Glama MCP
Discover, deploy, and connect to thousands of MCP servers via a managed gateway and AI chat interface.
Glama is the go-to MCP discovery and infrastructure platform, offering a massive server directory, security ranking, and a managed gateway. Its Projects & Memory features and reasoning capabilities make it a strong choice for production MCP workflows. However, teams needing full self-hosting or unlimited log retention should consider alternatives like self-hosting or Lightport.
Verified 15h ago · liveness 87/100 · cite: rightaichoice.com/tools/glama-mcp
- Teams adopting MCP protocol wanting a pre-vetted server directory and managed gateway
- Developers building AI agents that need to discover and connect to thousands of MCP servers
- Enterprises requiring security scanning and compatibility ranking for MCP infrastructure
- Projects needing persistent memory and document context across MCP interactions
- Teams wanting a fully self-hosted MCP solution with no third-party platform dependency
- Developers needing deep customization of server ranking algorithms beyond Glama's defaults
- Users working exclusively with non-MCP protocols and no intention to adopt MCP
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Skip Glama if you need full self-hosting or indefinite log retention, or if you prefer to manage your own MCP infrastructure entirely.
Going past 100k logs/month on Starter adds $9 per additional 100k logs, which can accumulate with heavy usage.
Glama's freemium model suits teams exploring MCP infrastructure. Starter at $9/mo with $9 AI credits is competitive for individuals, but costs can rise with additional servers and log volumes.
In short
Glama MCP — Discover, deploy, and connect to thousands of MCP servers via a managed gateway and AI chat interface. Best for Teams adopting MCP protocol wanting a pre-vetted server directory and managed gateway, Developers building AI agents that need to discover and connect to thousands of MCP servers, Enterprises requiring security scanning and compatibility ranking for MCP infrastructure. Free to start; paid plans from $9/mo.
What's new in Glama MCP
Checked todayAcross the latest 5 updates: 5 changelog entries.
Glama Gateway moved to dedicated domain
Gateway moved from glama.ai/api/gateway/openai/v1 to gateway.glama.ai/v1; legacy endpoint still supported.
Improved text streaming performance
Streaming is smoother and more consistent for better readability.
New web search tools
Web search tools refactored for faster response times and more accurate results.
Reasoning Capabilities
Standardized reasoning effort levels: low, medium, high.
Projects & Memory
Added projects with per-project documents, memories, and MCP configuration.
Viability Score
How well maintained and how widely used is Glama MCP? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: August 2026
How we score →Key Features
- MCP server discovery with security ranking
- Managed AI gateway (gateway.glama.ai/v1)
- ChatGPT-like UI
- Multiple transport support for MCP servers
- Projects with shared memory, files, and MCP connectors
- Per-project memory that learns preferences
- Web search tool for real-time results
- Web fetch tool for full page/PDF retrieval
- Standardized reasoning effort levels (low, medium, high)
- Improved text streaming performance
- Optimized image processing for more uploads
- Code execution in built-in MCP server
- MCP server usage analytics (24h/7d, tool breakdown)
- Free hosting for open-source MCP servers
- MCP Inspector for testing servers
About Glama MCP
Glama is a platform for discovering, deploying, and connecting to MCP (Model Context Protocol) servers. It indexes, scans, and ranks a large collection of servers based on security, compatibility, and ease of use. With a ChatGPT-like interface, multiple transport options, and an API gateway, Glama provides a unified way to access these servers, whether you're chatting or integrating via SDKs. Trusted by 50,000+ businesses, it's designed for teams and developers adopting MCP infrastructure. Key features include AI credits that are used through the AI Gateway, which supports models from OpenAI, Anthropic, Google, DeepSeek, Mistral, xAI, and more. The gateway has been moved to a dedicated domain (gateway.glama.ai/v1) for drop-in SDK compatibility. Glama also offers Projects & Memory, allowing you to organize work with shared memory, files, and MCP connectors, and web search and fetch tools for real-time information. Recent updates have improved text streaming performance, standardized reasoning effort levels, and added image processing optimizations. Glama hosts MCP servers, offering free hosting for open-source server maintainers, and charges per server instance on paid plans. It includes usage analytics to track server and tool usage, and a code execution feature in its built-in MCP server. The platform also provides an MCP Inspector for testing servers and a sidebar that evolves to show most-used features. Compared to self-hosting MCP servers, Glama provides pre-vetted infrastructure and a unified managed gateway, saving setup time but locking you into its cloud ecosystem. It's a practical choice for teams that want to avoid managing their own MCP server infrastructure and need a broad directory of pre-tested servers.
