inference.sh MCP Server
by
inference-sh
answering
inference.sh is answering right now. Last checked 1 min ago. It exposes 25 tools.
run any ai model. compose agents, stack knowledge, connect tools. one api, pay per run.
Uptime history
53 hours of history · worst hour 67%
53 hours agonow
100.0%
Uptime 24h
92 of 92 checks
25
Tools
read from the server
84 ms
Response time
average over 24h
open, no key
Access
streamable-http
Connect this server
Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 1 min ago.
run in your terminal
claude mcp add mcp --transport http https://api.inference.sh/mcp~/Library/Application Support/Claude/claude_desktop_config.json
{
"mcpServers": {
"mcp": {
"url": "https://api.inference.sh/mcp"
}
}
}~/.codex/config.toml
[mcp_servers.mcp]
url = "https://api.inference.sh/mcp".cursor/mcp.json
{
"mcpServers": {
"mcp": {
"url": "https://api.inference.sh/mcp"
}
}
}.vscode/mcp.json
{
"mcpServers": {
"mcp": {
"url": "https://api.inference.sh/mcp"
}
}
}Available tools 25
Read directly from the server with tools/list, grouped by what they act on.
If a tool disappears, we record the date.
mcp
mcp_connect
Initiate a connection to an MCP server. For OAuth servers, returns an authorization URL to open in a browser.
mcp_disconnect
Remove connection to an MCP server
mcp_get
Get details about an MCP server including connection status
mcp_list
Browse available MCP servers that can be connected to
mcp_run
Call a tool on a connected MCP server. The server must be connected first via mcp_connect.
mcp_search
Search available MCP servers by query
mcp_tools
List available tools on a connected MCP server, or get details for a specific tool
skill
skill_files
List supplementary files for a skill (references, scripts, etc.)
skill_search
Search the public skill store
skill_store
Browse approved skills in the public skill store
skill_upload
Create or update a skill with SKILL.md content and optional supporting files
skill_use
Fetch a skill's assembled SKILL.md content. Tries the inference.sh store first, falls back to GitHub. Returns the full skill content for the agent to consume.
skill_view
View a specific supplementary file from a skill's manifest
knowledge
knowledge_create
Create a new knowledge entry (concept, observation, preference, reference, etc.)
knowledge_delete
Delete a knowledge entry by ID
knowledge_get
Get detailed information about a knowledge entry by namespace/name or ID
knowledge_list
List your knowledge entries, optionally filtered by type
knowledge_search
Search your knowledge entries by query
task
task_cancel
Cancel a running or queued task
task_get
Get status and output of a task
task_list
List your tasks on inference.sh
task_logs
Get execution logs for a task
app
app_get
Get detailed app info including input/output schemas and version history
app_list
Search and filter available apps on inference.sh
app_run
Run an app on inference.sh. Creates a task that executes the app with the given input.
Endpoints
| URL | Transport | State | Latency | Checked |
|---|---|---|---|---|
| https://api.inference.sh/mcp | streamable-http | answering | 103 ms | 1 min ago |
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inference.sh — questions
Answers built from our own checks of this server.
What can inference.sh do?
It exposes 25 tools, read directly from the server on our last check. Among them: app_get, app_list, app_run, knowledge_create, knowledge_delete, knowledge_get and 19 more. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README.
How MCP servers expose tools in the first place →
What is inference.sh mostly used for?
Its tools cluster around mcp, skill and knowledge. That is what this server is built to work with — the grouping comes from the actual tool names, not from a category we assigned.
Is inference.sh working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 92 of 92 checks got a reply (100.0%), average response time 84 ms. The bar chart above shows every period we have measured.
How do I connect inference.sh?
Copy the ready config from this page — we generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each with the file path that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.
Does inference.sh need an API key?
No. inference.sh completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 25 of them are readable on this page. This is what we observed, not what the docs claim.
How fast is inference.sh?
It answers our handshake in 84 ms on average, which is faster than 89% of all working MCP servers we measure. That puts it in the quick quarter of the ecosystem. The comparison comes from our own checks across the whole registry, every 15 minutes.