For developers building AI agents that need external tools, Glama is an MCP metaregistry and gateway that indexes available MCP servers and provides a hosted way to discover, run, and connect them into agent workflows.

Presence & Market Position

SOV Score

Tracked · below panel floor — earned mentions are accruing toward the next scored window.

Measures earned, engagement-weighted share of voice across the GTM voices panel. Methodology →

Glama is positioning itself as an MCP discovery and gateway layer for developers who need to find, run, and connect external tools to agents. Its market footprint is early, but practitioner discussion already centers on the practical problem of navigating a rapidly expanding server ecosystem and identifying usable tools beyond code generation. The product’s role is to make that ecosystem more accessible through a directory and hosted connection path. As MCP moves from an engineering protocol into a broader agent-workflow pattern, Glama provides a practical starting point for tool discovery and integration.

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Customers

Shopify, Cloudflare, Databricks, Accenture, Square, Duolingo, Zillow, UiPath, Zomato, Neo4j

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Business Profile

Glama started as a solo build: Frank Fiegel launched it in November 2024, days after Anthropic introduced the MCP protocol, and has run it independently since with no outside funding disclosed. Under a year and a half later the registry has scaled to tens of thousands of indexed servers, tens of thousands more hosted connectors, and reported usage past a million tool calls a month across 50,000-plus developers, still operated as a one-person company. The business has grown from a simple directory listing into a hosting and gateway product, adding managed infrastructure on top of the original index rather than raising to fund the expansion.

Founded
2024
Employees
1
Status
Independent
Scale stage
Startup
GTM Categories
GTM Developer ToolsAgent Tooling

Agent Readiness

82A
Agent Readiness
APIMCPSDKCLI

Measures how easily your agents can build on it — API, MCP, CLI, SDK, docs depth. Methodology →

Glama's product centers on agent-facing infrastructure: an MCP inspector for testing servers in-browser before wiring them into an agent, one-click hosting that skips Docker and TLS setup, and a gateway adding JSON-RPC logging, per-tool access control, and managed OAuth credentials on top of any hosted server. The build has moved from indexing what exists toward operating the runtime agents actually call, with usage analytics extending visibility past discovery and into how those tool calls perform in production.

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