Skip to main content
Glama

Meta Muse MCP Server by useapi.net (third-party)

Chat with Muse

muse_chat

Send a message to Muse, Meta's AI agent (it talks, researches the web, writes and runs code, makes images and videos), and get its answer. Without chatId a new chat starts; with chatId the message continues that chat. Waits up to ~50 s for the answer, then returns chatId, status (completed / waiting_for_approval / running / interrupted), the agent's text for this answer, the files it made (asset ids + download urls), widgets (quick-reply options) and pending permission requests. When status is running, call muse_get_chat (chatId, wait: true, after: lastEventId) for the rest. Uses the account's weekly Muse allowance. POST /chats or POST /chats/{chatId}/messages, then GET /chats/{chatId}/stream.

Input Schema

NameRequiredDescriptionDefault
emailNoNew chats only: the Muse account to chat on. Optional; required when only workspace paths are sent and the token has several accounts.
filesNoOptional inputs: asset ids (up to 9 images, 3 videos, 3 audio files) and workspace paths of other files from muse_write_file / muse_list_files (up to 10), e.g. workspace/your_files/report.pdf.
chatIdNoContinue this chat (from an earlier muse_chat or muse_list_chats). Omit to start a new chat.
messageYesWhat you say to Muse, up to 5000 characters. Name the files image_1, video_1, audio_1, file_1… in the order listed.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.6/5.0
Behavior5/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations declare this is not read-only and is open-world but say nothing about latency, cost, or payload. The description fills those gaps: ~50 s wait, a named status enum (completed / waiting_for_approval / running / interrupted), the fact that the account's weekly Muse allowance is consumed, and that pending permission requests may be returned. This is exactly the context annotations cannot carry.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Front-loaded with purpose, then return payload, then the escalation path; every sentence carries information. The trailing endpoint trace ('POST /chats or POST /chats/{chatId}/messages, then GET ...') is low-value for an agent choosing a tool and is the only expendable line.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

No output schema exists, so the description must describe the return shape itself — and it does: chatId, status, agent text, created assets with download urls, widgets, and pending permission requests. Combined with the timeout and quota disclosure, an agent has everything needed to call this correctly and handle the partial-result case.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, including the email, files, chatId, and message semantics plus the image_1/video_1 naming convention, so the schema already does the heavy lifting. The description restates the chatId new-vs-continue behavior but adds no syntax or constraint detail beyond the schema, making the baseline 3 correct.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

Specific verb+resource ('Send a message to Muse ... and get its answer') with a scope qualifier that separates the new-chat and continue-chat modes. It also names the sibling tools it complements (muse_get_chat, muse_list_chats), so an agent can place it in the toolset without opening schemas.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicit branching rule: omit chatId to start a new chat, supply chatId to continue one. It further routes the agent to muse_get_chat (chatId, wait: true, after: lastEventId) precisely when status comes back 'running', which is a concrete when-to-use-alternative instruction rather than an implication.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources