AI infrastructure & agent explorers
AI Agent Tool Explorer
Index of tools AI agents can call: this site, the MCP Registry or your definitions, by capability.
Try an example: Pasted OpenAI + Anthropic tool definitions (offline) · Search this site's tools only (offline)
How it works
A searchable index of tools an AI agent can call: this platform's own tools (with API, definition and MCP names), servers in the official MCP Registry, or tool definitions you paste (MCP tools/list, OpenAI function tools, Anthropic tools). Every entry gets inferred capability tags (read, write, delete, execute, network, files, payments, messaging, secrets), a risk level, a parameter summary and a machine-readable JSON-schema definition.
- Platform tools come from this site's live registry (id, name, tagline, keywords); each links to its definition (GET /api/v1/tools/{id}: input + output JSON Schema), its calculate endpoint and its MCP tool name.
- MCP Registry: GET https://registry.modelcontextprotocol.io/v0/servers?search=… (official, self-published metadata) with links to the server's latest version record, repository and remote endpoints.
- Pasted definitions are normalised from MCP (inputSchema), OpenAI (function.parameters) and Anthropic (input_schema) shapes into the MCP tools/list shape.
- Capabilities and risk use the same rules as the MCP Server Explorer: write/delete/execute from the tool name, network/files/payments/messaging/secrets from name + description. They are inferences, not guarantees.
- Search scores each query word against name (weight 3), keywords (2) and description (1); prefixes count 60 %.
For scripts and AI agents
- JSON API:
POST https://aiagenttoolexplorer.usefulweb.site/api/v1/calculate(same calculation as this page) - Interface description: OpenAPI 3.1 · AI guide: llms.txt
- MCP server (Streamable HTTP):
https://aiagenttoolexplorer.usefulweb.site/mcp· tool nameai_agent_tool_explorer
Example request
curl -s -X POST https://aiagenttoolexplorer.usefulweb.site/api/v1/calculate \
-H 'content-type: application/json' \
-d '{…see OpenAPI examples…}'Related tools
- MCP Server Explorer – Inspect any MCP server before you connect an AI agent: tools, permissions, risks, changes over time.
- Agent Permission Graph – See what your AI agent can reach: MCP servers, commands, files, network and secrets – with risks.
- Structured Output Validator – Validate AI JSON output against a JSON Schema: parse errors with line/column, plain-language fixes.