Glama MCP
FreemiumDiscover, deploy, and connect to thousands of MCP servers with a managed gateway and AI chat interface.
By Tanmay Verma, Founder · Last verified 21 Jun 2026
4.8k views
Added 26d ago
85/100Safe BetIn short
Glama MCP — Discover, deploy, and connect to thousands of MCP servers with 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.
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Editorial Verdict
Best for
Teams adopting MCP protocol wanting a pre-vetted server directory and managed gatewayDevelopers building AI agents that need to discover and connect to thousands of MCP serversEnterprises requiring security scanning and compatibility ranking for MCP infrastructureProjects needing persistent memory and document context across MCP interactionsOpen-source MCP server maintainers wanting free hosting
Not ideal for
Teams wanting a fully self-hosted MCP solution with no third-party platform dependencyDevelopers needing deep customization of server ranking algorithms beyond Glama's defaultsUsers working exclusively with non-MCP protocols and no intention to adopt MCPOrganizations that require indefinite log retention
Glama is the leading 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. Recommended for teams wanting pre-vetted servers and a unified AI gateway. Compared to building your own MCP infrastructure, Glama saves time but locks you into its cloud. For strictly self-hosted solutions, consider alternatives like MCP Servers directly on your own infrastructure.
Last verified: June 2026
Behind the Verdict
Glama excels as a one-stop MCP platform. The directory of thousands of indexed servers with security and compatibility ranking saves you from manually vetting MCP servers. The AI gateway, now at gateway.glama.ai/v1, integrates with OpenAI SDKs and scales independently. The recent addition of Projects & Memory allows per-project context, and reasoning support with three effort levels is a differentiator. However, the platform is cloud-only — if you need on-premise deployment, you're limited to the open-source Lightport gateway alone. AI credits are used for both chat and API calls, so heavy usage may incur extra costs. Log retention is capped by tier (30/90/180 days). Overall, Glama is ideal for teams deep into MCP who want a managed, secure ecosystem. It's less suited for those who want full control over every component.
Skip Glama MCP if Skip Glama if you need a fully self-hosted MCP infrastructure with no cloud dependency, or if your team doesn't plan to use the MCP protocol at all.
Latest from Glama MCP
Updated todayAcross the latest 5 updates: 2 launches and 3 changelog entries.
LaunchBlog·Apr 27Newest
Lightport: Open-Sourcing Glama's AI Gateway
Glama open-sourced its AI gateway as Lightport on GitHub, allowing self-hosting of the gateway component.
LaunchBlog·Apr 3
OpenAI Tool Definition Quality Score (TDQS)
Introduced a quality score for OpenAI tool definitions to help developers evaluate and improve tool definitions.
ChangelogChangelog·Apr 2
Gateway moved to gateway.glama.ai/v1 with drop-in SDK compatibility
Glama Gateway moved to gateway.glama.ai/v1 for independent scaling and drop-in SDK compatibility with OpenAI, LangChain, etc.
ChangelogChangelog·Mar 17
New web search tools
Refactored integrated web search tools for faster response times and more accurate results.
ChangelogChangelog·Mar 15
Reasoning capabilities with three effort levels
Added model reasoning support with standardized effort levels: low, medium, high.
Viability Score
85/100
Safe BetHow likely is Glama MCP to still be operational in 12 months? Based on 4 signals — momentum (how recently it shipped), wrapper dependency, revenue model, and web presence.
momentum
100
funding runway
80
website health
90
github activity
45
wrapper dependency
100
Last calculated: June 2026
How we score →About Glama MCP
Glama is an MCP (Model Context Protocol) infrastructure platform for discovering, comparing, and connecting to thousands of MCP servers. Trusted by 50,000+ businesses, it indexes and ranks servers on security, compatibility, and ease of use. You get a ChatGPT-like UI, multiple transport options, and an API gateway to access the largest MCP server collection. Features include per-project documents and memory, model reasoning with three effort levels (low, medium, high), and web search tools for real-time answers. Glama also offers an open-source AI gateway called Lightport and has moved its gateway to gateway.glama.ai/v1 for SDK compatibility. Pricing is subscription-based with AI credits covering model calls via the gateway, which supports OpenAI, Anthropic, Google, DeepSeek, Mistral, xAI, and more.
