agent-as-model

Install

Works with Claude Code, Codex, VS Code, Cursor, Windsurf, Claude Desktop. Read the repository before you give any tool access to your data.

npx agentmarket install connector/fernandogarzaaa-agent-as-model

About

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Permissions

What this server can do and what it asks for, from its tool list, install config and code. Checked Oct 25, 2026.

Tools

3 read · 2 write · 0 delete · 1 not yet classified

Secrets

None asked for

Install scripts

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Runs as

Python package

Tools (6)

Read from the source code; the running server may differ. Descriptions are the server’s own words; hidden characters are shown as [U+…].

• chat_complete

  Generate a chat completion from an OpenAI chat-completions-shaped request. The completion is produced by the host agent's own model: direct MCP sampling on pre-2026-07-28 connections, an MRTR InputRequiredResult carrying the request payload on 2026-07-28+. When output_schema is given, the request carries exactly one required tool whose input schema is that schema, and the validated structured completion is returned as JSON text. When tools is given, the tool definitions are forwarded to the host's model with tool_choice, but only if the host advertised the sampling.tools capability: otherwise …

• generate

  Generate a raw text completion from a plain prompt string. The prompt is sent as a single user sampling message with no system prompt and no chat formatting: raw prompt in, completion text out, produced by the host agent's own model. Same model hint and parameters as the other completion tools, minus any chat or tool features: no tools, no output_schema, no tool_choice. It does accept the optional persona contract ({name, input_schema, output_schema}): request/response validation only, never a sampling feature, so the thin path stays zero overhead. Session cursors: the server keeps no session …

• list_models

  List the models this server offers. There is exactly one: agent-default, an alias for the host agent's own model.

• messages_create

  Generate a completion from an Anthropic messages-shaped request. The completion is produced by the host agent's own model: direct MCP sampling on pre-2026-07-28 connections, an MRTR InputRequiredResult carrying the request payload on 2026-07-28+. When output_schema is given, the request carries exactly one required tool whose input schema is that schema, and the validated structured completion is returned as JSON text. When tools is given, the tool definitions are forwarded to the host's model with tool_choice, but only if the host advertised the sampling.tools capability: otherwise the tools …

• responses_create

  Generate a completion from an OpenAI Responses-shaped request, returning the Responses API response object. The completion is produced by the host agent's own model: direct MCP sampling on pre-2026-07-28 connections, an MRTR InputRequiredResult carrying the request payload on 2026-07-28+. `input` is a string or a list of input items; each item is {role, content} with role user, assistant, system, or developer, and content a string or a list of text parts ({type: 'input_text'|'text', input_text: '...'}). A string input becomes one user message. System and developer items fold into the system pr…

• structured_output

  Return the completion as structured data matching this tool's input schema. You must call this tool.

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Weekly downloads

467

Last commit

Oct 19, 2026 (10 days ago)

Last release

Oct 19, 2026 (10 days ago)

Last package publish

Oct 19, 2026 (10 days ago)

From GitHub (fetched Oct 24, 2026) and the package registry.

Details

Registry name

io.github.fernandogarzaaa/agent-as-model

Version

0.2.0

Auth

No auth

Packages

pypi agent-as-model

License

MIT

Repository

github.com/fernandogarzaaa/agent-as-model

First seen

Oct 24, 2026

Last checked

Oct 24, 2026

Source

Official MCP Registrygithub-graphql