Glama
Glama is an all-in-one AI workspace and MCP infrastructure platform. It indexes, scans, ranks, inspects, hosts and gateways Model Context Protocol servers and connectors, while also providing a ChatGPT-like workspace for using AI models and tools.
At a Glance
- AI developers and MCP server maintainers
- Enterprises and business teams
- Coding-agent and automation-platform users
- Open-source projects publishing MCP servers
- +2 more
AI Tools by Glama
(1)
Tool Definition Quality Score (TDQS)
MCP Tool Definition Scorer
Discussions
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Products & Services
Searchable registry and superset of the official MCP Registry for open-source MCP servers; Glama builds, introspects, scans and quality-scores servers.
Directory of hosted remote MCP services and external SaaS/data connectors, with optional Glama Gateway fronting.
Deploy MCP servers from the registry, GitHub, Docker, npm or PyPI on dedicated infrastructure with Gateway endpoints, OAuth management, logs, access control and analytics.
Browser-based tool for testing any MCP server without login, supporting tools, resources, prompts, tasks, elicitation, sampling, OAuth 2.1, Streamable HTTP, SSE and local stdio via mcp-proxy.
Market Position
Glama positions itself as a specialized MCP ecosystem platform rather than a generic compute provider or passive directory: it combines a registry, browser inspector, hosting, gateway, quality scoring and AI workspace. Its hosting page contrasts integrated MCP features with Fly.io, Cloudflare Workers and self-hosted stacks; Lightport identifies Portkey Gateway as a more full-featured alternative at the gateway layer.
Leadership
Founders
Frank Fiegel
Engineer turned founder; LinkedIn identifies him as Founder at Glama. He created FastMCP (Node.js), ViteMCP, mcp-proxy and the awesome-mcp-servers collection.
Executive Team
Frank Fiegel
Founder
Engineer turned founder and creator of FastMCP, ViteMCP, mcp-proxy and awesome-mcp-servers; identified as the founder building Glama's MCP registry and gateway.
Founding Story
Glama launched its MCP directory on November 25, 2024, shortly after Anthropic publicly announced MCP. Its initial vision was to provide a trusted, free and open directory while supporting both local and remote execution; it expanded into one-click hosting, inspection, connectors and gateway infrastructure.
Business Model
Revenue Model
Subscription-based AI workspace plans with monthly AI credits, plus metered infrastructure charges for hosted MCP servers and egress. Open-source servers are free to browse and install locally; hosting and workspace/gateway capabilities are paid.
Pricing Tiers
Includes $26/month in AI credits; the chat page lists an additional $6 per 100k logs.
Business workspace plan with AI credits and team-oriented features.
Target Markets
- AI developers and MCP server maintainers
- Enterprises and business teams
- Coding-agent and automation-platform users
- Open-source projects publishing MCP servers
- SaaS vendors shipping hosted MCP connectors
- Teams needing private MCP hosting, access control and observability
- Discovering and comparing MCP servers, tools, clients and connectors
- Testing MCP servers in a browser before installation
- Deploying and operating MCP servers for production workloads
- Private enterprise MCP infrastructure
- Connecting coding agents and automation platforms to SaaS and data systems
- Publishing and distributing open-source MCP servers
- Databricks
- Accenture
- Shopify
- Cloudflare