Behind the Verdict
Glama stands out in the MCP space by combining a comprehensive server directory with a managed gateway and AI chat interface. The platform's strength lies in its broad ecosystem: you can discover, test, and deploy MCP servers without managing your own infrastructure. The recent move to gateway.glama.ai/v1 improves SDK compatibility, making it easier to integrate with your existing stack. Projects & Memory add a layer of persistence that many teams need for complex workflows. However, Glama's cloud dependency means you're betting on their reliability and security. Log retention is capped at 180 days on the highest tier, which may not meet compliance needs. AI credits can be a hidden cost if you run heavy workloads. For teams that want full control, self-hosting or using Lightport (the open-source gateway) is a viable alternative. Best fits: teams adopting MCP protocol who want to avoid managing server infrastructure and need a broad directory of pre-tested servers. Not for: teams requiring full self-hosting or indefinite log retention.
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Real-world workflow fit
Concrete scenarios for the personas Glama MCP actually fits — and what changes day-one when you adopt it.
You need to find a reliable MCP server for web scraping but don't want to vet every option manually.
Outcome: You search Glama's directory, filter by security ranking, and connect to a community server in minutes via the AI gateway.
You want to give your team access to multiple AI models without managing separate API keys.
Outcome: You set up a Glama workspace, configure Projects & Memory, and route all model calls through gateway.glama.ai/v1, simplifying access.
You maintain an MCP server and want free hosting and visibility.
Outcome: You deploy your server on Glama for free, gain access to usage analytics, and increase adoption among Glama's user base.
Use Cases
- Discover and connect to community MCP servers for AI agent tool integration.
- Host your own open-source MCP server without managing infrastructure.
- Build custom agents that use multiple MCP connectors and per-project memory.
- Monitor MCP server usage and logs for debugging and compliance.
- Leverage unified AI gateway to access models from multiple providers via one API.
- Test MCP servers using the MCP Inspector before production deployment.
- Create per-project memory and documents to maintain context across conversations.
- Use reasoning levels to control model depth for cost-performance trade-offs.
Models Under the Hood
as of 2026-08-14
Limitations
- AI credits are required for model calls via chat or API; included credits may be insufficient for heavy use.
- Log retention is capped (30/90/180 days) without an option for indefinite retention.
- Number of fast hosted servers is limited by tier, though additional servers can be added at extra cost.
- No on-premise deployment option; you must use Glama's cloud unless you self-host the open-source gateway (Lightport).
as of 2026-08-14
Verification history
We have re-verified Glama MCP 12 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, features, integrations, who it suits, who should skip it
Showing the 6 most recent of 12 verification passes.
Free to cite with attribution — this page re-verifies continuously.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Plans compared
For each published Glama MCP tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Free
$0/mo
Ideal for
Open-source MCP server maintainers who want free hosting and those exploring the directory.
What this tier adds
Starting tier with free hosting for open-source servers and access to the MCP Inspector.
Starter
$9/mo
Ideal for
Solo developers or small teams needing chat & API access with limited hosting.
What this tier adds
Adds $9/mo AI credits, 3 fast hosted servers, unlimited connectors, and 100k logs/month.
Pro
$26/mo
Ideal for
Collaborative teams needing file uploads, projects, and more hosting capacity.
What this tier adds
Includes file uploads, Projects & Memory, web search/fetch tools, and 10 fast hosted servers.
Business
$80/mo
Ideal for
Organizations with automated workflows and higher usage needs.
What this tier adds
Adds custom exports, priority support, request labeling, and 30 fast hosted servers.
Where the pricing makes sense
The company stage and team size where Glama MCP's pricing actually pencils out — and where peers do it cheaper.
Glama's freemium model suits teams exploring MCP infrastructure. Starter at $9/mo with $9 AI credits is competitive for individuals, but costs can rise with additional servers and log volumes.
Setup time & first value
How long it actually takes to get something useful out of Glama MCP — broken out by persona, not the marketing-page minute.
For individuals: sign up and start chatting within minutes. For teams: configure Projects & Memory and integrations in under an hour. For enterprise: security review and custom setup may take a few days.
Switching to or from Glama MCP
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From self-hosted MCP servers: Deploy your server on Glama via public repo and connect it with one click.
- ↗To Lightport: Self-host the open-source gateway for custom infrastructure.
Integrations
Resources & Guides
Tutorials & Learning
Official links
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Frequently Asked Questions
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