AgentIndex
Search a curated directory of open-source AI agents, MCP servers and AI developer tools.
Sollte ich dies verwenden
Qualität und Sicherheit
Basierend auf einer automatisierten Analyse der Tool-Definitionen und der Einhaltung des Protokolls.
Kontextkosten
Dies ist die ungefähre Anzahl der Tokens, die jedes Mal verbraucht werden, wenn die Tools des Servers in den Kontext eines Modells geladen werden. Höhere Werte verringern die Aufmerksamkeit, die für andere Aufgaben verfügbar ist.
Installieren
Installation mit einem Klick
Fügen Sie dies Ihrer Datei `claude_desktop_config.json` hinzu:
{
"mcpServers": {
"agentindex": {
"url": "https://agentindex.app/api/mcp/"
}
}
}Remote-Endpunkte
https://agentindex.app/api/mcp/streamable-httpWas es kann
Tool-Inventar
Tools (5)
🟢search_tools(query, category, limit)
Find AI agents, MCP servers and AI developer tools in the AgentIndex directory by keyword and/or category. Use this when the user describes a need ("MCP server for Postgres", "browser automation agent"); use get_trending instead to browse the best tools without a query. Every keyword must appear (case-insensitive) in the name, description, tags or category. Results are ordered by rank_score, highest first. Returns an array of {id, name, category, description, stars, website, github_url, tags, rank_score}; an empty array means no match, so retry with fewer or broader keywords. Pass an id to get_tool_detail for features, use cases and the install command.
Eingabe-Schema
{
"type": "object",
"properties": {
"query": {
"type": "string",
"description": "Space-separated keywords, all of which must match, e.g. \"postgres mcp\" or \"browser automation\". Omit to list the top tools of a category."
},
"category": {
"type": "string",
"description": "Exact category name from list_categories (case-insensitive), e.g. \"Browser Automation\" or \"RAG / Knowledge Base\". Omit to search all categories."
},
"limit": {
"type": "integer",
"minimum": 1,
"maximum": 50,
"default": 10,
"description": "Maximum number of results (1-50, default 10)."
}
}
}Ausgabe-Schema
{
"type": "object",
"properties": {
"tools": {
"type": "array",
"items": {
"type": "object",
"properties": {
"id": {
"type": "string",
"description": "Tool id for get_tool_detail"
},
"name": {
"type": "string"
},
"category": {
"type": [
"string",
"null"
]
},
"description": {
"type": [
"string",
"null"
]
},
"stars": {
"type": [
"string",
"number",
"null"
],
"description": "GitHub stars, e.g. \"12.3k\""
},
"website": {
"type": [
"string",
"null"
]
},
"github_url": {
"type": [
"string",
"null"
]
},
"rank_score": {
"type": [
"number",
"null"
],
"description": "AgentIndex rank, 0-100"
},
"tags": {
"type": [
"array",
"null"
],
"items": {
"type": "string"
}
}
},
"required": [
"id",
"name"
]
}
}
},
"required": [
"tools"
]
}🟢get_tool_detail(id)
Get the full AgentIndex record for one tool when you already have its id (from search_tools, get_trending or an AgentIndex URL such as agentindex.app/en/tool/<id>/). Returns name, description, long intro, summary, features, use cases, pros and cons, when to choose or skip it, compatibility, install command, license, stars, last update date, tags, rank_score, website and GitHub URL. Fields that were never filled in are omitted. Returns an isError result if no tool has that id; use search_tools to find the right id.
Eingabe-Schema
{
"type": "object",
"properties": {
"id": {
"type": "string",
"description": "Tool id exactly as returned by search_tools or get_trending, usually \"<github-owner>-<repo>\", e.g. \"hangwin-mcp-chrome\"."
