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  3. SandBase CLI
SandBase CLI logo
Health: ActiveRecent health check succeeded.Last checked 10/11/2026, 5:17:49 PM

SandBase CLI

User RatingsBe the first to rate and review this MCP server!
View Repository188 GitHub StarsTotal stargazers on GitHub for the source repository (188 stars).Visit Website
ai-modelsapi-gatewaymcpdeveloper-tools

Connects AI agents to 2,000+ models and APIs for discovery, inspection, execution, and run tracking through MCP.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

Add to CursorAdd to VS Code
We couldn’t automatically confirm this listing starts correctly

The install command below didn't complete successfully in our automated test.

npm ERR! could not determine executable to run npm ERR! A complete log of this run can be found in: /home/user/.npm/_logs/2026-09-17T23_07_29_330Z-debug-0.log

This is an experimental automated check and can have false negatives — missing environment variables, a slow cold install, etc. It doesn’t necessarily mean something’s wrong. Last checked 24d ago.

Manual Client & Custom JSON ConfigExpand JSON ▾

Client Config & Setup

Remote HTTP
Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "sandbase-cli": {
      "url": "https://tensorblock.co/mcp/servers/github-sandbaseai-cli-c4e113db"
    }
  }
}

💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Tool Schemas (6) Directory Badge Claim listing Alternatives🔗 More in Aggregators

Overview

SandBase CLI MCP server connects supported AI clients to more than 2,000 models and APIs through a local MCP bridge. Agents can search the catalog, inspect schemas and pricing, execute endpoints, poll asynchronous runs, and review usage costs. Browser authorization is required once, while the README says API keys do not need to be managed manually. Reach for it when an agent needs access to varied AI capabilities without configuring each provider separately.

Use cases

•Discover models for a requested AI task
•Inspect endpoint schemas and pricing before execution
•Run image, video, language, or data APIs through MCP
•Poll asynchronous generation jobs
•Review recent calls and recorded costs

Key features

•Searches a catalog of 2,000+ AI models and APIs
•Shows input schemas and pricing before calls
•Executes synchronous and asynchronous endpoints
•Tracks run status and recorded costs
•Checks account balance through MCP

Capabilities & Tool Schemas (6) ~89 tokensApproximate context cost of this server’s tool schemas (~4 chars/token), before any tool is called. Actual usage depends on your client and model.Self-reported Self-reportedParsed from the repository README, not verified against a live server — may be incomplete or out of date.

Inspect callable tools, capabilities, and parameters exposed to AI agents by SandBase CLI.

sandbase_discover

Search all 2,000+ available AI models and APIs

sandbase_inspect

Get input schema, pricing, and ready-to-use template

sandbase_run

Execute a model or API endpoint

sandbase_run_get

Poll status/result of an async run (video gen, etc.)

sandbase_runs

List your recent API calls with cost breakdown

sandbase_account

Check account balance (free, no cost)

How SandBase CLI works

What SandBase CLI MCP server does

SandBase CLI MCP server gives an AI client one MCP interface for discovering and calling more than 2,000 AI models and APIs. The catalog can cover tasks such as language, image, video, search, social, and real-time data workflows, although the specific available endpoints and requirements should be checked before execution.

The server exposes discovery, inspection, execution, asynchronous status checks, run history, and account information. This makes it suitable for agents that need to select an endpoint dynamically rather than using one fixed provider integration.

How it works

The CLI connects an AI client to SandBase through a local MCP bridge. After the initial browser authorization, a supported client can use the MCP tools to work with the available catalog. The README describes the workflow as:

  1. Search for candidate models or APIs with sandbase_discover.
  2. Inspect the selected endpoint with sandbase_inspect to see its current input schema, pricing, and execution details.
  3. Confirm the endpoint and parameters, then call it with sandbase_run.
  4. For an asynchronous request, use the returned run ID with sandbase_run_get instead of submitting a duplicate request.
  5. Review recent activity and recorded costs with sandbase_runs.
  6. Check the account balance with sandbase_account.

This sequence lets an agent inspect requirements and possible cost before making a call.

Setup and configuration

The documented release command runs the CLI directly with npx and starts its MCP connection mode:

Terminal
npx -y https://github.com/sandbaseai/cli/releases/download/v0.1.17/sandbaseai-cli-0.1.17.tgz connect

On macOS or Linux, the README also documents Homebrew installation followed by sandbase connect:

sh
brew install sandbaseai/tap/sandbaseai-cli
sandbase connect

A browser authorization must be approved once. The project states that users do not need to manage individual API keys. For reproducible installation, the v0.1.17 archive and its published SHA-256 checksum can be downloaded and verified before execution.

The release also provides a read-only client compatibility check through catalog --json, which can be run before signing in or changing configuration.

Tools and capabilities

  • sandbase_discover searches the available model and API catalog.
  • sandbase_inspect returns an endpoint's input schema, pricing, and a ready-to-use template.
  • sandbase_run executes a selected model or API endpoint.
  • sandbase_run_get retrieves the status or result of an asynchronous run.
  • sandbase_runs lists recent calls with status and cost information.
  • sandbase_account checks the account balance without charging for the balance lookup.

Limitations and notes

The available endpoint catalog, schemas, pricing, and execution requirements should be treated as changeable and inspected at runtime. Calls can incur costs, so agents should inspect pricing before execution and use run polling for asynchronous work. The README states that the npm latest tag may not match the v0.1.17 GitHub release, so users needing that exact version should use the immutable release archive or the documented Homebrew route. Client compatibility should be checked with the provided catalog command rather than assumed from the presence of MCP support.

Read the full README →View source on GitHub →

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

GitHub stars
188
Stargazers on the source repository.
npm downloads
15M
Package downloads in the last 30 days.
Last commit
1mo ago
Most recent push to the default branch.
Install check
Inconclusive
Install command did not finish in our automated test.
Tools exposed
6
Callable tools this server registers over MCP.
Directory activity
11 views
Config copies, upvotes, and views on AllMCPs.

Reviews

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Frequently Asked Questions about SandBase CLI

Run `npx -y https://github.com/sandbaseai/cli/releases/download/v0.1.17/sandbaseai-cli-0.1.17.tgz connect`, or install the documented Homebrew formula and run `sandbase connect`.

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Technical Specs & Signals

Category🔗Aggregators
PricingFree
More technical detailsExpand ▾
TransportSSE (Remote)
AuthOther
Last updatedSep 2, 2026
96/96 checks healthy over the last 32d
Views11
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars188
GitHub Star CountTotal stargazers on GitHub representing community popularity (188 stars).
Last commit1mo ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Aug 28, 2026
npm downloads15,647,148/mo
Monthly npm DownloadsAverage monthly package installs recorded from npm registry statistics.
65Quality signal: Great · 65/100How this signal is calculated ▾
Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools27/30
Adoption & activity11/15
Community engagement1/10

A guidance signal from public completeness & health data — not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

Supply-chain signal

No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 6d ago via OSV.dev · https://tensorblock.co/mcp/servers/github-sandbaseai-cli-c4e113db (npm)

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