Credal
The control plane for governed enterprise AI agents.
MCP server registry, in-browser inspector, and gateway with an LLM API bundled in.
Glama is a strong all-in-one: a big registry, a genuinely handy in-browser MCP Inspector, a gateway for access control and logging, plus a bundled multi-provider LLM API. The free open-source hosting is a nice draw for server authors. Caveats: self-reported scale numbers are large and hard to independently verify, the per-server-instance hosting model differs from per-call pricing so cost predictability depends on your setup, and, like all MCP registries, the space is crowded and fast-moving. Verify current plans with the vendor.
Glama is an MCP registry and gateway that indexes tens of thousands of servers, offers an in-browser MCP Inspector to test servers, and provides a gateway with logging, access control, managed OAuth, and analytics. It also bundles a unified LLM API across major providers. Browsing is free, open-source server hosting is free, and paid plans start around $9/month.
Launched as an MCP directory in late November 2024, days after Anthropic introduced the protocol, Glama has grown into one of the largest registries, self-reporting tens of thousands of indexed servers and thousands of hosted connectors. It lets developers browse servers by category, search across the tools they expose, and test any server in an in-browser MCP Inspector before installing. Beyond discovery, Glama runs a gateway that sits in front of MCP servers with request logging, per-tool access control, managed OAuth, and usage analytics, plus an AI Gateway that provides a unified API to models from OpenAI, Anthropic, Google, DeepSeek, and others. Browsing and inspecting are free; commercial plans (roughly $9 Starter, $26 Pro, $80 Business) bundle AI credits and fast hosted MCP servers, and hosting an open-source server is free.
Glama is a large MCP registry plus gateway with an in-browser Inspector and a bundled multi-provider LLM API, free to browse with paid plans from around $9/month.
Glama was launched as an MCP directory in late 2024 and expanded into a registry, gateway, and LLM gateway product. It was bootstrapped with no disclosed outside funding.
It serves developers connecting agents to tools, positioning itself as both a discovery layer and a governance/gateway layer for MCP.
Glama indexes a large catalog of servers, provides an in-browser MCP Inspector for testing, and runs a gateway with logging, per-tool access control, managed OAuth, and analytics.
It also offers a unified AI Gateway API across major LLM providers, with AI credits bundled into paid plans and free hosting for open-source servers.
Developers and teams building on MCP who want discovery, safe testing, gateway governance, and optionally a bundled LLM API in one place.
Developers discovering and testing MCP servers.
Engineering teams wanting gateway governance over MCP.
MCP community and open-source server authors.
A developer or team that wants one place to discover, inspect, host, and govern MCP servers, plus a unified LLM API.
Glama reports being bootstrapped with no disclosed outside funding; verify current status as this can change.
It is an MCP registry and gateway with an in-browser Inspector, plus a bundled unified LLM API across major model providers.
Yes. Glama's in-browser MCP Inspector lets you exercise a server's tools before adding it to a client.
Hosting an open-source MCP server on Glama is free. Other servers are charged per server instance on paid plans.
It launched as an MCP directory in late November 2024, just after Anthropic introduced the protocol.
A unified API that routes to models from OpenAI, Anthropic, Google, DeepSeek, Mistral, and others, with credits bundled into paid plans.
Side-by-side pages for pricing, features, and best-fit use cases.
The control plane for governed enterprise AI agents.
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