Glama MCP
Discover, host, and connect to thousands of MCP servers through Glama's managed MCP gateway and AI chat workspace.
Glama's open-sourcing of its gateway as Lightport in 2026 removed the biggest objection to the platform: you can now take the routing layer with you. The directory, security ranking, and TDQS scoring remain the reason to start here rather than assembling MCP servers by hand. The catch is retention and storage limits on the upper tiers, so check what happens to logs when you outgrow Business.
Verified 15d ago · liveness 87/100 · cite: rightaichoice.com/tools/glama-mcp
- Teams adopting MCP that need a pre-vetted server directory plus a managed gateway
- Developers building AI agents who need to discover and connect to thousands of MCP servers
- Enterprises that want security scanning and compatibility ranking before trusting an MCP server
- Projects needing persistent memory and document context across MCP interactions
- Teams that require a fully self-hosted MCP stack with no third-party dependency at any point
- Developers who need to customize server ranking algorithms beyond the published defaults
- Users working exclusively with non-MCP protocols such as plain REST or gRPC tooling
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Skip Glama if you need a fully self-hosted MCP solution, require indefinite log retention, or are on a tight budget and can't absorb AI credit overages.
AI credits are consumed per model call, so heavy usage may require purchasing additional credits beyond your plan's monthly allowance.
Glama's pricing suits small to mid-sized teams that want a managed MCP gateway without infrastructure overhead. At $9/mo Starter it's cheaper than comparable managed solutions like Composio (which starts higher), but if you only need occasional access, the free tier with 3 servers and 100k logs might be enough. Enterprise teams needing SSO and higher limits may find cheaper per-seat options elsewhere.
In short
Glama MCP — Discover, host, and connect to thousands of MCP servers through Glama's managed MCP gateway and AI chat workspace. Best for Teams adopting MCP that need a pre-vetted server directory plus a managed gateway, Developers building AI agents who need to discover and connect to thousands of MCP servers, Enterprises that want security scanning and compatibility ranking before trusting an MCP server. Free to start; paid plans from $9/mo.
What's new in Glama MCP
Checked 6 days agoAcross the latest 2 updates: 2 news mentions.
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: September 2026
How we score →Key Features
- MCP server directory with security, compatibility, and ease-of-use rankings
- Managed AI gateway at gateway.glama.ai/v1 with OpenAI-compatible SDK
- ChatGPT-like chat interface with native MCP support for 5,000+ servers
- Multiple MCP transports for connecting servers and clients
- Projects with shared memory, files, and MCP connectors
- Per-project memory that learns user preferences over time
- Web search tool for real-time information
- Web fetch tool for full pages and PDFs
- Code execution in built-in MCP server
- Tool Definition Quality Score (TDQS) for grading MCP tool definitions
- Standardized reasoning effort levels (low, medium, high)
- Text streaming performance improvements
- Image processing optimizations
- MCP server usage analytics with 24h/7d windows and tool breakdown
- Free hosting for open-source MCP servers
About Glama MCP
Glama is an MCP (Model Context Protocol) platform that indexes, scans, and ranks thousands of servers, connectors, clients, and tools, then gives you a managed way to connect to them. It's built for two crowds: developers assembling AI agents who need a pre-vetted directory plus a drop-in gateway, and teams that want MCP capability without running their own hosting stack. The company claims 50,000+ businesses and professionals, with names like Databricks, Cloudflare, Shopify, and Duolingo shown on its homepage. The directory is the entry point; a ChatGPT-like UI, multiple transports, and per-server security scoring sit behind it. On the infrastructure side, Glama runs a managed AI gateway at gateway.glama.ai/v1 that speaks the OpenAI-style SDK format, so swapping it in is largely a base-URL change. Projects bundle shared memory, files, and MCP connectors, with per-project memory that learns preferences over time. Built-in tools cover web search, web fetch for full pages and PDFs, and code execution inside Glama's own MCP server, so agents have working primitives before you write a line of glue code. Recent engineering work has been about the gateway layer itself. The company released Tool Definition Quality Score (TDQS) to grade how clear and usable an MCP tool definition is, and in April 2026 it open-sourced the gateway as Lightport, which means you can self-host the same routing layer Glama uses. That's a meaningful shift for teams that wanted the directory but not the lock-in. Against self-hosting every MCP server yourself, Glama trades setup and maintenance time for cloud dependency. Against generic agent frameworks, it trades flexibility for a tested, security-ranked catalog and hosting. The free tier for open-source server hosting keeps the entry cost at zero; paid tiers scale fast servers, storage, and log retention.
