Best MCP Server Directories for Developers

This blog was originally published on has quickly established itself as an open standard that easily connects AI applications to external data sources and tools. It acts as a universal interface that allows language models to access databases, APIs, or file systems in a standardized way. No custom integrations required. However, with thousands of MCP servers now available on dozens of MCP directories, it's hard for developers to find the right MCP server.

To help you choose, this article compares several MCP directories based on six practical criteria: how easy it is to find the right server, how carefully the entries are compiled and documented, how up-to-date and maintained the catalog is, what security and trust signals are available, how smoothly installation and configuration go, and how active the community is.

In our testing approach, we'll simulate realistic developer workflows that begin with identifying a need, continue with assessing the trustworthiness of a server, and culminate in the actual installation and execution in a standard MCP client.

The MCP registries

Several directories have established themselves within the MCP ecosystem, each with a different focus. The most notable are:

: Glama positions itself as a curated seal of approval for MCP servers. A team uses automated scans and manual reviews to ensure that projects have READMEs, valid licenses, and no known vulnerabilities. These stringent inclusion criteria make the catalog significantly more focused on quality than sheer quantity.

: MCP Market is operated by a private provider and positions itself as a comprehensive marketplace with the largest number of listed servers. It ranks servers by popularity and recency and categorizes them into topics like "API development".

Discoverability and finding the right server

To assess how well the various directories are suited for searching, we searched for an MCP server that allows access to a PostgreSQL database. On each platform, we entered the same search term and then examined how quickly a suitable solution could be found, what filtering options were available, and how detailed the respective descriptions were.

GitHub MCP Registry

The GitHub MCP Registry currently lists 87 servers as of March 2026 with a basic search bar, but no categories or filters. For instance, searching for "PostgreSQL" returns a single result: DBHub, a database server supporting PostgreSQL, MySQL, SQL Server, SQLite, and MariaDB. Each listing includes an install button, a short description, the provider, and the repository's GitHub star count.

PulseMCP

PulseMCP has a central search field with auto-complete and directly displays how many servers are found for the search term. For example, searching for "PostgreSQL", it lists 100+ results, with the first entry being an Anthropic's reference server, in addition to many other community maintained servers.

MCP Market works best when you're trying to figure out which server variant actually fits what you're doing.

Comparison

PulseMCP offers the strongest discovery experience here. It provides over a hundred results for PostgreSQL with popularity sorting and classification filters to give you a quick path from search to install. MCP Market is a solid runner-up: useful contextual details, but only once you're on a page. The other two are limited unless you already know what you're looking for.

Quality standards: curation vs. comprehensiveness

How a directory vets its servers matters as much as what it lists. Our goal is to assess the server's maturity, as well as its documentation, auditing, and user feedback while searching for "GitHub MCP server" on the presented platforms.

GitHub MCP Registry

The GitHub MCP registry performs basic validation for server.json, limited to format and namespace uniqueness, but doesn't evaluate documentation quality or run tests. Users can share feedback by opening GitHub issues against the server's GitHub repository, but the feedback isn't directly visible on the server details page. For example, when you search for "GitHub MCP Server", the details page essentially renders the Readme.md file of the corresponding server repository.

PulseMCP

PulseMCP shows the provider, official classification, number of visitors, and release date at a glance. For example, with a GitHub MCP server, you immediately notice the provider as GitHub and classification as Official reassuring users about the server's reliability. PulseMCP also explicitly refers to the server.json file for servers as a "standardized, official file format" and positions it as the source for installation, configuration, and usage guidelines.

MCP Market primarily caters to the preference for breadth and comfortable browsing.

Comparison

Glama is the only directory that appears to be taking a hands-on approach to curation. Scorecards, vulnerability checks, and license verification mean you can actually evaluate production readiness without leaving the platform to research yourself. Every other contender puts the quality eval on you.

Security and verification: GitHub server test case

Because MCP servers allow deep access to production systems, you need to choose a trusted directory. Platforms differ significantly in how they inspect code, authenticate maintainers, and flag vulnerabilities. Developers should understand the security features offered and where they need to perform their own checks.

GitHub MCP Registry

The official registry provides metadata but no security assessments. It checks whether the server.json file conforms to the schema and the namespace is unique. If users discover abuse or suspicious servers, they can report them via a GitHub issue. Maintainers can then add entries to a deny list. Beyond that, there are no code reviews, vulnerability scans, or verified maintainer badges.

The registry explicitly described itself as a "metaregistry" that delegates security and compliance to underlying package registries and downstream systems. For organizations, the registry recommends setting up private sub-registries with their own security policies.

