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Confidence reflects how many independent signals matched.
| Technology | Version | Confidence | First seen |
|---|---|---|---|
| JavaScript Frameworks & Libraries2 | |||
| – | High | 14 Oct 2026 | |
| – | High | 14 Oct 2026 | |
| Frontend Build Tools & CSS1 | |||
| 2.6.5 | High | 14 Oct 2026 | |
| CDN & Hosting1 | |||
| – | High | 14 Oct 2026 | |
| Transactional Email2 | |||
| – | High | 14 Oct 2026 | |
| – | High | 14 Oct 2026 | |
| Fonts & Icon Fonts1 | |||
| – | Low | 14 Oct 2026 | |
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# Glama > A directory of 97,619 Model Context Protocol servers and 30,924 remote connectors, every one scanned, scored, and testable in the browser. A superset of the official MCP Registry. Glama indexes MCP servers and clients, inspects each one, and publishes the result as web pages and as a public API. The catalog is far too large to enumerate here. Search it through the MCP API rather than by crawling. ## Programmatic access - [MCP API reference](https://glama.ai/mcp/reference): REST API over the directory. Search servers, read their tools, scores, and hosting attributes. - [MCP API OpenAPI description](https://glama.ai/api/mcp/openapi.json): OpenAPI description of the MCP API, for generating a client. - [API catalog](https://glama.ai/.well-known/api-catalog): RFC 9727 linkset naming every Glama API alongside its description document. ## Directory - [MCP directory](https://glama.ai/mcp): Search, compare, and connect to MCP servers, connectors, clients, and tools. - [MCP servers](https://glama.ai/mcp/servers): 97,619 MCP servers indexed from GitHub, the official MCP Registry, and community submissions, each scanned and scored. - [MCP connectors](https://glama.ai/mcp/connectors): 30,924 remote MCP servers reachable over Streamable HTTP, with no local installation. - [MCP clients](https://glama.ai/mcp/clients): Applications that speak MCP: editors, chat clients, and agents. - [MCP tools](https://glama.ai/mcp/tools): 990,948 tools exposed by servers in the directory, searchable by name and purpose. - [Categories](https://glama.ai/mcp/categories): Servers grouped by what they do. - [Attributes](https://glama.ai/mcp/attributes): Servers filtered by license, hosting model, transport, and other properties. ## Working with MCP servers - [MCP Inspector](https://glama.ai/mcp/inspector): Test any MCP server from the browser, including tools, resources, prompts, tasks, elicitation, sampling, and OAuth 2.1. - [MCP Gateway](https://glama.ai/mcp/gateway): A reverse proxy between AI clients and MCP servers, with call logging, per-tool access control, managed OAuth credentials, and usage analytics. - [MCP hosting](https://glama.ai/mcp/hosting): Deploy MCP servers on dedicated infrastructure with a built-in gateway, call logs, per-tool access control, and directory distribution. - [Chat](https://glama.ai/chat): Privacy-first AI workspace: chat across models with MCP servers attached. ## How the directory works - [Ranking methodology](https://glama.ai/mcp/methodology): How servers are discovered, scanned, scored, and ranked. - [MCP FAQ](https://glama.ai/mcp/faq): Common questions about MCP and about this directory. - [glama.json schema](https://glama.ai/mcp/schemas/server.json): JSON Schema for the glama.json a repository commits to claim and maintain its server listing. - [Connector schema](https://glama.ai/mcp/schemas/connector.json): JSON Schema for claiming a remote connector listing. - [Support](https://glama.ai/support): Contact us about the directory, a listing, or an account. ## Optional - [Blog](https://glama.ai/blog): Long-form writing on MCP, agents, and the directory. - [Terms of service](https://glama.ai/policies/terms-of-service): Terms governing use of Glama. - [Privacy policy](https://glama.ai/policies/privacy-policy): How we handle personal data. - [Vulnerability disclosure](https://glama.ai/policies/vulnerability-disclosure): How to report a security vulnerability.