Mistral is answering right now. Last checked 10 min ago. It exposes 15 tools. Last commit 1 Sep 2026.
Manage your Mistral platform — models, files, batch jobs, agents and RAG document libraries.
Today is the operative word: we check Mistral every 15 minutes and re-read its code on every release. Watch it and you find out the day that stops being true.
Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 10 min ago.
claude mcp add mistral --transport http https://mistral.usefulapi.io/mcp
{
"mcpServers": {
"mistral": {
"url": "https://mistral.usefulapi.io/mcp"
}
}
}
[mcp_servers.mistral]
url = "https://mistral.usefulapi.io/mcp"
{
"mcpServers": {
"mistral": {
"url": "https://mistral.usefulapi.io/mcp"
}
}
}
{
"mcpServers": {
"mistral": {
"url": "https://mistral.usefulapi.io/mcp"
}
}
}
Read directly from the server with tools/list, grouped by what they act on.
If a tool disappears, we record the date.
mistral_cancel_batch_job
mistral_create_agent
mistral_delete_file
mistral_get_agent
mistral_get_batch_job
mistral_get_file
mistral_get_file_url
mistral_get_library
mistral_get_model
mistral_list_agents
mistral_list_batch_jobs
mistral_list_files
mistral_list_libraries
mistral_list_library_documents
mistral_list_models
| URL | Transport | State | Latency | Checked |
|---|---|---|---|---|
| https://mistral.usefulapi.io/mcp | streamable-http | answering | 45 ms | 10 min ago |
Ingest, manage, and retrieve documents for RAG-powered AI applications
Local-first RAG MCP server: hybrid search over a folder of your own documents
Classify documents, extract structured fields, mask PII, export JSONL/RAG datasets for AI agents.
Semantic document memory using Redis vector store. Save and recall files with natural language.
Rip YouTube transcripts to disk for AI agents, RAG pipelines, and LLM workflows.
Shared memory + orchestration for your coding agents. Local-first MCP, vector RAG.
Bounded KVP, RAG search, and wipe receipts for agent jobs over remote MCP
Agent-first resource directory for AI agents: protocols, security, RAG, memory, evals, and more.
Answers built from our own checks of this server.