Glama

Glama performs the most comprehensive check of MCP servers and displays the results as a scorecard. For instance, for the search of the GitHub MCP server, three categories are evaluated: security, licensing, and quality. The platform reported no known vulnerabilities and confirmed that the server functions as expected.

Glama also shows whether a server is inspectable, when it was last updated, and whether a README and license are available. Maintainers can verify their projects via a GitHub login. Until they do so, the message "Author not verified" appears.

PulseMCP

PulseMCP prioritizes openness and popularity signals. The GitHub MCP server is marked as "official" and the listing clearly identifies the provider (GitHub) and the responsible maintainer as GitHub. Visitor numbers and a popularity ranking serve as trust indicators, but there are no automated code or vulnerability checks.

The platform links to the server.json file, which contains installation and configuration instructions, and displays details such as authentication type (OAuth) and transport protocol (Streamable HTTP). Red flags, such as missing maintainer information or severely outdated servers, are not explicitly highlighted. Therefore, users must consult the GitHub repository and other sources themselves for a security assessment.

MCP Market

MCP Market is primarily aimed at developers who want to browse by use case, for example developer tools, API development, and workflow-oriented categories like browser automation, web scraping, and web app testing. The GitHub MCP server is tagged with categories, a short description, and GitHub stars. However, the directory provides no security checks or dependency information, and maintainer verifications are missing.

In addition, multiple entries with similar names can coexist, which can be confusing without additional checks. Security-relevant information, such as CVE scans (checks against the Common Vulnerabilities and Exposures database for known security issues), dependency lists, or "Report Issue" links, is not included in the listing. Developers must therefore rely on the linked repository and external security tools.

Glama is the clear outlier on security: it's the only directory running vulnerability scans (automated, but still viable), verifying maintainers, and surfacing dependency info. The rest of our directories leave that assessment up to you. PulseMCP's official/community classification helps with broad, initial trust signals, but it's not a meaningful substitute for actual code eval. If you're looking at servers for production use, Glama's scorecard saves you a step (depending on your acceptance criteria) that every other directory forces you to do externally.

Maintenance, up-to-dateness, and avoiding dead ends

The MCP landscape is changing quickly. New servers appear daily, while others are decommissioned. Developers need to pay attention to how current the entries in the directories are and whether outdated or broken servers are flagged. The table below shows a quick comparison of MCP server catalog's freshness across the four registries.

Installation experience, from discovery to running code

The following sections describe the installation and setup of the CLI on Mac to compare installation steps and time to first successful query.

Let's start by going through the details page of the DBHub MCP server on each of the four directories to understand how developers can discover and install the server.

Github Registry

The GitHub MCP Registry has a deep link that lets you install the MCP server directly in VS Code and use it with GitHub Copilot. But if you wanted to use it with a different agent (like Codex or Claude), the Registry simply displays the Readme.md file, and developers need to search through the file to understand the installation steps. The Readme.md file has quick start information to install dbhub, but it's not clear how one could use it as a MCP in an agent of your choice. After navigating through the Readme.md, I found a link to the

The info on the schema page wouldn't help the developer install the MCP, and as a result, the developers will need to rely on the Readme file for installation steps.

Note, that the Glama details page for MCP server also has an Install Server button, but that was disabled for DBHub. Additionally, if enabled, the button will install the MCP to Glama's own web-based agent, not to the agent of your choice.

To test the setup, we asked "Which tables are in the database?". Claude Desktop successfully connected to the DBHub MCP server and retrieved a complete list of all tables in the demo database. The response identified six tables: "department", "dept_emp", "dept_manager", "employee", "salary" and "title".

sub, and you'll have a dozen dropped on your head before you can even ask. The real problem underlying all these directories is controlling what happens after you connect them.

Every server in this comparison grants AI agents access to sensitive systems, like databases or code repositories. The directories we discussed may tell you whether a server is well-maintained or vulnerability-free, but it's not going to address what an agent is allowed to do once it's authenticated, which tools it can invoke, or whether a human needs to approve potentially risky actions.

Simplifying MCP security with Descope

Finding a server from a directory is easy. Installing, based on our experience, maybe requires a little metaknowledge or a dedicated agent. But actually running it in production? For that, you need identity infrastructure that none of these MCP servers ship with.

The to add auth to any MCP server built in Python.

Validate access to MCP servers with user auth and consent management.

Support context-aware MCP client registration through DCR and CIMD with agent risk assessment flows.

Assign granular per-agent and per-tool scopes to MCP clients.

Manage, monitor, and delete MCP clients connected to MCP servers.

With Descope, access is granted (or denied) at the function level, not API-wide, and policies adapt without touching your codebase. .