MCP MeasureMCP Measure

index observed

Agent Radar

Search, inspect, recommend, and explain rated AI tools through Agent Radar.

Should I use this

Quality & Safety

A
Description quality
73%
Schema completeness
98%
Naming quality
90%
Poisoning risk
100%
Permission match
100%
Protocol compliance
100%

Findings (3)

  • LOWTool 'get_tool_card' description lacks action verbin get_tool_card
  • LOWTool 'recommend_tools' description lacks action verbin recommend_tools
  • LOWTool 'explain_rating' description lacks action verbin explain_rating

Based on automated analysis of tool definitions and protocol compliance.

Context Cost

~1,133Tokens (tool definitions)
~3.1 KBTypical response size
Moderate attention impact (0.89% of 128k context)

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": {
    "agent-radar": {
      "url": "https://agent-radar.zation1.workers.dev/api/mcp"
    }
  }
}

Remote endpoints

https://agent-radar.zation1.workers.dev/api/mcpstreamable-http

What it can do

Tool inventory

Tools (4)

🟢 Read-only🟡 Write🔴 Delete⚪ Unknown
🟢search_tools(query, top_k, filters)

Search Agent Radar Tool Cards by query text and optional type, tag, or risk filters.

Input Schema

{
  "type": "object",
  "properties": {
    "query": {
      "default": "",
      "description": "Free-text tool name, capability, or task to search for. Use an empty string to browse the highest-rated matching catalog entries.",
      "type": "string"
    },
    "top_k": {
      "default": 5,
      "description": "Maximum number of results to return, from 1 to 50. Defaults to 5.",
      "type": "integer",
      "minimum": 1,
      "maximum": 50
    },
    "filters": {
      "description": "Optional exact-match filters applied before search ranking.",
      "type": "object",
      "properties": {
        "type": {
          "description": "Exact Agent Radar tool type to include, such as mcp, skill, agent, framework, or cli.",
          "type": "string",
          "enum": [
            "mcp",
            "skill",
            "agent",
            "framework",
            "cli",
            "prompt",
            "rules",
            "dataset",
            "service"
          ]
        },
        "tags": {
          "description": "Exact catalog tags that every returned tool must contain.",
          "type": "array",
          "items": {
            "type": "string"
          }
        },
        "risk_level": {
          "description": "Exact assessed risk level to include: low, medium, high, critical, or unknown.",
          "type": "string",
          "enum": [
            "low",
            "medium",
            "high",
            "critical",
            "unknown"
          ]
        }
      },
      "additionalProperties": false
    }
  },
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "additionalProperties": false
}

Output Schema

{
  "type": "object",
  "properties": {},
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "additionalProperties": {}
}
🟢get_tool_card(tool_id)

Return one Tool Card and its Rating Result by stable tool_id.

Input Schema

{
  "type": "object",
  "properties": {
    "tool_id": {
      "type": "string",
      "minLength": 1,
      "description": "Stable Agent Radar tool identifier, usually obtained from search_tools results."
    }
  },
  "required": [
    "tool_id"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "additionalProperties": false
}

Output Schema

{
  "type": "object",
  "properties": {},
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "additionalProperties": {}
}
🟢recommend_tools(task, language_or_stack, environment, preferred_tool_types, allowed_permissions, ...)

Recommend known tools for a task using request-scoped LLM credentials when required.

Input Schema

{
  "type": "object",
  "properties": {
    "task": {
      "type": "string",
      "minLength": 1,
      "description": "Natural-language development task for which Agent Radar should recommend suitable AI tools."
    },
    "language_or_stack": {
      "description": "Programming languages, frameworks, runtimes, or other stack constraints relevant to the task.",
      "type": "array",
      "items": {
        "type": "string"
      }
    },
    "environment": {
      "description": "Execution contexts such as local development, CI, browser, cloud, IDE, or production.",
      "type": "array",
      "items": {
        "type": "string"
      }
    },
    "preferred_tool_types": {
      "description": "Agent Radar tool types to prefer when selecting candidates.",
      "type": "array",
      "items": {
        "type": "string",
        "enum": [
          "mcp",
          "skill",
          "agent",
          "framework",
          "cli",
          "prompt",
          "rules",
          "dataset",
          "service"
        ]
      }
    },
    "allowed_permissions": {
      "description": "Permission scope names the caller is willing to allow; candidates outside these boundaries are treated conservatively.",
      "type": "array",
      "items": {
        "type": "string"
      }
    },
    "risk_tolerance": {
      "description": "Maximum preferred risk tolerance for the recommendation: low, medium, or high.",
      "type": "string",
      "enum": [
        "low",
        "medium",
        "high"
      ]
    },
    "existing_tools": {
      "description": "Tools already available to the project or agent, used as compatibility and duplication context.",
      "type": "array",
      "items": {
        "type": "string"
      }
    },
    "budget": {
      "description": "Natural-language cost constraint, such as free, free_or_low_cost, or a project-specific budget.",
      "type": "string"
    },
    "output_format": {
      "description": "Preferred presentation format for recommendation content: json or markdown. MCP still returns structured content.",
      "type": "string",
      "enum": [
        "json",
        "markdown"
      ]
    },
    "top_k": {
      "description": "Maximum number of recommended candidates to return, from 1 to 50. Defaults to 5 when omitted.",
      "type": "integer",
      "minimum": 1,
      "maximum": 50
    },
    "model": {
      "description": "LLM provider model identifier recognized by Agent Radar. Omit it to use the server-configured or registry default model.",
      "type": "string",
      "minLength": 1
    }
  },
  "required": [
    "task"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "additionalProperties": false
}

Output Schema

{
  "type": "object",
  "properties": {},
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "additionalProperties": {}
}
🟢explain_rating(tool_id)

Return rating dimensions, explanations, penalties, and boosts for one tool_id.

Input Schema

{
  "type": "object",
  "properties": {
    "tool_id": {
      "type": "string",
      "minLength": 1,
      "description": "Stable Agent Radar tool identifier, usually obtained from search_tools results."
    }
  },
  "required": [
    "tool_id"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "additionalProperties": false
}

Output Schema

{
  "type": "object",
  "properties": {},
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "additionalProperties": {}
}

Community

Rate this Server

Evidence

Recent observations

verifiedversion not recorded4 tools
verifiedversion not recorded4 tools