# AgentIndex

> Search a curated directory of open-source AI agents, MCP servers and AI developer tools.

- name: app.agentindex/agentindex
- version: 1.1.0
- connection class: R0 (autonomous)
- trust: 83/100 flags: no-repository
- quality: 85/100 (new)
- owner: not claimed
- descriptor: https://api.protogrid.dev/v1/servers/app.agentindex%2Fagentindex
- tools: https://api.protogrid.dev/v1/servers/app.agentindex%2Fagentindex/tools

**An agent can connect right now, no human step.** Remote endpoint, no authentication, reachable on the last probe.

## Connection (mcpServers)

```json
{
  "mcpServers": {
    "agentindex": {
      "type": "http",
      "url": "https://agentindex.app/api/mcp/"
    }
  }
}
```


## Trust

- hygiene: 80
- liveness: 100
- freshness: 100
- provenance: 55
- drivers: +dns-namespace +website +reachable +uptime-100% +updated-4d-ago -no-repository
- Derived from observable signals (official registry feed and our own credential-free probes); no code audit performed.

## Quality 85/100 (new)

### protocol: 75 (weight 25)

- warn `protocol.modern`: newest supported version is 2025-11-25; 2026-07-28 not supported, older versions are deprecated until 2027-07-28
- n/a `protocol.stateless`: only applies to 2026-07-28 servers
- pass `protocol.transport`: streamable HTTP
- n/a `protocol.list_ttl`: only applies to 2026-07-28 servers

### authorization: n/a (weight 15)

- n/a `auth.prm`, `auth.as_metadata`, `auth.cimd`: no remote uses OAuth
- n/a `auth.secret_in_url`: no templated URL

### tool hygiene: 93 (weight 30)

- pass `tools.descriptions`: every tool has a description
- pass `tools.description_length`: descriptions are concise
- pass `tools.schemas`: every tool has an object input schema
- pass `tools.annotations`: 5 of 5 tools declare readOnlyHint or destructiveHint
- warn `tools.directory_hints`: 1 of 5 tools declare all four hints; missing: get_tool_detail (destructiveHint, idempotentHint); get_trending (destructiveHint, idempotentHint); search_tools (destructiveHint, idempotentHint); …
- pass `tools.token_cost`: about 1,052 tokens to load every tool
- pass `tools.api_dump`: tools are not a one-to-one API dump

### stability: n/a (weight 15)

- n/a `stability.changes`, `stability.rug_pull`: tool history recorded for 3 of the 7 days needed

### dependencies: n/a (weight 15)

- n/a `deps.known_vulns`, `deps.mcp_sdk_version`, `deps.resolvable`: no npm or PyPI package

- tools: 5, about 1,052 tokens to load them all
- tool set hash: ee2a97a324bde7e7163eaf2681a92ed8
- tools last changed: 2026-10-16T17:09:52.125Z
- badge: [![protogrid quality](https://protogrid.dev/badge/app.agentindex/agentindex.svg)](https://protogrid.dev/servers/app.agentindex/agentindex)
- Checks run on what our credential-free, read-only probes observe; tools are never called and no code audit is performed.

### Tool changes

- 2026-10-16 `submit_tool` changed (description, inputSchema, outputSchema) **meaning changed**
  - before: Submit a new AI tool or MCP server to AgentIndex for review. No login required.
  - after: 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.
- 2026-10-16 `get_trending` changed (description, inputSchema, outputSchema) **meaning changed**
  - before: Get trending/top-ranked AI tools.
  - after: 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}.
- 2026-10-16 `list_categories` changed (description, outputSchema) **meaning changed**
  - before: List all tool categories with their tool counts.
  - after: 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.
- 2026-10-16 `get_tool_detail` changed (description, inputSchema, outputSchema) **meaning changed**
  - before: Get full details for a specific tool by its ID.
  - after: 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.
- 2026-10-16 `search_tools` changed (description, inputSchema, outputSchema) **meaning changed**
  - before: Search AI tools, agents, and MCP servers by keyword or category.
  - after: 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.

Full history: https://api.protogrid.dev/v1/servers/app.agentindex%2Fagentindex/changes

## Remotes

- https://agentindex.app/api/mcp/ (streamable-http, auth none, reachable true, uptime30d 1)

## Packages

_none_

## Tools (5)

- `get_tool_detail`: 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.
- `get_trending`: 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}.
- `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.
- `search_tools`: 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.
- `submit_tool`: 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.