AgentSpawnMCP (sandsaber/AgentSpawnMCP) is an MCP server listed on the M8ven Trust Index. It scores 54 out of 100, grade D. It declares 19 tools. No publisher has claimed this listing.
A universal MCP server for spawning agents with any OpenAI-compatible LLM, supporting cloud and local models, and integrating with Claude Code, OpenCode, and Codex CLI.
Caution. Specific findings reduced this grade. They are listed on the page. Grades reflect the full trust pyramid: code, verification depth, and reputation. New projects cap at C until adoption is earned.
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sandsaber
Source: Glama
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Install from
The grade above is for the source repository. Registries can serve a different version, so we mark the ones we were not able to read.
These names and descriptions are the publisher's own, read from the source code. We print them as written. Our assessment is the findings above, not this list.
agentUnified agent combining files, images, web search, and code execution.
chatText chat with optional persistent session history.
stateful_chatStateful chat via response_id for continued conversations. Provider must support stateful capability.
list_chat_sessionsList all saved chat sessions for the active provider.
get_chat_historyGet full message history for a session.
clear_chat_historyDelete the history file for a session.
upload_fileUpload a file to the provider's file storage.
list_filesList uploaded files with sorting.
get_file_contentDownload and return file content by ID. Truncates large files.
delete_fileDelete a file by ID.
chat_with_filesChat with uploaded documents using file attachments.
list_providersList all configured providers and their models.
list_modelsList available models for the active provider.
web_searchWeb search via agentic tool. Provider must support search capability.
code_executorExecute code for calculations and analysis. Provider must support code_exec capability.
chat_with_visionAnalyze images with text. Local images are base64-encoded. Supported formats: jpg, jpeg, png. Provider must support vision capability.
generate_imageGenerate an image from text (optionally edit an existing one).
agent_infoGet information about the current agent provider.
agent_toolOPENAI_TOKENLOCAL_TOKENOLLAMA_HOSTOLLAMA_MODELOLLAMA_MODELSLMSTUDIO_MODELJAN_MODELTool annotations
7/19 tools have annotations
Add readOnlyHint or destructiveHint annotations to every tool so hosts can warn users before invoking.
All four hints declared on every tool
19/19 tools missing one or more hints — agent (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); chat (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); stateful_chat (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint), +16 more. OpenAI's directory rejects tools where any of the four hints are missing or non-boolean.
For every tool, set all four hints (readOnlyHint, destructiveHint, idempotentHint, openWorldHint) to explicit true/false values that match the handler’s actual behaviour.
Destructive tools are labelled
1 tool perform destructive updates without destructiveHint — clear_chat_history deletes at line 121 (path.unlink())
Add destructiveHint:true to any tool whose handler calls .delete(), .upsert(), .update(), unlink, rm, DELETE, DROP, REPLACE INTO, or any operation that overwrites existing data.
Tool inputs are validated
14/18 tool handlers declare input schemas (78%)
Declare an inputSchema with zod/joi/yup on every tool definition.
Tool handlers catch errors
Only 0/18 tool handlers wrap calls in try/catch (0%)
Wrap each tool handler body in try/catch and return a structured error response.
Tests exist
No test files found
Add tests that exercise each declared tool.
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