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Glasser

Access 1,000+ paid data APIs through MCP tools for search, inspection, execution, and run tracking.

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Install Glasser

Pick your client, then add it in one click or paste the config.

STDIONode.js
~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "glasser": {
      "command": "npx",
      "args": [
        "-y",
        "plugins"
      ]
    }
  }
}

Settings → Developer → Edit Config, merge this into mcpServers, then fully quit and reopen Claude Desktop.

We couldn’t confirm it starts correctly

We ran the install command but it didn't respond within our test window — this can mean a slow first-time install rather than a real problem.

npx -y plugins

Process exited before answering initialize.

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 21d ago.

Overview

The Glasser MCP server connects agents to Glasser’s catalog of paid data APIs for enrichment, SEO and SERP research, scraping, places, and news. It exposes catalog search, endpoint inspection, paid runs, run history, cancellation, and balance checks through `https://api.glasser.ai/mcp`. OAuth sign-in lets an agent use a Workspace balance, while clients that cannot open a browser can use a Glasser key. Reach for it when an agent needs on-demand access to multiple data APIs and the workflow can account for per-call charges.

Use cases

  • Search the catalog for enrichment or scraping endpoints
  • Inspect endpoint pricing before spending Workspace balance
  • Run paid SEO, places, news, or SERP data requests
  • Retrieve and monitor previous API runs
  • Check Workspace balance before execution

Key features

  • Catalog search and endpoint inspection
  • Paid endpoint execution with per-run charges
  • Run retrieval, listing, and cancellation
  • Workspace balance lookup
  • OAuth sign-in and key-based authentication
  • Optional CLI for large results, scripting, and CI

Security & health

What it can reach and how reliably it runs — from our own checks, not the maintainer’s claims.

ActiveLast checked 1d ago

Recent health check succeeded.

9/9 checks healthy over the last 38d

Supply-chain signal

No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 15d ago via OSV.dev · plugins (npm)

Adoption & maintenance

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

GitHub stars2Stargazers on the source repository.
npm downloads79kPackage downloads in the last 30 days.
Last commit14d agoMost recent push to the default branch.
Install checkInconclusiveDidn't respond in our test window — often a slow first install.
Directory activity1 viewsConfig copies, upvotes, and views on AllMCPs.

How Glasser works

What Glasser MCP server does

The Glasser MCP server gives supported agents access to a catalog of more than 1,000 paid data APIs through one Glasser account. The catalog covers use cases including data enrichment, SEO and SERP research, scraping, places, and news. The repository distributes agent-plugin manifests, MCP configuration, workflow instructions, and Cursor-specific spending rules; it does not contain executable server code or an install script.

Its MCP tools are designed around selecting and using catalog endpoints. An agent can search the catalog, inspect an endpoint, execute a run, retrieve or list previous runs, stop a run, and check the current balance. Only run creates a billable Run. Each Run reports its own charge.

How it works

The configured MCP URL is https://api.glasser.ai/mcp. For clients that support browser-based OAuth, the first tool call opens Glasser sign-in. The user selects the Workspace whose balance the agent may spend and approves access. Glasser then creates a key named MCP · <client> for that Workspace. Revoking that key from Glasser’s key-management page disconnects the client.

The intended workflow is to search for a suitable endpoint, inspect its price and charge clauses, run it, and report both the result and the charge. The included skill guides agents through that sequence. The optional CLI can handle results that are too large for an agent context window and can also support scripting and CI, but it is separate from the repository’s MCP configuration.

Setup and configuration

Cursor users can find glasser in Customize → Plugins or the Cursor Marketplace. Claude Code users can add the marketplace and install the plugin with /plugin marketplace add glasser-ai/plugins followed by /plugin install glasser@glasser. Any supported Agent Plugins client can use npx plugins add glasser-ai/plugins, which detects installed agents and installs the plugin for them.

For direct MCP setup, use the service URL above. Clients unable to open a browser can authenticate with a Glasser key using client-specific instructions in Glasser’s MCP documentation. The optional CLI is installed with npm install -g @glasser-ai/cli; glasser login authenticates it separately, or the CLI can use GLASSER_API_KEY.

Tools and capabilities

The Glasser MCP server provides these tools:

  • search finds endpoints in the Glasser catalog.
  • inspect reads endpoint details, including pricing and charge clauses.
  • run executes an endpoint and charges the selected Workspace balance.
  • runs_get retrieves a specific past Run.
  • runs_list lists past Runs.
  • runs_stop stops a Run.
  • balance reads the Workspace balance.

The package also includes a skill describing the catalog-to-execution workflow and a Cursor-only rule for spending guardrails.

Limitations and notes

The repository itself executes nothing and sends no telemetry of its own. Using run can spend Workspace funds, so endpoint pricing should be inspected before execution. The Glasser service is governed by its own terms of service and privacy policy.

The optional CLI and MCP connection use different service paths but can use the same Glasser account context: the CLI authenticates with its own key, while the MCP client receives an MCP · <client> key through OAuth. Disconnecting within a client does not revoke that key; revocation must be performed in Glasser key management.

Read the full README View source on GitHub

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Frequently Asked Questions about Glasser

Glasser is an MCP server that connects AI agents to Glasser’s catalog of 1,000+ paid data APIs. Its main tools are `search`, `inspect`, `run`, `runs_get`, `runs_list`, `runs_stop`, and `balance`, covering endpoint discovery, pricing checks, execution, run management, and Workspace balance reads.

Install it through Cursor, Claude Code, or the Agent Plugins CLI. Cursor users can search for `glasser` in Customize → Plugins; Claude Code users can add the marketplace and install the plugin; other supported agents can run `npx plugins add glasser-ai/plugins`.

Glasser authenticates MCP clients through browser-based OAuth when supported. The first tool call opens sign-in, where you choose a Workspace and approve access; Glasser then creates an `MCP · <client>` key. Clients without browser access can use a Glasser key instead.

Only the `run` tool creates a Run and charges the Workspace balance. The `search`, `inspect`, `runs_get`, `runs_list`, `runs_stop`, and `balance` tools read catalog, run, or balance information without creating a charge.

Yes, Glasser works with Cursor through its plugin marketplace. Search for `glasser` under **Customize → Plugins**, or open the Cursor Marketplace listing. The package also includes a Cursor-only rule that provides always-on spending guardrails.

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