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Key Features
- MCP server discovery with security ranking
- Server scanning for compatibility and safety
- ChatGPT-like UI for server interaction
- Multiple transport support for MCP servers
- API gateway with drop-in SDK compatibility
- Open-source AI gateway (Lightport)
- OpenAI Tool Definition Quality Score (TDQS)
- Projects & Memory with per-project documents
- Model reasoning with low, medium, high effort
- Web search tools with faster, accurate results
- Improved text streaming performance
- MCP Inspector for testing servers
- Code execution in built-in MCP server
- Usage analytics per MCP server and tool
- MCP sampling with human-in-the-loop approval
Real-world workflow fit
Concrete scenarios for the personas Glama MCP actually fits — and what changes day-one when you adopt it.
Solo developer building an AI agent
You need to integrate GitHub and Slack MCP servers into your agent. You sign up for Starter, search the directory for verified servers, and connect them with one click via the gateway.
Outcome: Within an hour, you have a working agent that can query GitHub issues and send Slack messages, with logs and analytics available.
Small team working on a customer support chatbot
Your team uses Pro plan to create a project with shared memory and documents. You connect a web search MCP server and a knowledge base server, and use the reasoning feature to handle complex queries.
Outcome: The chatbot answers accurately with up-to-date info and maintains context per customer, reducing response time by 50%.
Enterprise team evaluating MCP for internal tools
You use the Business plan to host 30 MCP servers, set up custom exports for compliance, and use priority support during rollout.
Outcome: A secure, scalable MCP infrastructure is ready in days, with security scanning and usage analytics for governance.
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
OpenAI GPT-4oAnthropic Claude 3.5 SonnetGoogle Gemini 2.5 ProDeepSeek V3Mistral LargexAI Grokglm-4.7-flashLlama 3.3 70B
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).
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Annual total
$108
Over 12 months
Effective monthly
$9
Billed monthly
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.
Starter
$9/month
Ideal for
Solo developer exploring MCP with limited hosting needs and up to 3 fast hosted servers.
What this tier adds
Starting tier with $9/month AI credits, chat & API access, 3 hosted MCP servers, and 30-day log retention.
Pro
$26/month
Ideal for
Small team collaborating on projects with per-project memory, file uploads, and web search.
What this tier adds
Adds file uploads, projects, per-project memory, web fetch/search tools, 10 hosted servers ($3/additional), and 90-day log retention.
Business
$80/month
Ideal for
Enterprise or automated workflows requiring priority support, custom exports, and 30 hosted servers.
What this tier adds
Adds custom exports, priority customer support, request labeling, 30 hosted servers ($2/additional), and 180-day log retention.
Integrations
DatabricksAccentureShopifyCloudflareDuolingoZomatoZillowSquareUiPathNeo4jOpenAIAnthropicGoogleDeepSeekMistralxAIDiscordReddit
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 Starter at $9/month suits solo developers exploring MCP with limited hosting and logs. Pro at $26/month adds file uploads, projects, memory, web tools, and 10 hosted servers — fits small teams. Business at $80/month targets automated workflows with priority support and 30 servers. Compared to building your own MCP infrastructure (costing time and engineering), Glama is cheaper. However, if you don't need the gateway or hosted servers, standalone MCP servers could be free.
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.
Solo developer: 10 minutes to sign up and connect your first MCP server. Small team: 30 minutes to set up a project with memory and multiple servers. Enterprise: 1-2 days to configure custom exports, team access, and monitoring.
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.
Migrating in
- →From manual MCP server setup: Move to Glama's hosted servers with one-click deploy from any public repository.
- →From self-hosted gateway: Replace your base_url with https://gateway.glama.ai/v1 for drop-in compatibility.
- →From separate AI providers: Unify access via Glama's gateway (OpenAI, Anthropic, Google, etc.) under one API key.
Migrating out
- ↗To self-hosted MCP: Export your MCP server configurations and run them on your own infrastructure.
- ↗To Lightport: Self-host Glama's open-source AI gateway (Lightport) with your own model API keys.
- ↗To competing gateways: Use your existing model API keys directly with providers (loss of unified billing).
Recent material changes
Pricing, brand, ownership, or deprecation changes worth knowing before you commit. Most-recent first.
- •Apr 27, 2026 — Open-sourced Lightport, Glama's AI gateway, on GitHub.
- •Apr 3, 2026 — Introduced OpenAI Tool Definition Quality Score (TDQS) for evaluating tool definitions.
- •Apr 2, 2026 — Glama Gateway moved to gateway.glama.ai/v1 with drop-in SDK compatibility.
- •Mar 17, 2026 — Refactored web search tools for faster and more accurate results; improved text streaming performance.
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Frequently Asked Questions
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