Behind the Verdict
Start with Glama if your problem is discovery, not infrastructure. Finding an MCP server that actually works, is maintained, and doesn't leak your credentials is tedious, and the directory plus security ranking collapses that work into a search box. The managed gateway at gateway.glama.ai/v1 is the part most teams undervalue until they try to wire six different MCP servers into one agent. Where it bites is scale. Log retention and fast-server counts are tiered, so a heavy production deployment on the Business plan eventually runs into ceilings that a self-hosted setup wouldn't. If you're processing high query volumes or need indefinite log history, budget for that conversation with Glama before you commit. Lightport changes the calculus. Since the gateway is now open-source, a team can start on Glama's managed service, prove the workflow, then migrate the gateway in-house while keeping the directory as a research tool. That's a healthy exit path, and it's rare for a platform in this category to offer one. We'd use that as the migration story rather than assuming you're locked in forever. The closest alternative isn't a competing MCP directory, it's building your own gateway and curating servers yourself. That's viable if you have one or two well-understood servers and a platform team. It stops being viable when your agents need to reach dozens of tools across auth schemes, and that's where Glama earns its subscription. TDQS matters more than it sounds. MCP tool definitions vary wildly in quality, and a vague description causes agents to pick the wrong tool. Scoring definitions gives you a filter that most directories lack, and it's the kind of detail that separates a real platform from a list of links. Practical caveat: the vendor page and pricing page scraped
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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 quickly test several MCP servers for your AI agent project.
Outcome: You browse Glama's directory, filter by security rating, and connect a server to your project via the gateway. Within minutes, you're chatting with it through the UI to validate its functionality.
Your team wants to standardize on a set of MCP servers for internal tools.
Outcome: You use Glama to curate a list of approved servers, host them on Glama's free tier, and leverage Projects to share memory and context across your team. The analytics give visibility into server usage.
You maintain an open-source MCP server and want to make it easily accessible.
Outcome: You host it on Glama for free, increasing its visibility in the directory. Since Glama handles infrastructure, you can focus on developing features rather than server maintenance.
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 2026-09-15
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 2026-08-29
Verification history
We have re-verified Glama MCP 14 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, pricing tiers, features, integrations, who it suits, who should skip it
Showing the 6 most recent of 14 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
Individuals or teams wanting to explore MCP servers with basic chat and up to 3 hosted servers at zero cost.
What this tier adds
Free entry point with 3 fast hosted servers, unlimited connectors, and 100k logs/month (30 days retention).
Starter
$9/mo
Ideal for
Solo developers or small teams needing a bit more AI usage and server capacity without committing to high spend.
What this tier adds
Adds $9/month in AI credits and $4 per additional server, providing a low-cost step up from Free.
Pro
$26/mo
Ideal for
Professional developers and teams that need advanced features like file uploads, shared projects, and more server slots.
What this tier adds
Adds $26/month in AI credits, file uploads, Projects with shared memory, web fetch/search, and 10 fast hosted servers.
Business
$80/mo
Ideal for
Growing teams that require custom exports, priority support, and higher server limits for production workloads.
What this tier adds
Adds custom exports, priority support, 30 fast hosted servers, and extended log retention (180 days).
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 pricing suits small to mid-sized teams that want a managed MCP gateway without infrastructure overhead. At $9/mo Starter it's cheaper than comparable managed solutions like Composio (which starts higher), but if you only need occasional access, the free tier with 3 servers and 100k logs might be enough. Enterprise teams needing SSO and higher limits may find cheaper per-seat options elsewhere.
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 a developer, you can create an account and connect your first MCP server within 10-15 minutes. For a team, setting up shared Projects and memory may take 30-45 minutes. For an open-source maintainer, hosting a server on Glama takes about 15 minutes, including configuration.
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: If you're managing MCP servers yourself, you can copy your server configurations into Glama's hosting and use the gateway to unify API access.
- ↗To Lightport: Since Lightport is Glama's open-source gateway, you can self-host Lightport and connect to MCP servers directly, reducing dependency on Glama's cloud.
Integrations
Resources & Guides
Tutorials & Learning
YouTube returned 6 videos for “Glama MCP”, and we withheld 6: 6 did not mention Glama MCP. We are showing none, because we could not prove any of them are about Glama MCP.
Official links
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