcp_for_task search_mcp_servers medium Both take a task/query describing what the user wants to do and return MCP servers; a vague request like 'find me an MCP server for reading PDFs' could plausibly go to either recommend (task-based ranking) or search (keyword/semantic search), since the line between 'task' and 'query' is blurry.
compare_servers assess_server low compare_servers needs multiple known slugs for side-by-side comparison, assess_server evaluates trust for a single server; a task like 'is server X good' is unambiguous for assess_server alone, so confusion is unlikely unless the agent mistakenly tries compare with one slug.
search_mcp_servers assess_server low search discovers servers by category/keyword while assess evaluates trust of one already-identified server; distinct enough purposes (discovery vs trust verdict) that natural-language tasks rarely conflate them.

Compare the field

One score is useful.
The evidence makes it actionable.

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