}
},
"required": [
"id"
]
}Ausgabe-Schema
{
"type": "object",
"properties": {
"id": {
"type": "string",
"description": "Tool id for get_tool_detail"
},
"name": {
"type": "string"
},
"category": {
"type": [
"string",
"null"
]
},
"description": {
"type": [
"string",
"null"
]
},
"stars": {
"type": [
"string",
"number",
"null"
],
"description": "GitHub stars, e.g. \"12.3k\""
},
"website": {
"type": [
"string",
"null"
]
},
"github_url": {
"type": [
"string",
"null"
]
},
"rank_score": {
"type": [
"number",
"null"
],
"description": "AgentIndex rank, 0-100"
},
"intro_long": {
"description": "Longer introduction"
},
"summary": {
"description": "Short summary, { en, zh } or a string"
},
"features": {
"description": "Feature list"
},
"use_cases": {
"description": "Use case list"
},
"pros": {
"description": "Strengths"
},
"cons": {
"description": "Weaknesses"
},
"choose_if": {
"description": "When to pick this tool"
},
"skip_if": {
"description": "When to pick something else"
},
"compatibility": {
"description": "Compatible clients and platforms"
},
"install_command": {
"type": [
"string",
"null"
]
},
"license": {
"type": [
"string",
"null"
]
},
"last_updated": {
"type": [
"string",
"null"
]
},
"tags": {
"type": [
"array",
"null"
],
"items": {
"type": "string"
}
},
"ai_tags": {
"type": [
"array",
"null"
],
"items": {
"type": "string"
}
}
},
"required": [
"id",
"name"
]
}🟢list_categories
List every category in the AgentIndex directory with the number of tools in it, largest first. Call this before using the category filter of search_tools to get valid names, or to give the user an overview of the directory. Returns an array of {category, count}. Takes no arguments.
Eingabe-Schema
{
"type": "object",
"properties": {}
}Ausgabe-Schema
{
"type": "object",
"properties": {
"categories": {
"type": "array",
"items": {
"type": "object",
"properties": {
"category": {
"type": "string"
},
"count": {
"type": "integer"
}
},
"required": [
"category",
"count"
]
}
}
},
"required": [
"categories"
]
}🟢get_trending(limit)
Get the highest-ranked tools across the whole AgentIndex directory, for questions like "what are the best/most popular open-source AI tools right now". Ranking is by rank_score (0-100), which combines GitHub stars, how recently the repository was updated and the quality of its documentation; it is not a weekly-growth chart. Use search_tools instead when the user needs a specific kind of tool. Returns an array of {id, name, category, description, stars, rank_score, ai_tags, website, github_url}.
Eingabe-Schema
{
"type": "object",
"properties": {
"limit": {
"type": "integer",
"minimum": 1,
"maximum": 50,
"default": 10,
"description": "Number of tools to return (1-50, default 10)."
}
}
}Ausgabe-Schema
{
"type": "object",
"properties": {
"tools": {
"type": "array",
"items": {
"type": "object",
"properties": {
"id": {
"type": "string",
"description": "Tool id for get_tool_detail"
},
"name": {
"type": "string"
},
"category": {
"type": [
"string",
"null"
]
},
"description": {
"type": [
"string",
"null"
]
},
"stars": {
"type": [
"string",
"number",
"null"
],
"description": "GitHub stars, e.g. \"12.3k\""
},
"website": {
"type": [
"string",
"null"
]
},
"github_url": {
"type": [
"string",
"null"
]
},
"rank_score": {
"type": [
"number",
"null"
],
"description": "AgentIndex rank, 0-100"
},
"ai_tags": {
"type": [
"array",
"null"
],
"items": {
"type": "string"
}
}
},
"required": [
"id",
"name"
]
}
}
},
"required": [
"tools"
]
}🟡submit_tool(github_url, email)
Suggest a GitHub repository (an AI agent, MCP server or AI developer tool) for listing on AgentIndex. No login or API key needed. The submission is queued for human review, usually within 1-3 days; it does not appear in search results immediately. Tools are listed only if the repository is public and has at least 100 stars. Check with search_tools first that the tool is not already listed. Returns {success, message, github_url}, or an isError result if the URL is not a GitHub repository URL or the submission service is unavailable.
Eingabe-Schema
{
"type": "object",
"properties": {
"github_url": {
"type": "string",
"pattern": "^https://github\\.com/[^/\\s]+/[^/\\s]+/?$",
"description": "Repository URL in the form https://github.com/<owner>/<repo>, e.g. https://github.com/modelcontextprotocol/servers."
},
"email": {
"type": "string",
"format": "email",
"description": "Optional address that receives an email when the review is done. Only send it if the user provided it."
}
},
"required": [
"github_url"
]
}Ausgabe-Schema
{
"type": "object",
"properties": {
"success": {
"type": "boolean"
},
"message": {
"type": "string"
},
"github_url": {
"type": "string"
}
},
"required": [
"success",
"message"
]
}Community
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