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
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 positioned as an infrastructure layer for the Model Context Protocol ecosystem: a directory and gateway that lets developers find, run, and connect hosted MCP servers into agent workflows rather than standing up and maintaining each integration themselves. It sits in the earlier stage of the conversation so far, with a quieter footprint than the vendors and infrastructure names it indexes. What presence exists tracks its role as connective tissue for the MCP layer: a reference point for teams sourcing or hosting MCP servers rather than a subject of its own launches or comparisons.
ACI.dev
Klavis
Smithery
Toolhouse
ProspeoShopify, 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.
Agent Readiness
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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