Remote MCP server that lets an assistant look up consensus 'best X for Y' product rankings drawn from several AI models, with verdicts and poll history.
What you can do
Search for the best product, tool or service for a stated need, or check how a specific brand ranks, with dated verdicts and source links. Retrieve the full ranked leaderboard and verdict for a category. Look up a single brand's record across every category it appears in, with its homepage. Review the raw poll history behind a category's verdict, optionally filtered by model. List all ranked categories by slug and title.
When to use it
Useful when someone asks a 'best X for Y' question and you want a multi-model consensus ranking rather than a single source, or when you need to compare brands in a category or audit how a verdict was reached.
Requirements
A remote MCP endpoint; no package, account, API key or environment variable is declared. Network access to the provider's endpoint is needed.
Before you install
Rankings are opinions aggregated from AI models, not verified product testing, and the server states it excludes medical, financial and legal advice. Verdicts and source links come from a third party, so check them before relying on them for a purchase decision. The category list is described as large.
Enable the server for the chats that should use its tools.
Web executable via Streamable HTTP. Remote servers run from the web runtime once configured in a workspace.
Use with an agent
Paste this prompt into Claude Code, Codex, Cursor or another agent — or into SourceWeft chat. The agent reads this server's install guide, shows you its publisher, endpoint and sign-in, and adds it to your client once you agree. Keys never go into a command.
Read https://sourceweft.com/mcp/com.modelsagree%2Fmodelsagree/install.md and connect the MCP server it describes to my client. Before changing any config, show me its publisher, endpoint and sign-in method and wait for my OK. Never put an API key in a command or in a file I would commit; ask me where it should come from.
Find what AI models agree is the best product/tool/service for a need, or look up how a specific brand ranks. Returns matching categories and brands with a dated one-sentence verdict and source URLs. Use for any 'best X for Y' question. Excludes medical, financial, and legal advice.
Parametersqueryrequired
get_best_in_category
Get a category's full ranking
Get the full ranked leaderboard and verdict for a category slug (obtained from search_best or list_categories), e.g. 'best-llm-observability'.
Parametersslugrequired
get_product
Get a brand's record
Get a single brand/product's record across every category it is ranked in, with verdicts and its homepage.
Parametersslugrequired
get_poll_history
Get a category's poll audit trail
Get the raw poll history — every model's pick over time — behind a category's verdict. The credibility/audit trail. Optionally filter by model.
Parametersslugrequiredlimitmodel
list_categories
List all categories
List every category ModelsAgree ranks (slug + title). Large; prefer search_best when you have a specific need.
Takes no parameters.
Version history
1
v1.0.0LatestSep 16, 2026
Score
83%
83% of the applicable checks met
How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.
Reached in the last 30 daysRequired25 pts
Auth declaredRequired10 pts
Tools listedRequired15 pts
DescriptionRequired15 pts
Logo10 pts
Documentation15 pts
Declare a GitHub repository with a README, or serve resource_documentation in the OAuth protected-resource metadata.
LicenseNot applicable
A hosted service is used under its provider's terms, so no license is expected here. This check is left out of the percentage.