ModelsAgree
Consensus 'best X for Y' rankings from ChatGPT, Claude, Gemini & Grok. Search, verdicts, history.
Should I use this
Quality & Safety
Based on automated analysis of tool definitions and protocol compliance.
Context Cost
This is the approximate number of tokens consumed each time the server's tools are loaded into a model's context. Higher counts reduce the attention available for other tasks.
Install
One-Click Install
Add this to your `claude_desktop_config.json` file:
{
"mcpServers": {
"modelsagree": {
"url": "https://modelsagree.com/mcp"
}
}
}Remote endpoints
https://modelsagree.com/mcpstreamable-httpWhat it can do
Tool inventory
Tools (5)
🟢search_best(query)
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.
Input Schema
{
"type": "object",
"properties": {
"query": {
"type": "string",
"description": "A category, use-case, or brand name — e.g. 'best llm observability', 'ci/cd for cloud native', or 'Langfuse'."
}
},
"required": [
"query"
]
}🟢get_best_in_category(slug)
Get the full ranked leaderboard and verdict for a category slug (obtained from search_best or list_categories), e.g. 'best-llm-observability'.
Input Schema
{
"type": "object",
"properties": {
"slug": {
"type": "string",
"description": "Category slug, e.g. best-llm-observability"
}
},
"required": [
"slug"
]
}🟢get_product(slug)
Get a single brand/product's record across every category it is ranked in, with verdicts and its homepage.
Input Schema
{
"type": "object",
"properties": {
"slug": {
"type": "string",
"description": "Product slug, e.g. langfuse"
}
},
"required": [
"slug"
]
}🟢get_poll_history(slug, model, limit)
Get the raw poll history — every model's pick over time — behind a category's verdict. The credibility/audit trail. Optionally filter by model.
Input Schema
{
"type": "object",
"properties": {
"slug": {
"type": "string",
"description": "Category slug, e.g. best-llm-observability"
},
"model": {
"type": "string",
"enum": [
"ChatGPT",
"Claude",
"Gemini",
"Grok"
],
"description": "Optional: only this model's picks."
},
"limit": {
"type": "integer",
"minimum": 1,
"maximum": 500,
"description": "Optional: max rows (default 100)."
}
},
"required": [
"slug"
]
}🟢list_categories
List every category ModelsAgree ranks (slug + title). Large; prefer search_best when you have a specific need.
Input Schema
{
"type": "object",
"properties": {}
}Community
Evidence